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README (1).md

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+---
+title: Zero Shot Image Classification
+emoji: 💻
+colorFrom: blue
+colorTo: gray
+sdk: gradio
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

app.py

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+import io
+import ast
+import json
+import base64
+import spaces
+import requests
+import numpy as np
+import gradio as gr
+from PIL import Image
+from io import BytesIO
+import face_recognition
+from turtle import title
+from openai import OpenAI
+from collections import Counter
+from transformers import pipeline
+
+import urllib.request
+from transformers import YolosImageProcessor, YolosForObjectDetection
+import torch
+import matplotlib.pyplot as plt
+from torchvision.transforms import ToTensor, ToPILImage
+
+    
+client = OpenAI()
+
+pipe = pipeline("zero-shot-image-classification", model="patrickjohncyh/fashion-clip")
+
+color_file_path = 'color_config.json'
+attributes_file_path = 'attributes_config.json'
+import os
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+
+# Open and read the COLOR JSON file
+with open(color_file_path, 'r') as file:
+    color_data = json.load(file)
+
+# Open and read the ATTRIBUTES JSON file
+with open(attributes_file_path, 'r') as file:
+    attributes_data = json.load(file)
+
+COLOURS_DICT = color_data['color_mapping']
+ATTRIBUTES_DICT = attributes_data['attribute_mapping']
+
+
+def shot(input, category, level):
+    output_dict = {}
+    if level == 'variant':
+        subColour, mainColour, score = get_colour(ast.literal_eval(str(input)), category)    
+        openai_parsed_response = get_openAI_tags(ast.literal_eval(str(input)))
+        face_embeddings = get_face_embeddings(ast.literal_eval(str(input)))
+        cropped_images = get_cropped_images(ast.literal_eval(str(input)), category)
+
+        # Ensure all outputs are JSON serializable
+        output_dict['colors'] = {
+            "main": mainColour,
+            "sub": subColour,
+            "score": score
+        }
+        output_dict['image_mapping'] = openai_parsed_response
+        output_dict['face_embeddings'] = face_embeddings
+        output_dict['cropped_images'] = cropped_images
+
+    if level == 'product':
+        common_result = get_predicted_attributes(ast.literal_eval(str(input)), category)    
+        output_dict['attributes'] = common_result
+        output_dict['subcategory'] = category
+    
+    # # Convert the dictionary to a JSON-serializable format
+    # try:
+    #     serialized_output = json.dumps(output_dict)
+    # except TypeError as e:
+    #     print(f"Serialization Error: {e}")
+    #     return {"error": "Serialization failed"}
+
+    return json.dumps(output_dict)
+
+
+
+# @spaces.GPU  
+# def get_colour(image_urls, category):
+#     colourLabels = list(COLOURS_DICT.keys())
+#     for i in range(len(colourLabels)):
+#         colourLabels[i] = colourLabels[i] + " clothing: " + category
+
+#     responses = pipe(image_urls, candidate_labels=colourLabels)
+#     # Get the most common colour
+#     mainColour = responses[0][0]['label'].split(" clothing:")[0]
+
+
+#     if mainColour not in COLOURS_DICT:
+#         return None, None, None
+
+#     # Add category to the end of each label
+#     labels = COLOURS_DICT[mainColour]
+#     for i in range(len(labels)):
+#         labels[i] = labels[i] + " clothing: " + category
+
+#     # Run pipeline in one go
+#     responses = pipe(image_urls, candidate_labels=labels)
+#     subColour = responses[0][0]['label'].split(" clothing:")[0]
+
+#     return subColour, mainColour, responses[0][0]['score']
+
+@spaces.GPU
+def get_colour(image_urls, category):
+    # Prepare color labels
+    colourLabels = [f"{color} clothing: {category}" for color in COLOURS_DICT.keys()]
+    print("Colour Labels:", colourLabels)  # Debug: Print colour labels
+    print("Image URLs:", image_urls)       # Debug: Print image URLs
+
+    # Split labels into two batches
+    mid_index = len(colourLabels) // 2
+    first_batch = colourLabels[:mid_index]
+    second_batch = colourLabels[mid_index:]
+
+    # Process the first batch
+    responses_first_batch = pipe(image_urls, candidate_labels=first_batch)
+    # Get the top 3 from the first batch
+    top3_first_batch = sorted(responses_first_batch[0], key=lambda x: x['score'], reverse=True)[:3]
+
+    # Process the second batch
+    responses_second_batch = pipe(image_urls, candidate_labels=second_batch)
+    # Get the top 3 from the second batch
+    top3_second_batch = sorted(responses_second_batch[0], key=lambda x: x['score'], reverse=True)[:3]
+
+    # Combine the top 3 from each batch
+    combined_top6 = top3_first_batch + top3_second_batch
+    # Get the final top 3 from the combined list
+    final_top3 = sorted(combined_top6, key=lambda x: x['score'], reverse=True)[:3]
+
+    mainColour = final_top3[0]['label'].split(" clothing:")[0]
+
+    if mainColour not in COLOURS_DICT:
+        return None, None, None
+
+    # Get sub-colors for the main color
+    labels = [f"{label} clothing: {category}" for label in COLOURS_DICT[mainColour]]
+    print("Labels for pipe:", labels)  # Debug: Confirm labels are correct
+
+    responses = pipe(image_urls, candidate_labels=labels)
+    subColour = responses[0][0]['label'].split(" clothing:")[0]
+
+    return subColour, mainColour, responses[0][0]['score']
+
+
+
+
+@spaces.GPU  
+def get_predicted_attributes(image_urls, category):
+    # Assuming ATTRIBUTES_DICT and pipe are defined outside this function
+    attributes = list(ATTRIBUTES_DICT.get(category, {}).keys())
+
+    # Mapping of possible values per attribute
+    common_result = []
+    for attribute in attributes:
+        values = ATTRIBUTES_DICT.get(category, {}).get(attribute, [])
+
+        if len(values) == 0:
+            continue
+
+        # Adjust labels for the pipeline to be in format: "{attr}: {value}, clothing: {category}"
+        attribute_formatted = attribute.replace("colartype", "collar").replace("sleevelength", "sleeve length").replace("fabricstyle", "fabric")
+        values_formatted = [f"{attribute_formatted}: {value}, clothing: {category}" for value in values]
+
+        # Get the predicted values for the attribute
+        responses = pipe(image_urls, candidate_labels=values_formatted)
+        result = [response[0]['label'].split(", clothing:")[0] for response in responses]
+
+        # If attribute is details, then get the top 2 most common labels
+        if attribute_formatted == "details":
+            result += [response[1]['label'].split(", clothing:")[0] for response in responses]
+            common_result.append(Counter(result).most_common(2))
+        else:
+            common_result.append(Counter(result).most_common(1))
+
+    # Clean up the results into one long string
+    for i, result in enumerate(common_result):
+        common_result[i] = ", ".join([f"{x[0]}" for x in result])
+    
+    result = {}
+
+    # Iterate through the list and split each item into key and value
+    for item in common_result:
+        # Split by ': ' to separate the key and value
+        key, value = item.split(': ', 1)
+        
+        if key == "details":
+            details_split = value.split(" , ")
+            if len(details_split) == 2:
+                result["details_1"] = details_split[0]
+                result["details_2"] = details_split[1]
+            else:
+                result["details_1"] = value  # If there's only one detail, assign it to details 1
+        else:
+            result[key] = value
+
+    return result
+
+def get_openAI_tags(image_urls):
+    # Create list containing JSONs of each image URL
+    imageList = []
+    for image in image_urls:
+        imageList.append({"type": "image_url", "image_url": {"url": image}})
+    
+    openai_response = client.chat.completions.create(
+        model="gpt-4o",
+        messages=[
+            {
+            "role": "system",
+            "content": [
+                {
+                "type": "text",
+                "text": "You're a tagging assistant, you will help label and tag product pictures for my online e-commerce platform. Your tasks will be to return which angle the product images were taken from. You will have to choose from 'full-body', 'half-body', 'side', 'back', or 'zoomed' angles. You should label each of the images with one of these labels depending on which you think fits best (ideally, every label should be used at least once, but only if there are 5 or more images), and should respond with an unformatted dictionary where the key is a string representation of the url index of the url and the value is the assigned label."
