Update app.py

app.py

@@ -16,61 +16,6 @@ import datasets
 from datasets import load_dataset, Image, Features, Array3D
 from PIL import Image
 from paddleocr import PaddleOCR
-import socket
-# from send_email_user import send_user_email
-from huggingface_hub import HfApi
-import smtplib
-
-HF_TOKEN = os.environ.get("HF_TOKEN")
-# mydataset_name = "pragnakalp/OCR-img-to-text"
-# print("$$$$$$$$$$$$$$$$$$$$$$$$$$$$",type(mydataset_name))
-# hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN,mydataset_name)
-
-
-DATASET_REPO_URL = "https://huggingface.co/datasets/pragnakalp/OCR-img-to-text"
-DATA_FILENAME = "ocr_data.csv"
-DATA_FILE = os.path.join("ocr_data", DATA_FILENAME)
-# DATA_FILENAME2 = "image"
-# DATA_FILE2 = os.path.join("ocr_data",DATA_FILENAME2)
-HF_TOKEN = os.environ.get("HF_TOKEN")
-DATASET_REPO_ID = "pragnakalp/OCR-img-to-text"
-print("is none?", HF_TOKEN is None)
-try:
-    hf_hub_download(
-        repo_id=DATASET_REPO_ID,
-        filename=DATA_FILENAME,
-        cache_dir=DATA_DIRNAME,
-        force_filename=DATA_FILENAME
-    )
-    
-except:
-    print("file not found")
-
-repo = Repository(
-    local_dir="ocr_data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
-)
-
-def get_device_ip_address():
-
-    if os.name == "nt":
-        result = "Running on Windows"
-        hostname = socket.gethostname()
-        result += "\nHostname:  " + hostname
-        host = socket.gethostbyname(hostname)
-        result += "\nHost-IP-Address:" + host
-        return result
-    elif os.name == "posix":
-        gw = os.popen("ip -4 route show default").read().split()
-        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-        s.connect((gw[2], 0))
-        ipaddr = s.getsockname()[0]
-        gateway = gw[2]
-        host = socket.gethostname()
-        result = "\nIP address:\t\t" + ipaddr  + "\r\nHost:\t\t" + host
-        return result
-    else:
-        result = os.name + " not supported yet."
-        return result
 
             
 """
@@ -118,147 +63,40 @@ def ocr_with_easy(img):
     bounds = reader.readtext('image.png',paragraph="False",detail = 0)
     bounds = ''.join(bounds)
     return bounds
-
-# def store_single_disk(image, image_id, label):
-#     """ Stores a single image as a .png file on disk.
-#         Parameters:
-#         ---------------
-#         image       image array, (32, 32, 3) to be stored
-#         image_id    integer unique ID for image
-#         label       image label
-#     """
-#     Image.fromarray(image).save(disk_dir / f"{image_id}.png")
-
-#     with open(disk_dir / f"{image_id}.csv", "wt") as csvfile:
-#         writer = csv.writer(
-#             csvfile, delimiter=" ", quotechar="|", quoting=csv.QUOTE_MINIMAL
-#         )
-#         writer.writerow([label])
         
 """
 Generate OCR
 """
 def generate_ocr(Method,img):
     try:
-        text_output = ''
-        add_csv = []
-        image_id = 1
-        print("Method___________________",Method)
-        if Method == 'EasyOCR':
-            text_output = ocr_with_easy(img)
-        if Method == 'KerasOCR':
-            text_output = ocr_with_keras(img)
-        if Method == 'PaddleOCR':
-            text_output = ocr_with_paddle(img)
-
-        new_data=img.reshape(img.shape)
-        imge = Image.fromarray(new_data.astype(np.uint8),'RGB')
-        feature = datasets.Image(decode=False)
-        add_csv = [Method,img,text_output]
-        # new_image = {'image': feature.encode_example(imge)}
-        # print("newimage:  ",new_image)
-        with open(DATA_FILE, "a") as f:
-            writer = csv.writer(f)
-            # write the data
-            writer.writerow(add_csv)
-            commit_url = repo.push_to_hub()
-            print(commit_url)
-        
-        # print("^^%%",Image.fromarray(img).save(DATA_FILE2 +"/"+ f"{image_id}.png"))
-        # with open(DATA_FILE2, "wt") as csvfile:
-        #     writer = csv.writer(
-        #         csvfile, delimiter=" ", quotechar="|", quoting=csv.QUOTE_MINIMAL
-        #     )
-        #     writer.writerow(['0'])
-            
-        # try:
-        #     dataset = load_dataset("pragnakalp/OCR-img-to-text", streaming=True)
-        #     print(dataset.features)
-        # except Exception as e: 
-        #     print("error in loading data",e)
-
-            
-        # with open(DATA_FILE, "a") as csvfile:
-        #     writer = csv.Writer(csvfile)
-        #     writer.writerow(add_csv)
-        # commit_url = repo.push_to_hub()
-        # print(commit_url)
-            
-        # save_details(Method,text_output,img)
-        # sender="pragnakalp.dev33@gmail.com"
-        # password="httscgatatbbxxur"
-        # reciever="pragnakalp.dev35@gmail.com"
-
-        # s = smtplib.SMTP('smtp.gmail.com', 587)
-        # s.starttls()
-        # s.ehlo()
-        # s.login(sender,password)
-
-        # message = """Subject : Appointment Booking\n\n
-        #         Hello,
-        # Your OCR generated successfully"""
-        # s.sendmail(sender, reciever, message)
-        # s.quit()
-        # mailsend=1
-        # print("Send mail successfully")
-        return text_output
+        if img.any():
+            text_output = ''
+            add_csv = []
+            image_id = 1
+            print("Method___________________",Method)
+            if Method == 'EasyOCR':
+                text_output = ocr_with_easy(img)
+            if Method == 'KerasOCR':
+                text_output = ocr_with_keras(img)
+            if Method == 'PaddleOCR':
+                text_output = ocr_with_paddle(img)
+    
+            return text_output
+        else:
+            raise gr.Error("Please upload an image!!!!")
     
