Update app.py

app.py

@@ -132,17 +132,17 @@ def main():
             st.success(text)
         elif uploaded_photo.type != "application/image":
             img = Image.open(uploaded_photo)
-            img = img.save("img.png")
-            img = cv2.imread("img.png")
+            img = img.save("img.jpg")
+            imge = cv2.imread("img.jpg")
             # get co-ordinates to crop the image
-            image, lc = line_cor.mark_region(img)
+            imag, lc = line_cor.mark_region(imge)
             c = lc[1]
             # cropping image img = image[y0:y1, x0:x1]
-            img = image[c[0][1]:c[1][1], c[0][0]:c[1][0]]
-            plt.figure(figsize=(10,10))
-            plt.imshow(img)
+            imgg = imge[c[0][1]:c[1][1], c[0][0]:c[1][0]]
+            #plt.figure(figsize=(10,10))
+           # plt.imshow(img)
             # convert the image to black and white for better OCR
-            ret,thresh1 = cv2.threshold(img,120,255,cv2.THRESH_BINARY)
+            ret,thresh1 = cv2.threshold(imgg,120,255,cv2.THRESH_BINARY)
             # pytesseract image to string to get results
             text = str(pytesseract.image_to_string(thresh1, config='--psm 6',lang="ben")) if st.checkbox("Bangla") else str(pytesseract.image_to_string(thresh1, config='--psm 6'))
             #text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark to see Bangla Image's Text") else pytesseract.image_to_string(img)