+                }
+            ]
+            },
+            {
+            "role": "user",
+            "content": imageList
+            },
+        ],
+        temperature=1,
+        max_tokens=500,
+        top_p=1,
+        frequency_penalty=0,
+        presence_penalty=0
+    )
+    response = json.loads(openai_response.choices[0].message.content)
+    return response
+
+
+@spaces.GPU
+def get_face_embeddings(image_urls):
+    # Initialize a dictionary to store the face encodings or errors
+    results = {}
+
+    # Loop through each image URL
+    for index, url in enumerate(image_urls):
+        try:
+            # Try to download the image from the URL
+            response = requests.get(url)
+            # Raise an exception if the response is not successful
+            response.raise_for_status()
+
+            # Load the image using face_recognition
+            image = face_recognition.load_image_file(BytesIO(response.content))
+
+            # Get the face encodings for all faces in the image
+            face_encodings = face_recognition.face_encodings(image)
+
+            # If no faces are detected, store an empty list
+            if not face_encodings:
+                results[str(index)] = []
+            else:
+                # Otherwise, store the first face encoding as a list
+                results[str(index)] = face_encodings[0].tolist()
+        except Exception as e:
+            # If any error occurs during the download or processing, store the error message
+            results[str(index)] = f"Error processing image: {str(e)}"
+
+    return results
+
+# new
+ACCURACY_THRESHOLD = 0.86
+
+def open_image_from_url(url):
+    # Fetch the image from the URL
+    response = requests.get(url, stream=True)
+    response.raise_for_status()  # Check if the request was successful
+
+    # Open the image using PIL
+    image = Image.open(BytesIO(response.content))
+
+    return image
+
+# Add the main data to the session state
+main = [['Product Id', 'Sku', 'Color', 'Images', 'Status', 'Category', 'Text']]
+
+# This is the order of the categories list. NO NOT CHANGE. Just for visualization purposes
+cats = ['shirt, blouse', 'top, t-shirt, sweatshirt', 'sweater', 'cardigan', 'jacket', 'vest', 'pants', 'shorts', 'skirt', 'coat', 'dress', 'jumpsuit', 'cape', 'glasses', 'hat', 'headband, head covering, hair accessory', 'tie', 'glove', 'watch', 'belt', 'leg warmer', 'tights, stockings', 'sock', 'shoe', 'bag, wallet', 'scarf', 'umbrella', 'hood', 'collar', 'lapel', 'epaulette', 'sleeve', 'pocket', 'neckline', 'buckle', 'zipper', 'applique', 'bead', 'bow', 'flower', 'fringe', 'ribbon', 'rivet', 'ruffle', 'sequin', 'tassel']
+
+filter = ['dress', 'jumpsuit', 'cape', 'glasses', 'hat', 'headband, head covering, hair accessory', 'tie', 'glove', 'watch', 'belt', 'leg warmer', 'tights, stockings', 'sock', 'shoe', 'scarf', 'umbrella', 'hood', 'collar', 'lapel', 'epaulette', 'sleeve', 'pocket', 'neckline', 'buckle', 'zipper', 'applique', 'bead', 'bow', 'flower', 'fringe', 'ribbon', 'rivet', 'ruffle', 'sequin', 'tassel']
+
+# 0 for full body, 1 for upper body, 2 for lower body, 3 for over body (jacket, coat, etc), 4 for accessories
+yolo_mapping = {
+    'shirt, blouse': 3,
+    'top, t-shirt, sweatshirt' : 1,
+    'sweater': 1,
+    'cardigan': 1,
+    'jacket': 3,
+    'vest': 1,
+    'pants': 2,
+    'shorts': 2,
+    'skirt': 2,
+    'coat': 3,
+    'dress': 0,
+    'jumpsuit': 0,
+    'bag, wallet': 4
+}
+
+# First line full body, second line upper body, third line lower body, fourth line over body, fifth line accessories
+label_mapping = [
+    ['women-dress-mini', 'women-dress-dress', 'women-dress-maxi', 'women-dress-midi', 'women-playsuitsjumpsuits-playsuit', 'women-playsuitsjumpsuits-jumpsuit', 'women-coords-coords', 'women-swimwear-onepieces', 'women-swimwear-bikinisets'],
+    ['women-sweatersknits-cardigan', 'women-top-waistcoat', 'women-top-blouse', 'women-sweatersknits-blouse', 'women-sweatersknits-sweater', 'women-top-top', 'women-loungewear-hoodie', 'women-top-camistanks', 'women-top-tshirt', 'women-top-croptop', 'women-loungewear-sweatshirt', 'women-top-body'],
+    ['women-loungewear-joggers', 'women-bottom-trousers', 'women-bottom-leggings', 'women-bottom-jeans', 'women-bottom-shorts', 'women-bottom-skirt', 'women-loungewear-activewear', 'women-bottom-joggers'],
+    ['women-top-shirt', 'women-outwear-coatjacket', 'women-outwear-blazer', 'women-outwear-coatjacket', 'women-outwear-kimonos'],
+    ['women-accessories-bags']
+]
+
+MODEL_NAME = "valentinafeve/yolos-fashionpedia"
+
+feature_extractor = YolosImageProcessor.from_pretrained('hustvl/yolos-small')
+model = YolosForObjectDetection.from_pretrained(MODEL_NAME)
+
+def get_category_index(category):
+    # Find index of label mapping
+    for i, labels in enumerate(label_mapping):
+        if category in labels:
+            break
+    return i
+
+def get_yolo_index(category):
+    # Find index of yolo mapping
+    return yolo_mapping[category]
+
+def fix_channels(t):
+    """
+    Some images may have 4 channels (transparent images) or just 1 channel (black and white images), in order to let the images have only 3 channels. I am going to remove the fourth channel in transparent images and stack the single channel in back and white images.
