Update app3.py

app3.py

@@ -3,7 +3,7 @@ import requests
 import time
 import requests
 import base64
-import time
+
 
 
 
@@ -15,8 +15,7 @@ token = '5UAYO8UWHNQKT3UUS9H8V360L76MD72DRIUY9QC2'
 ##############################################################
 #################################################
 
-def SD_call(image_prompt, age, color, hair_color,NSFW):
-
+def SD_call(prompt, image_prompt, weight, age, color, hair_color,hair_length,hair_texture,skin_details,eye_colors,NSFW):
 
     positive = "clothes"
     negative = "naked, nsfw, porn"
@@ -30,12 +29,22 @@ def SD_call(image_prompt, age, color, hair_color,NSFW):
         "Accept": "application/json",
         "Content-Type": "application/json"
     }
-    
-    # Define your data (this could also be a JSON payload)
-    print("SD_processing")
+
     if NSFW == True:
         positive = "naked, nsfw"
         negative = "clothes"
+
+    if prompt.strip():
+        total_prompt = prompt
+    
+    else:
+        color = ", ".join(color)
+        skin_details = ", ".join(skin_details)
+        total_prompt = f"masterpiece, best quality, 8k, (looking at viewer:1.1), gorgeous, hot, seductive, {age} years old american {color} woman, {weight} kilos woman, (eye contact:1.1), beautiful face, hyper detailed, best quality, ultra high res, {hair_length} {hair_color} {hair_texture} hair,{eye_colors} eyes, {skin_details} photorealistic, high resolution, detailed, raw photo, 1girl,{image_prompt}, amateur cellphone photography. f8.0, samsung galaxy, noise, jpeg artefacts, poor lighting, low light, underexposed, high contrast "
+
+    
+    # Define your data (this could also be a JSON payload)
+    print("SD_processing")
     data = {
         "input": {
             "api": {
@@ -50,8 +59,8 @@ def SD_call(image_prompt, age, color, hair_color,NSFW):
                 "override_settings_restore_afterwards": True,
                 "refiner_checkpoint": "",
                 "refiner_switch_at": 0.8,
-                "prompt": f"masterpiece, best quality, 8k, (looking at viewer:1.1), gorgeous, hot, seductive, {age} years old american {color} woman, (eye contact:1.1), beautiful face, hyper detailed, best quality, ultra high res, {hair_color} hair,blue eyes, photorealistic, high resolution, detailed, raw photo, 1girl,{image_prompt}, {positive} ",
-                "negative_prompt": f"EasyNegative, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandsv5-neg, {negative}",
+                "prompt": f"{total_prompt}, {positive}",
+                "negative_prompt": f"EasyNegative, fat, paintings, sketches, lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandsv5-neg, {negative}",
                 "seed": -1,
                 "batch_size": 1,
                 "steps": 30,
@@ -113,116 +122,25 @@ def SD_call(image_prompt, age, color, hair_color,NSFW):
 
 
 
-##############################################################
-#################################################
-
-
-
-def LLM_call(message_log, temperature):
-
-    serverless_api_id = '4whzcbwuriohqh'
-    # Define the URL you want to send the request to
-    url = f"https://api.runpod.ai/v2/{serverless_api_id}/run"
-
-    # Define your custom headers
-    headers = {
-        "Authorization": f"Bearer {token}",
-        "Accept": "application/json",
-        "Content-Type": "application/json"
-    }
 
-       
+def greet(prompt, image_prompt, weight, age, color, hair_color,hair_length,hair_texture,skin_details,eye_colors,NSFW):
+    image_path = SD_call(prompt, image_prompt, weight, age, color, hair_color,hair_length,hair_texture,skin_details,eye_colors,NSFW)
+    return "Image generated successfully", image_path
 
