Update app.py

app.py

@@ -100,7 +100,7 @@ def generate_ocr(Method,img):
             text_output = ocr_with_keras(img)
         if Method == 'PaddleOCR':
             text_output = ocr_with_paddle(img)
-        save_details(Method,text_output,img)
+        # save_details(Method,text_output,img)
 
         return text_output
         # hostname = socket.gethostname()
@@ -114,33 +114,33 @@ def generate_ocr(Method,img):
 """
 Save generated details
 """
-def save_details(Method,text_output,img):
-    method = []
-    img_path = []
-    text = []
-    picture_path = "image.jpg"    
+# def save_details(Method,text_output,img):
+#     method = []
+#     img_path = []
+#     text = []
+#     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('images/'+ modified_picture_path, img)
-        input_img = 'images/'+ 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")
+#     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('images/'+ modified_picture_path, img)
+#         input_img = 'images/'+ 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")
 
-        hostname = get_device_ip_address()
-    return send_user_email(input_img,hostname,text_output,Method)
+#         hostname = get_device_ip_address()
+#     return send_user_email(input_img,hostname,text_output,Method)
     # return hostname
 
 """
@@ -162,7 +162,7 @@ demo = gr.Interface(
 )
 # .gradio-container.gap-2 {gap: 10rem;row-gap: 10rem;column-gap: 10rem;}
 # .gradio-container {background-color: lightgray}
-demo.launch()
+demo.launch(enable_queue = False)
 
 # with gr.Blocks(css=".gradio-container {background-color: red}") as demo:
 #     input = [gr.Image(shape=(224, 224)), gr.Radio(["EasyOCR", "KerasOCR", "PaddleOCR"],text_color="blue")]