+    :param t: Tensor-like image
+    :return: Tensor-like image with three channels
+    """
+    if len(t.shape) == 2:
+        return ToPILImage()(torch.stack([t for i in (0, 0, 0)]))
+    if t.shape[0] == 4:
+        return ToPILImage()(t[:3])
+    if t.shape[0] == 1:
+        return ToPILImage()(torch.stack([t[0] for i in (0, 0, 0)]))
+    return ToPILImage()(t)
+
+def idx_to_text(i):
+    return cats[i]
+
+# Random colors used for visualization
+COLORS = [[0.000, 0.447, 0.741], [0.850, 0.325, 0.098], [0.929, 0.694, 0.125],
+          [0.494, 0.184, 0.556], [0.466, 0.674, 0.188], [0.301, 0.745, 0.933]]
+
+# for output bounding box post-processing
+def box_cxcywh_to_xyxy(x):
+    x_c, y_c, w, h = x.unbind(1)
+    b = [(x_c - 0.5 * w), (y_c - 0.5 * h),
+         (x_c + 0.5 * w), (y_c + 0.5 * h)]
+    return torch.stack(b, dim=1)
+
+def rescale_bboxes(out_bbox, size):
+    img_w, img_h = size
+    b = box_cxcywh_to_xyxy(out_bbox)
+    b = b * torch.tensor([img_w, img_h, img_w, img_h], dtype=torch.float32)
+
+    return b
+
+def plot_results(pil_img, prob, boxes):
+    plt.figure(figsize=(16,10))
+    plt.imshow(pil_img)
+    ax = plt.gca()
+    colors = COLORS * 100
+    i = 0
+
+    crops = []
+    crop_classes = []
+    for p, (xmin, ymin, xmax, ymax), c in zip(prob, boxes.tolist(), colors):
+        cl = p.argmax()
+
+        # Save each box as an image
+        box_img = pil_img.crop((xmin, ymin, xmax, ymax))
+        crops.append(box_img)
+        crop_classes.append(idx_to_text(cl))
+
+        ax.add_patch(plt.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin,
+                                   fill=False, color=c, linewidth=3))
+
+        ax.text(xmin, ymin, idx_to_text(cl), fontsize=10,
+                bbox=dict(facecolor=c, alpha=0.8))
+
+        i += 1
+
+    # Remove white padding all around the image
+    plt.axis('off')
+    plt.subplots_adjust(left=0, right=1, top=1, bottom=0)
+    output_img = plt.gcf()
+    plt.close()
+
+    return output_img, crops, crop_classes
+
+
+def visualize_predictions(image, outputs, threshold=0.8):
+    # Keep only predictions with confidence >= threshold
+    probas = outputs.logits.softmax(-1)[0, :, :-1]
+    keep = probas.max(-1).values > threshold
+
+    # Convert predicted boxes from [0; 1] to image scales
+    bboxes_scaled = rescale_bboxes(outputs.pred_boxes[0, keep].cpu(), image.size)
+
+    # Get filtered probabilities and boxes based on the filter list
+    filter_set = set(filter)
+    filtered_probas_boxes = [
+        (proba, box) for proba, box in zip(probas[keep], bboxes_scaled)
+        if idx_to_text(proba.argmax()) not in filter_set
+    ]
+
+    # If there is a jumpsuit or dress detected, remove them if there are other clothes detected
+    contains_jumpsuit_or_dress = any(idx_to_text(proba.argmax()) in ["jumpsuit", "dress"] for proba, _ in filtered_probas_boxes)
+    if contains_jumpsuit_or_dress and len(filtered_probas_boxes) > 1:
+        filtered_probas_boxes = [
+            (proba, box) for proba, box in filtered_probas_boxes
+            if idx_to_text(proba.argmax()) not in ["jumpsuit", "dress"]
+        ]
+
+    # Remove duplicates: Only keep one box per class
+    unique_classes = set()
+    unique_filtered_probas_boxes = []
+    for proba, box in filtered_probas_boxes:
+        class_text = idx_to_text(proba.argmax())
+        if class_text not in unique_classes:
+            unique_classes.add(class_text)
+            unique_filtered_probas_boxes.append((proba, box))
+
+    # If there are remaining filtered probabilities, plot results
+    output_img = None
+    crops = None
+    crop_classes = None
+    if unique_filtered_probas_boxes:
+        final_probas, final_boxes = zip(*unique_filtered_probas_boxes)
+        output_img, crops, crop_classes = plot_results(image, list(final_probas), torch.stack(final_boxes))
+
+    # Return the classes of the detected objects
+    return [proba.argmax().item() for proba, _ in unique_filtered_probas_boxes], output_img, crops, crop_classes
+
+@spaces.GPU 
+def get_objects(image, threshold=0.8):
+    class_counts = {}
+    image = fix_channels(ToTensor()(image))
+    image = image.resize((600, 800))
+
+    inputs = feature_extractor(images=image, return_tensors="pt")
+    outputs = model(**inputs)
+
+    detected_classes, output_img, crops, crop_classes = visualize_predictions(image, outputs, threshold=threshold)
+    for cl in detected_classes:
+        class_name = idx_to_text(cl)
+        if class_name not in class_counts:
+            class_counts[class_name] = 0
+        class_counts[class_name] += 1
+
+    if crop_classes is not None:
+        crop_classes = [get_yolo_index(c) for c in crop_classes]
+
+    return class_counts, output_img, crops, crop_classes
+
+def encode_images_to_base64(cropped_list):
+    base64_images = []
+    for image in cropped_list:
+        with io.BytesIO() as buffer:
+            image.convert('RGB').save(buffer, format='JPEG')
+            base64_image = base64.b64encode(buffer.getvalue()).decode('utf-8')
+            base64_images.append(base64_image)
+    return base64_images
+
+
+# def get_cropped_images(images,category):
+#     cropped_list = []
+#     resultsPerCategory = {}
+#     for num, image in enumerate(images):
+#         image = open_image_from_url(image)
+#         class_counts, output_img, cropped_images, cropped_classes = get_objects(image, 0.37)
+#         if not class_counts:
+#             continue
+        
+#         # Get the inverse category as any other mapping label except the current one corresponding category
+#         inverse_category = [label for i, labels in enumerate(label_mapping) for label in labels if i != get_category_index(category) and i != 0]
+        
+#         # If category is a cardigan, we don't recommend category indices 1 and 3
+#         if category == 'women-sweatersknits-cardigan':
+#             inverse_category = [label for i, labels in enumerate(label_mapping) for label in labels if i != get_category_index(category) and i != 1 and i != 3]
+
+#         for i, image in enumerate(cropped_images):
