examples added

app.py

@@ -4,6 +4,9 @@ import numpy as np
 import cv2
 import gradio as gr
 
+def show_example(path):
+    return cv2.cvtColor(cv2.imread(path), cv2.COLOR_BGR2RGB)
+
 def get_response(input_img):
 
     '''
@@ -53,11 +56,14 @@ def get_response(input_img):
 
 
 if __name__ == "__main__":
+    
     text_detector=Text_Detection('models/text_detector.xml')
     ocr=OCR('models/ocr.xml')
     iface = gr.Interface(
+        cache_examples=False,
         fn=get_response,
         inputs=gr.Image(type="numpy"),  # Accepts image input
+        examples=[[show_example('elron.png')]],
         outputs=[gr.Textbox(),gr.Image(type="numpy")],
         title="Latin Text Detection & Recognition",
         description="Upload images for fast & accurate English(Latin) OCR. Works best with image format of invoice, documents"