Update app.py

app.py

@@ -37,19 +37,6 @@ if file is not None:
     # create a dataframe which shows the predicted text and prediction confidence
     df = pd.DataFrame.from_dict(textdic_easyocr).T
     st.table(df)
-
-    # Plot image with text box and predicted text with cv2
-    image = cv2.imread(file)
-    for res in result:
-        top_left = tuple(res[0][0]) # top left coordinates as tuple
-        bottom_right = tuple(res[0][2]) # bottom right coordinates as tuple
-        # draw rectangle on image, 2 is thickness
-        cv2.rectangle(image, top_left, bottom_right, (0, 255, 0), 2)
-        # write recognized text on image (top_left) minus 10 pixel on y
-        cv2.putText(image, res[1], (top_left[0], top_left[1]-10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
-    fig1, ax1 = plt.subplots()
-    plt.imshow(image)
-    plt.show()
     
 else:
     st.write("Upload your image")