+#             cropped_category = cropped_classes[i]
+#             print(cropped_category, cropped_classes[i], get_category_index(category))
+            
+#             specific_category = label_mapping[cropped_category]
+
+#             if cropped_category == get_category_index(category):
+#                 continue
+
+#             cropped_list.append(image)
+
+
+#     base64_images = encode_images_to_base64(cropped_list)
+
+#     return base64_images
+
+
+
+
+def get_cropped_images(images, category):
+    cropped_list = []
+    resultsPerCategory = {}
+    for num, image in enumerate(images):
+        image = open_image_from_url(image)
+        class_counts, output_img, cropped_images, cropped_classes = get_objects(image, 0.37)
+        
+        if not class_counts:
+            continue
+        
+        for i, image in enumerate(cropped_images):
+            cropped_list.append(image)
+    
+    # Convert cropped images to base64 strings
+    base64_images = encode_images_to_base64(cropped_list)
+
+    return base64_images
+
+
+
+
+
+# Define the Gradio interface with the updated components
+iface = gr.Interface(
+    fn=shot, 
+    inputs=[
+        gr.Textbox(label="Image URLs (starting with http/https) comma seperated "), 
+        gr.Textbox(label="Category"),
+        gr.Textbox(label="Level; accepted 'variant' or 'product'")
+    ], 
+    outputs="text",
+     examples=[
+        [['https://d2q1sfov6ca7my.cloudfront.net/eyJidWNrZXQiOiAiaGljY3VwLWltYWdlLWhvc3RpbmciLCAia2V5IjogIlc4MDAwMDAwMTM0LU9SL1c4MDAwMDAwMTM0LU9SLTEuanBnIiwgImVkaXRzIjogeyJyZXNpemUiOiB7IndpZHRoIjogODAwLCAiaGVpZ2h0IjogMTIwMC4wLCAiZml0IjogIm91dHNpZGUifX19',
+ 'https://d2q1sfov6ca7my.cloudfront.net/eyJidWNrZXQiOiAiaGljY3VwLWltYWdlLWhvc3RpbmciLCAia2V5IjogIlc4MDAwMDAwMTM0LU9SL1c4MDAwMDAwMTM0LU9SLTIuanBnIiwgImVkaXRzIjogeyJyZXNpemUiOiB7IndpZHRoIjogODAwLCAiaGVpZ2h0IjogMTIwMC4wLCAiZml0IjogIm91dHNpZGUifX19',
+ 'https://d2q1sfov6ca7my.cloudfront.net/eyJidWNrZXQiOiAiaGljY3VwLWltYWdlLWhvc3RpbmciLCAia2V5IjogIlc4MDAwMDAwMTM0LU9SL1c4MDAwMDAwMTM0LU9SLTMuanBnIiwgImVkaXRzIjogeyJyZXNpemUiOiB7IndpZHRoIjogODAwLCAiaGVpZ2h0IjogMTIwMC4wLCAiZml0IjogIm91dHNpZGUifX19'], "women-top-shirt","variant"]],
+    description="Add an image URL (starting with http/https) or upload a picture, and provide a list of labels separated by commas.",
+    title="Full product flow"
+)
+
+# Launch the interface
+iface.launch()

attributes_config.json

@@ -0,0 +1,1116 @@
+{"attribute_mapping":{
+    "women-sweatersknits-sweater": {
+        "fabricstyle": [
+            "Cable Knitted",
+            "Knitted"
+        ],
+        "pattern": [
+            "Floral",
+            "Patterned",
+            "Geometric",
+            "Solid",
+            "Graphic",
+            "Striped",
+            "Crochet",
+            "Dot Embroidered",
+            "Checked",
+            "Diamond Patterned"
+        ],
+        "sleevelength": [
+            "Sleeveless",
+            "Long Sleeve",
+            "Low Sleeve"
+        ],
+        "details": [
+            "Lace Detail ",
+            "Ruffled ",
+            "Buttoned ",
+            "Baloon Sleeve Lace Up Back ",
+            "Zippered ",
+            "Ribbed ",
+            "Arms Cut Out ",
+            "Ripped ",
+            "Detailed ",
+            "Pearl Detail ",
+            "Back Cut out ",
+            "Lace Up Back ",
+            "Open Shoulder ",
+            "One Shoulder ",
+            "Ribbed, Zippered",
+            "Ribbed Cut Out ",
+            "Zippered Neck ",
+            "Zippered Neck",
+            "Flare Sleeve ",
+            "Ribbed, Zippered ",
+            "Cold Shoulder Pearl Detail ",
+            "Asymmetrical ",
+            "Slit "
+        ],
+        "style": [
+            "Basic",
+            "Long Sleeve",
+            "Casual",
+            "Cropped",
+            "Crochet",
+            "Long",
+            "Cozy",
+            "Oversized",
+            "Loose",
+            "College"
+        ]
+    },
+    "women-top-croptop": {
+        "fabricstyle": [
+            "Denim",
+            "Cotton",
+            "Jersey",
+            "Lace",
+            "Woven",
+            "Knitted"
+        ],
+        "pattern": [
+            "Floral",
+            "Geometric",
+            "Solid",
+            "Striped",
+            "Crochet",
+            "Textured"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Sleeveless",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Basic",
+            "Half Zip",
+            "Ruched ",
+            "V-Shaped Front ",
+            "Ribbed ",
+            "Strappy",
+            "Ribbed",
+            "Metallic",
+            "Strappy ",
+            "Strappy Ruched Detail ",
+            "Drawstring ",
+            "Stone Embellished",
+            "Ribbed Neck Detail ",
+            "Halter, Tie back",
+            "Double Layer",
+            "Tie back",
+            "Crochet, Tassel",
+            "Zip Up Back Tassel Hem ",
+            "Crochet",
+            "Buttoned",
+            "Ribbed, Zippered "
+        ],
+        "style": [
+            "Basic",
+            "Boho",
+            "Corset",
+            "Cropped",
+            "Relaxed",
+            "Studded"
+        ]
+    },
+    "women-top-body": {
+        "fabricstyle": [
+            "Slinky Fabric",
+            "Velvet",
+            "Knitted",
+            "Woven"
+        ],
+        "pattern": [
+            "Solid"
+        ],
+        "sleevelength": [
+            "Sleeveless",
+            "Cap Sleeve",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Diamente Strap",
+            "Stone Embellished",
+            "Backless ",
+            "Cut Out ",
+            "Ruched",
+            "Cut Out",
+            "Ribbed"
+        ],
+        "style": [
+            "Basic",
+            "Low Cut",
+            "Polo"
+        ]
+    },
+    "women-loungewear-sweatshirt": {
+        "fabricstyle": [
+            "Woven"
+        ],
+        "pattern": [
+            "Color Block",
+            "Solid",
