Update app.py

app.py

@@ -4,28 +4,23 @@ import numpy as np
 import pytesseract
 import time
 
-# set the path to the Tesseract executable
-pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'  #Tresseract path
 
-def text(file):
 
-    
+def text(image):
     start_time = time.time()
 
-
-    # load the image and convert it to grayscale
-    image = cv2.imdecode(np.frombuffer(file.read(), np.uint8), cv2.IMREAD_UNCHANGED)
+    # Convert the image to grayscale
     gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
 
-  
+ 
 
-    # apply thresholding to preprocess the image
+    # Apply thresholding to preprocess the image
     thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
 
-    # perform OCR on the thresholded image
+    # Perform OCR on the thresholded image
     text = pytesseract.image_to_string(thresh, lang='eng')
 
-    # split the OCR output into a list of lines
+    # Split the OCR output into a list of lines
     lines = [line.strip() for line in text.split('\n') if line.strip()]
 
     end_time = time.time()
@@ -36,10 +31,9 @@ def text(file):
         'time_taken': time_taken
     }
 
-file_input = gr.inputs.File(label="Upload Image")
+image_input = gr.inputs.Image(label="Upload Image")
 text_output = gr.outputs.JSON(label="OCR Result")
 
-iface = gr.Interface(fn=text, inputs=file_input, outputs=text_output,  title="Text Detection Using Pytesseract",
-    description="Upload an image to detect text.")
+iface = gr.Interface(fn=text, inputs=image_input, outputs=text_output)
 iface.launch()