     except Exception as e:
         print("Error in ocr generation ==>",e)
         text_output = "Something went wrong"
     return text_output
-"""
-Save generated details
-"""
-def save_details(Method,text_output,img):
-    # print("//////////")
-    hostname = get_device_ip_address()
-    # url = 'https://pragnakalpdev33.pythonanywhere.com/HF_space_image_to_text'
-    # url = 'http://pragnakalpdev35.pythonanywhere.com/HF_space_image_to_text'
-    # myobj = {'Method': Method,'text_output':text_output,'img':img.tolist(),'hostname':hostname}
-    # x = requests.post(url, json = myobj)
     
-#     method = []
-#     img_path = []
-#     text = []
-#     input_img = ''
-#     hostname = ''
-#     picture_path = "image.jpg"    
-#     curr_datetime = datetime.now().strftime('%Y-%m-%d %H-%M-%S')
-#     if text_output:
-#         splitted_path = os.path.splitext(picture_path)
-#         modified_picture_path = splitted_path[0] + curr_datetime + splitted_path[1]
-#         cv2.imwrite("myimage.jpg", img)
-#         with open('savedata.txt', 'w') as f:
-#             print("write test")
-#             f.write("testdata")
-#         print("write Successfully")
-#         # img = Image.open(r"/home/user/app/")
-#         # img.save(modified_picture_path)
-#         input_img = modified_picture_path
-#         try:
-#             df = pd.read_csv("AllDetails.csv")
-#             df2 = {'method': Method, 'input_img': input_img, 'generated_text': text_output}
-#             df = df.append(df2, ignore_index = True)
-#             df.to_csv("AllDetails.csv", index=False)
-#         except:
-#             method.append(Method)
-#             img_path.append(input_img)
-#             text.append(text_output)
-#             dict = {'method': method, 'input_img': img_path, 'generated_text': text}
-#             df = pd.DataFrame(dict,index=None)
-#             df.to_csv("AllDetails.csv")
-
-        
-    return send_user_email()
-    # return x
 
 """
 Create user interface for OCR demo
 """
 
-image = gr.Image(shape=(224, 224),elem_id="img_div")
-method = gr.Radio(["EasyOCR", "KerasOCR", "PaddleOCR"],value="PaddleOCR",elem_id="radio_div")
+image = gr.Image(shape=(300, 300))
+method = gr.Radio(["PaddleOCR","EasyOCR", "KerasOCR"],value="PaddleOCR")
 output = gr.Textbox(label="Output")
 
 demo = gr.Interface(
@@ -266,10 +104,11 @@ demo = gr.Interface(
     [method,image],
     output,
     title="Optical Character Recognition",
-    description="Try OCR with different methods",
     css=".gradio-container {background-color: lightgray} #radio_div {background-color: #FFD8B4; font-size: 40px;}",
-    allow_flagging = "manual"
- #    flagging_dir = "flagged",
-	# flagging_callback=hf_writer
+    article = """<p style='text-align: center;'>Feel free to give us your thoughts on this demo and please contact us at 
+                    <a href="mailto:letstalk@pragnakalp.com" target="_blank">letstalk@pragnakalp.com.</a> 
+                    <p style='text-align: center;'>Developed by: <a href="https://www.pragnakalp.com" target="_blank">Pragnakalp Techlabs</a></p>"""
+    
+
 )
 demo.launch(enable_queue = False)