+            "Graphic",
+            "Striped"
+        ],
+        "sleevelength": [
+            "Sleeveless",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Neck Detail ",
+            "Kangaroo Pocket",
+            "Buttoned",
+            "Hooded, Drawstring "
+        ],
+        "style": [
+            "Basic",
+            "Cropped",
+            "Classic",
+            "Oversized",
+            "Relaxed"
+        ]
+    },
+    "women-dress-maxi": {
+        "fabricstyle": [
+            "Chiffon",
+            "Satin",
+            "Woven",
+            "Tulle",
+            "Knitted"
+        ],
+        "pattern": [
+            "Floral",
+            "Solid",
+            "Striped",
+            "Crochet",
+            "Ombre",
+            "Checked",
+            "Abstract"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Sleeveless",
+            "Long Sleeve",
+            "Low Sleeve"
+        ],
+        "details": [
+            "Zip-up",
+            "Tie Back, Halter",
+            "Buttoned, Tiered",
+            "Spaghetti Strap, Tiered",
+            "Ruched ",
+            "Buttoned Front Slit ",
+            "Buttoned ",
+            "Pleated Front ",
+            "Tiered, Drawstring",
+            "Asymmetrical, Cut Out ",
+            "Tiered",
+            "Ribbed Hoodie ",
+            "Ruched",
+            "Cut Out ",
+            "Strappy, Slit",
+            "Tie Front, Tiered",
+            "Puff Sleeves",
+            "Bust Cut Out ",
+            "Backless",
+            "Back Cut Out, Slit ",
+            "Buttoned",
+            "Crochet, Textured",
+            "Cut Out",
+            "Slit "
+        ],
+        "style": [
+            "Basic",
+            "Maxi",
+            "Casual",
+            "Bodycon",
+            "Midi"
+        ]
+    },
+    "women-coords-coords": {
+        "fabricstyle": [
+            "Velvet",
+            "Jersey",
+            "Lace",
+            "Satin",
+            "Woven",
+            "Tweed",
+            "Tulle",
+            "Knitted"
+        ],
+        "pattern": [
+            "Geometric",
+            "Tie Dye",
+            "Solid",
+            "Striped",
+            "Animal Print",
+            "Lace",
+            "Ombre",
+            "Checked",
+            "Abstract"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Sleeveless",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Asymmetrical",
+            "Halter, Asymmetrical",
+            "Tie Up Detail ",
+            "Mesh",
+            "Drawstring ",
+            "Zippered Neck ",
+            "One Shoulder ",
+            "Pocket",
+            "Buttoned ",
+            "Buttoned",
+            "Belt Detail ",
+            "Zippered ",
+            "Bell Sleeves"
+        ]
+    },
+    "women-dress-mini": {
+        "fabricstyle": [
+            "Chiffon",
+            "Velvet",
+            "Denim",
+            "Sequin",
+            "Satin",
+            "Woven",
+            "Tulle",
+            "Knitted"
+        ],
+        "pattern": [
+            "Floral",
+            "Geometric",
+            "Solid",
+            "Striped",
+            "Animal Print",
+            "Ombre",
+            "Abstract"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Sleeveless",
+            "Cap Sleeve",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Tie Front",
+            "Drawstring",
+            "Combined",
+            "Strappy Tassel Detail ",
+            "Ruched ",
+            "Buttoned Padded Shoulder ",
+            "Buttoned ",
+            "Ruffle ",
+            "Back Cut Out ",
+            "Ruffle",
+            "Ruffled, Balloon Sleeves",
+            "Belt ",
+            "Balloon Sleeves",
+            "Front Tassel ",
+            "Side Cut Out ",
+            "Halter",
+            "Asymmetrical Tie ",
+            "Cut Out ",
+            "Halter, Tiered",
+            "Puff Sleeves",
+            "Button Detail",
+            "Buttoned, Pleated ",
+            "Back Cut Out",
+            "Diamente Tassel Trim ",
+            "Drawstring, Ruffle",
+            "Buttoned",
+            "Belt Detail "
+        ],
+        "style": [
+            "Skater",
+            "Mini",
+            "Cut Out, Buttoned, Belt Detail",
+            "Casual",
+            "T-shirt",
+            "Bodycon",
+            "A-line",
+            "Oversized",
+            "Shirt",
+            "Wrap"
+        ]
+    },
+    "women-top-blouse": {
+        "colartype": [
+            "round-neck"
+        ],
+        "fabricstyle": [
+            "Slinky Fabric",
+            "Chiffon",
+            "Velvet",
+            "Sequin",
+            "Mesh",
+            "Crochet",
+            "Lace",
+            "Woven",
+            "Tulle",
+            "woven",
+            "Knitted"
+        ],
+        "pattern": [
+            "Floral",
+            "Embroidered",
+            "Geometric",
+            "Solid",
+            "Striped",
+            "Embroderied",
+            "crochet",
+            "Abstract"
+        ],
+        "sleevelength": [
+            "Long Sleeve",
+            "Short Sleeve",
+            "short-sleeve",
+            "Cap Sleeve",
+            "Sleeveless"
+        ],
+        "details": [
+            "Ruched, Bust Cut Out",
+            "Buttoned ",
+            "Ribbed ",
+            "Lace Up Faux Fur Trim ",
+            "Ribbed",
+            "Ruffle, Textured, Button detail",
+            "Buttoned, Bell Sleeves",
+            "Balloon Sleeves",
+            "Ruffled",
+            "Ruched",
+            "Tie Front, Puff Sleeves",
+            "Semi-sheer",
+            "Puff Sleeve ",
+            "Tie Side",
+            "Lace Up ",
+            "Pearl Detail on the Neckline ",
+            "Puff Sleeve, Ruched ",
+            "Puff Sleeve, V-Shaped Front",
+            "Ribbed Cut Out ",
+            "Ruffled, Tiered, Drawstring",
+            "Smocked",
+            "Pocket",
+            "Buttoned",
+            "Cut Out"
+        ],
+        "style": [
+            "Boho",
