Upload folder using huggingface_hub

deploy.py

@@ -16,11 +16,11 @@ def ocr(image_input, webcam_input, card_type_input):
     print("Webcam Image : ", type(webcam_input))
 
     if image_input is not None and image_input.any():
-        print("In input image")
+        print("In input image")        
         cv2.imwrite(file_path, image_input)
     else:
         print("In webcam")
-        cv2.imwrite(file_path, webcam_input)
+        cv2.imwrite(file_path, cv2.flip(webcam_input, 1))
     
     # print(type(input_img))
     ocr = PaddleOCR(use_angle_cls=True, lang='en') # need to run only once to download and load model into memory
@@ -29,7 +29,7 @@ def ocr(image_input, webcam_input, card_type_input):
     
     # with open(file_path, "wb+") as file_object:
     #     file_object.write(input_img.file.read())
-
+    
     dictionary = custom_ocr(file_path, card_type_input)
 
     if '' in list(dictionary.values()):
@@ -68,7 +68,7 @@ def ocr(image_input, webcam_input, card_type_input):
     print("Updated Dict ",dictionary)
     response = {"Status" : 200, "OCR" : dictionary}  
     return response
-
+ 
 # Define the input objects
 image_input = gr.inputs.Image(label="Upload Image")
 webcam_input = gr.inputs.Image(label="Webcam", source="webcam")