-    # Define your data (this could also be a JSON payload)
-    data = {
-
-        "input": {
-                "prompt": message_log,
-                "max_new_tokens": 4500,
-                "temperature": 0.7,
-                "top_k": 50,
-                "top_p": 0.9,
-                "repetition_penalty": 1.2,
-                "batch_size": 8,
-                "stop": ["</s>"]
-            }
-    }
-   
-    
-
-
-    # Send the POST request with headers and data
-    call = requests.post(url, headers=headers, json=data)
-    response_data = call.json()
-    msg_id = response_data['id']
-    print("Message ID:", msg_id)
-    output = "Output not available"
-    # Poll the API until the response is ready
-    while True:
-        # Get the status using the message ID
-        response = requests.get(f"https://api.runpod.ai/v2/{serverless_api_id}/status/{msg_id}", headers=headers)
-
-        if response.status_code == 200:
-            response_data = response.json()
-            status = response_data.get('status')
-
-            if status == 'COMPLETED':
-                # Access the 'output' directly from the response
-                output = response_data.get('output', 'Output not available')
-                print("Response content:", output)
-                break  # Exit the loop once the response is ready
-            elif status == 'FAILED':
-                error_message = response_data.get('error', 'Unknown error')
-                print("Request failed. Reason:", error_message)
-                break  # Exit the loop if the request failed
-        else:
-            print("Failed to get status. HTTP status code:", response.status_code)
-
-        # Wait for a short time before polling again (e.g., 2 seconds)
-        time.sleep(2)
-    
-    return output
-
-
-
-
-
-def Chat_call(chat,temperature):
-    message_log = [{"role": "assistant", "content": f"I want you to act as a woman named Julie. Use colloquial language. Julie is 25 years old, she is very hot physically, she loves watching football, she loves to talk about sex. Julie loves sex and being fucked. She never refuses anything. You'll answer to a man, call him baby. Write very short answers, 15 words."},]      
-    new_message = {"role": "user", "content": chat}
-    message_log.append(new_message)
-    response = LLM_call(message_log, temperature)
-    print("From Runpod:" + response)
-    return response
-
-
-
-
-########################################################
-#######################################################
-
-
-
-def greet(chat, image_prompt, temperature, age, color, hair_color,NSFW):
-    if image_prompt.strip():
-        image_path = SD_call(image_prompt,age, color, hair_color,NSFW)
-        return "Image generated successfully", image_path
-
-    if temperature > 3:
-        return "You are too warm please try again", None
-    else:
-        text_answer = Chat_call(chat,temperature)
-        return text_answer, None
 
 demo = gr.Interface(
     fn=greet,
     inputs=[
-        "text",
-        gr.Textbox(label="Image", lines=3),
-        gr.Slider(label="Text temperature", value=1, minimum=0, maximum=2),
+        gr.Textbox(label="Personal prompt", lines=3),
+        gr.Textbox(label="Girl_prompt", lines=3),
+        gr.Slider(label="Weight", value=55, minimum=40, maximum=150),
         gr.Slider(label="Age", value=22, minimum=18, maximum=75),
-        gr.Dropdown(["asian", "white", "black", "latina"], label="Color", info="Will add more later!"),
-        gr.Dropdown(["blond", "brune", "red", "white", "pink", "black", "blue", "green"], label="Hair color", info="Blond is cool"),
+        gr.CheckboxGroup(choices=["asian", "white", "black", "latina", "middle eastern","indigenous", "Mixed"],label="Color",type="value"),
+        gr.Radio(["black", "brown", "brunette", "dark brown", "light brown", "blonde", "dirty blonde", "platinum blonde", "red", "auburn", "ginger", "strawberry blonde", "gray", "silver", "white", "blue", "green", "purple", "pink", "rainbow", "multicolored"],label="Hair Color",type="value"),
+        gr.Radio(["short", "long", "mi-long"],label="Hair length", type="value"),
+        gr.Radio(["straight", "curvy", "wavy"],label="Hair texture", type="value"),
+        gr.CheckboxGroup(choices=["((tattoos))", "((birthmark))", "freckles", "((scars))"],label="Skin details", type="value"),
+        gr.Radio(["short", "hazel", "green", "blue", "gray", "amber", "black", "red", "violet"],label="Eye Color", type="value"),
         gr.Checkbox(label="NSFW", info="👀👀👀")
     ],
     flagging_options=["blurry", "incorrect", "other"],