+            "Vintage",
+            "Cropped",
+            "Crochet",
+            "Romantic",
+            "Oversized",
+            "Loose"
+        ]
+    },
+    "women-dress-midi": {
+        "fabricstyle": [
+            "Denim",
+            "Linen",
+            "Faux Leather",
+            "Lace",
+            "Woven",
+            "Knitted"
+        ],
+        "pattern": [
+            "Floral",
+            "Geometric",
+            "Solid",
+            "Mesh",
+            "Striped",
+            "Crochet",
+            "Smocked",
+            "Abstract"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Sleeveless",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Smocked, Balloon Sleeves",
+            "Drawstring",
+            "Spaghetti Strap, Tiered",
+            "Buttoned ",
+            "Belted",
+            "Tiered",
+            "Strappy ",
+            "Side Slit",
+            "Spaghetti Strap, Tie Front",
+            "Ruched Padded Shoulder ",
+            "Cut Out ",
+            "Puff Sleeves",
+            "Smocked, Tiered, Tie Strap",
+            "Side Slit, Balloon Sleeves",
+            "Wide Strap",
+            "Spaghetti Strap",
+            "Puff Sleeves, Tiered",
+            "Smocked",
+            "Buttoned",
+            "Cut Out",
+            "Slit "
+        ],
+        "style": [
+            "Boho",
+            "Casual",
+            "Bodycon",
+            "A-line",
+            "Oversized"
+        ]
+    },
+    "women-bottom-trousers": {
+        "pantsstyle": [
+            "Wide Leg"
+        ],
+        "risetype": [
+            "High Waist"
+        ],
+        "fabricstyle": [
+            "Denim",
+            "Linen",
+            "Mesh",
+            "Cotton",
+            "Faux Leather",
+            "Lace",
+            "Satin",
+            "Woven",
+            "Tweed",
+            "Knitted"
+        ],
+        "pattern": [
+            "Crochet",
+            "Geometric",
+            "Solid",
+            "Striped"
+        ],
+        "details": [
+            "Elastic Waist, Pocket ",
+            "Pleated ",
+            "Pleated, Belt",
+            "Drawstring",
+            "Elastic Waist ",
+            "Elastic Waist, Drawstring",
+            "Elastic Waist",
+            "Slit ",
+            "Drawstring ",
+            "Sheer",
+            "Belt",
+            "Drawstring, Pocket",
+            "Belt Detail",
+            "Elastic Waist, Pocket",
+            "Pocket ",
+            "Zippered, Slit ",
+            "Pleated, Waist Detail",
+            "Boho",
+            "Side slits",
+            "Drawstring, Pocket detail",
+            "Tassel Hem ",
+            "Belt Detail ",
+            "Pleated",
+            "Elastic Waist, Belt Detail"
+        ]
+    },
+    "women-bottom-skirt": {
+        "fabricstyle": [
+            "Denim",
+            "Linen",
+            "Faux Leather",
+            "Satin",
+            "Woven",
+            "Tweed",
+            "Knitted"
+        ],
+        "pattern": [
+            "Floral",
+            "Embroidered",
+            "Animal Printed",
+            "Solid",
+            "Sequin",
+            "Zebra Print",
+            "Openwork",
+            "Spot Print",
+            "Embroderied",
+            "Checked"
+        ],
+        "details": [
+            "Tie Front",
+            "Drawstring, Buttoned",
+            "Pleated ",
+            "Pleated, Belt",
+            "Folded Belt ",
+            "Drawstring",
+            "Elastic Waist",
+            "Front Slit",
+            "Asymmetrical, Buttoned ",
+            "Zippered",
+            "Tiered, Elastic Waist",
+            "Elastic Waist, Slit ",
+            "Elastic Waist, Basic",
+            "Ribbed",
+            "Pocket detail",
+            "Seamless Hem and Belt ",
+            "Pleated, Double Waistband",
+            "Belt ",
+            "Belt",
+            "Elastic Waist, Tiered",
+            "Ruffled",
+            "Front Slit ",
+            "Belt Detail",
+            "Elastic Waist, Pleated",
+            "Waist Detail, Pleated",
+            "Pocket ",
+            "Slit",
+            "Wrap, Tie Side",
+            "Asymmetrical",
+            "Drawstring, Ruffle",
+            "Buttoned",
+            "Belt Detail ",
+            "Pleated",
+            "Slit "
+        ]
+    },
+    "women-bottom-leggings": {
+        "fabricstyle": [
+            "Faux Leather",
+            "Woven"
+        ],
+        "pattern": [
+            "Solid"
+        ],
+        "details": [
+            "Zippered ",
+            "Ribbed "
+        ]
+    },
+    "women-bottom-jeans": {
+        "fabricstyle": [
+            "Denim"
+        ],
+        "pattern": [
+            "Solid"
+        ],
+        "details": [
+            "Diamente Tassel Pocket ",
+            "Metallic",
+            "Reversed Fabric ",
+            "Ribbon Belt ",
+            "Tassel Hem ",
+            "Pocket ",
+            "Ribbed ",
+            "Fur Hem ",
+            "Slit "
+        ]
+    },
+    "women-outwear-blazer": {
+        "fabricstyle": [
+            "Tweed",
+            "Woven"
+        ],
+        "pattern": [
+            "Collar",
+            "Solid"
+        ],
+        "sleevelength": [
+            "Long Sleeve"
+        ],
+        "details": [
+            "Pocket ",
+            "Ruched Front Slit ",
+            "Buttoned ",
+            "Pocket Detail"
+        ],
+        "style": [
+            "Blazer",
+            "Classic",
+            "Cropped"
+        ]
+    },
+    "women-top-shirt": {
+        "fabricstyle": [
+            "Organza",
+            "Chiffon",
+            "Denim",
+            "Muslin",
+            "Linen",
+            "Cotton",
+            "Satin",
+            "Woven",
+            "Plisse"
+        ],
+        "pattern": [
+            "Embroidered",
+            "Geometric",
+            "Solid",
+            "Striped"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Sleeveless",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Lace Up Back",
+            "Loose Sleeves",
+            "Gem Detail ",
+            "Bow Details on the Neck ",
+            "Backless ",
+            "Detailed ",
+            "Drawstring, Ruffle, ",
+            "Ruched ",
+            "Back Cut out Lace Detail ",
+            "Buttoned ",
+            "Pocket",
+            "Sheer",
+            "Button Detail",
+            "Pocket ",
+            "Pocket, Belt Detail",
+            "Relaxed",
+            "Buttoned",
+            "Laser Cut Detailed"
+        ],
+        "style": [
+            "Basic",
+            "Boho",
+            "Casual",
+            "Vintage",
+            "Patchy",
+            "Cropped",
+            "Crochet",
+            "Classic",
+            "Oversized",
+            "Relaxed",
+            "Loose"
+        ]
+    },
+    "women-outwear-coatjacket": {
+        "fabricstyle": [
+            "Denim",
+            "Paperbag",
+            "Faux Leather",
+            "Woven",
+            "Patent Leather",
+            "Tweed",
+            "Corduroy"
+        ],
+        "pattern": [
+            "Collar",
+            "Solid",
+            "Block Coloured"
+        ],
+        "sleevelength": [
+            "Sleeveless",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Belt Detail",
+            "Zipper ",
+            "Pocket Ruched Back ",
+            "Lace Up ",
+            "Zipper, Padded ",
+            "Pocket Seamless Hem ",
+            "Drawstring ",
+            "Buttoned, Pocket",
+            "Buttoned ",
+            "Pocket, Drawstring ",
+            "Pocket",
+            "Buttoned, Belt",
+            "Pocket ",
+            "Patchy Hooded Back Detail ",
+            "Pocket, Buttoned ",
+            "Seamless Hem "
+        ],
+        "style": [
+            "Oversized",
+            "Short",
+            "Long",
+            "Cropped"
+        ]
+    },
+    "women-top-waistcoat": {
+        "fabricstyle": [
+            "Woven",
+            "Denim",
+            "Knitted"
+        ],
+        "pattern": [
+            "Checked",
+            "Solid",
+            "Striped"
+        ],
+        "sleevelength": [
+            "Sleeveless"
+        ],
+        "details": [
+            "Buttoned, Cross Back",
+            "Tailored",
+            "Buttoned",
+            "Buttoned, Pocket ",
+            "Buttoned "
+        ],
+        "style": [
+            "Cropped"
+        ]
+    },
+    "women-sweatersknits-cardigan": {
+        "fabricstyle": [
+            "Woven",
+            "Cable Knitted",
+            "Bouclette",
+            "Knitted"
+        ],
+        "pattern": [
+            "Floral",
+            "Patterned",
+            "Geometric",
+            "Solid",
+            "Strawberry Embroidered",
+            "Striped",
+            "Crochet"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Ribbed Cut Out ",
+            "Fur Detail ",
+            "Cut Out ",
+            "Buttoned ",
+            "Baloon Sleeve ",
+            "Buttoned",
+            "Pearl Detail ",
+            "Zippered ",
+            "Accessorized Back Cut out "
+        ],
+        "style": [
+            "Cropped",
+            "Crochet",
+            "Classic",
+            "Long",
+            "Oversized",
+            "Relaxed"
+        ]
+    },
+    "women-top-top": {
+        "fabricstyle": [
+            "Slinky Fabric",
+            "Chiffon",
+            "Metallic",
+            "Linen",
+            "Cotton",
+            "Mesh",
+            "Faux Leather",
+            "Lace",
+            "Woven",
+            "Knitted"
+        ],
+        "pattern": [
+            "Polka Dot",
+            "Floral",
+            "Solid",
+            "Star Patterned",
+            "Checked",
+            "Textured"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Sleeveless",
+            "Cap Sleeve",
+            "Long Sleeve"
+        ],
+        "details": [
+            "Ribbed, Cut Out ",
+            "Ruched ",
+            "Ribbed ",
+            "Strappy ",
+            "Smocked, Puff Sleeve",
+            "Spanish Sleeves",
+            "Detailed ",
+            "Sheer",
+            "Balloon Sleeves",
+            "Ruched",
+            "Buttoned, Ribbed",
+            "Ruffle, Sheer",
+            "Padded Shoulder ",
+            "Smocked",
+            "Crochet",
+            "Shoulder To Waist Gathered ",
+            "Buttoned",
+            "Underwire ",
+            "Pleated"
+        ],
+        "style": [
+            "Basic",
+            "Mini",
+            "Cropped",
+            "Bandeau",
+            "Crochet",
+            "Bodycon"
+        ]
+    },
+    "women-top-camistanks": {
+        "fabricstyle": [
+            "Knitted",
+            "Woven"
+        ],
+        "pattern": [
+            "Floral",
+            "Solid"
+        ],
+        "sleevelength": [
+            "Sleeveless"
+        ],
+        "details": [
+            "Basic",
+            "Basic ",
+            "Smocked",
+            "Ribbed, Mesh",
+            "Buttoned",
+            "Ribbed ",
+            "Ribbed, Buttoned ",
+            "Ribbed"
+        ],
+        "style": [
+            "Basic",
+            "Tank",
+            "Cropped"
+        ]
+    },
+    "women-top-tshirt": {
+        "fabricstyle": [
+            "Cotton",
+            "Woven"
+        ],
+        "pattern": [
+            "Printed",
+            "Acid washed",
+            "Solid",
+            "Striped"
+        ],
+        "sleevelength": [
+            "Short Sleeve",
+            "Sleeveless"
+        ],
+        "details": [
+            "Basic",
+            "Stone Embellished",
+            "Raw Edge",
+            "Filthy Stitch ",
+            "Studded"
+        ],
+        "style": [
+            "Basic",
+            "Relaxed",
+            "Loose"
+        ]
+    },
+    "women-playsuitsjumpsuits-playsuit": {
+        "fabricstyle": [
+            "Woven",
+            "Linen"
+        ],
+        "details": [
+            "Balloon Sleeves",
+            "Back Cut Out "
+        ],
+        "pattern": [
+            "Floral",
+            "Solid"
+        ]
+    },
+    "women-loungewear-activewear": {
+        "fabricstyle": [
+            "Woven"
+        ],
+        "pattern": [
+            "Solid"
+        ],
+        "details": [
+            "Elastic Waist, Pocket "
+        ],
+        "style": [
+            "Straight Leg"
+        ]
+    },
+    "women-bottom-shorts": {
+        "fabricstyle": [
+            "Denim",
+            "Linen",
+            "Cotton",
+            "Faux Leather",
+            "Woven",
+            "Tweed"
+        ],
+        "pattern": [
+            "Floral",
+            "Solid",
+            "Striped",
+            "Embroderied",
+            "Checked"
+        ],
+        "details": [
+            "Pocket detail",
+            "Belt Detail",
+            "Pleated ",
+            "Drawstring",
+            "Elastic Waist, Drawstring",
+            "Drawstring, Pocket detail",
+            "Elastic Waist",
+            "Belt",
+            "Pocket ",
+            "Drawstring, Pocket",
+            "Button detail, Double Layered",
+            "Elastic Waist, Ruffle",
+            "Ribbed"
+        ]
+    },
+    "women-playsuitsjumpsuits-jumpsuit": {
+        "fabricstyle": [
+            "Denim",
+            "Woven"
+        ],
+        "details": [
+            "Buttoned Ribbon Belt ",
+            "Pleated",
+            "Buttoned"
+        ],
+        "pattern": [
+            "Solid"
+        ]
+    },
+    "women-loungewear-joggers": {
+        "fabricstyle": [
+            "Woven",
+            "Knitted"
+        ],
+        "pattern": [
+            "Washed",
+            "Solid"
+        ],
+        "details": [
+            "Elastic Waist, Pocket",
+            "Pocket Detail",
+            "Drawstring",
+            "Elastic Waist",
+            "Slit "
+        ],
+        "style": [
+            "Basic",
+            "Regular Fit",
+            "Cargo",
+            "Straight Leg",
+            "Wide Leg"
+        ]
+    },
+    "women-loungewear-hoodie": {
+        "fabricstyle": [
+            "Woven"
+        ],
+        "pattern": [
+            "Solid"
+        ],
+        "sleevelength": [
+            "Long Sleeve"
+        ],
+        "details": [
+            "Hooded Ruched Bottom ",
+            "Zippered, Stitch Details"
+        ],
+        "style": [
+            "Cropped"
+        ]
+    },
+    "women-sweatersknits-blouse": {
+        "fabricstyle": [
+            "Mesh"
+        ],
+        "pattern": [
+            "Crochet"
+        ],
+        "sleevelength": [
+            "Long Sleeve"
+        ],
+        "details": [
+            "Mesh"
+        ]
+    },
+    "women-swimwear-bikinisets": {
+        "fabricstyle": [
+            "Knitted"
+        ],
+        "pattern": [
+            "Tie Dye",
+            "Solid",
+            "Ombre"
+        ],
+        "details": [
+            "Tie Side",
+            "Strappy",
+            "Crochet, Tie Side"
+        ],
+        "style": [
+            "Plunge",
+            "Triangle",
+            "Bandeau"
+        ]
+    },
+    "women-swimwear-onepieces": {
+        "pattern": [
+            "Solid"
+        ],
+        "details": [
+            "Asymmetric, Strappy",
+            "Strappy",
+            "Cut out"
+        ],
+        "style": [
+            "One Shoulder"
+        ]
+    },
+    "women-accessories-bags": {
+        "fabricstyle": [
+            "Canvas",
+            "Denim"
+        ],
+        "details": [
+            "2-handle"
+        ],
+        "pattern": [
+            "Solid"
+        ]
+    },
+    "women-dress-dress": {
+        "fabricstyle": [
+            "Woven"
+        ],
+        "pattern": [
+            "Solid"
+        ],
+        "sleevelength": [
+            "Short Sleeve"
+        ],
+        "details": [
+            "Puff Sleeves"
+        ]
+    },
+    "women-outwear-kimonos": {
+        "fabricstyle": [
+            "Woven"
+        ],
+        "pattern": [
+            "Embroidered"
+        ],
+        "sleevelength": [
+            "Long Sleeve"
+        ],
+        "style": [
+            "Long"
+        ]
+    }
+}}

color_config.json

@@ -0,0 +1,90 @@
+{
+"color_mapping":
+  {
+    "white": [
+      "Dusty White",
+      "White"
+    ],
+    "blue": [
+      "Baby Blue",
+      "Cerulean Blue",
+      "Cobalt Blue",
+      "Cornflower Blue",
+      "Ice Blue",
+      "Maya Blue",
+      "Midnight Blue",
+      "Moroccan Blue",
+      "Navy Blue",
+      "Oxford Blue",
+      "Powder Blue"
+    ],
+   "denim": [
+     "Dark Blue Denim",
+      "Light-Mid Blue Denim",
+      "Light Blue Denim",
+      "Mid Blue Denim"
+   ],
+   "grey": [
+     "Charcoal Grey",
+      "Dark Grey",
+      "Grey",
+      "Light Grey",
+      "Silver Grey",
+      "Slate Grey"
+   ],
+   "orange": [
+     "Bright Orange", 
+     "Pumpkin Orange", 
+     "Pale Orange"
+   ],
+   "pink": [
+     "Blush Pink",
+     "Bright Pink",
+     "Carnation Pink",
+     "Dusty Rose Pink",
+     "Magenta Pink",
+     "Neon Pink",
+     "Powder Pink"
+   ],
+   "natural": [
+     "Beige Natural",
+     "Cream Natural",
+     "Ivory Natural",
+     "Natural",
+     "Oatmeal Natural",
+     "Stone Natural",
+     "Tan Natural"
+   ],
+   "yellow": [
+     "Amber Yellow", 
+     "Lemon Yellow"
+   ],
+   "multicolor": ["Multicolor"],
+   "brown": [
+     "Beaver Brown",
+     "Camel Brown",
+     "Chestnut Brown",
+     "Coffee Brown",
+     "Dark Mocha Brown",
+     "Mocha Brown",
+     "Walnut Brown"
+   ],
+   "green": ["Emerald Green",
+    "Forest Green",
+    "Green",
+    "Khaki Green",
+    "Mint Green",
+    "Olive Green",
+    "Pine Green",
+    "Sacramento Green",
+    "Sage Green",
+    "Lime Green"],
+   "purple": ["Amethyst Purple",
+    "Lavender Purple",
+    "Mauve Purple",
+    "Periwinkle Purple",
+    "Lilac Purple",
+    "Electric Purple"],
+   "red": ["Brick Red", "Cherry Red","Red"]}
+
+}

requirements.txt

@@ -0,0 +1,5 @@
+transformers
+torch
+openai
+face_recognition
+torchvision