Add example image.

app.py

@@ -88,8 +88,7 @@ def visualize(image_path, boxes, txts, scores,
     return image_save
 
 
-def inference(img, box_thresh, unclip_ratio, text_score):
-    img_path = img.name
+def inference(img_path, box_thresh, unclip_ratio, text_score):
     img = cv2.imread(img_path)
     ocr_result, _ = rapid_ocr(img, box_thresh=box_thresh,
                               unclip_ratio=unclip_ratio,
@@ -105,13 +104,14 @@ title = 'RapidOCR Demo (捷智OCR)'
 description = 'Gradio demo for RapidOCR. Github Repo: https://github.com/RapidAI/RapidOCR'
 article = "<p style='text-align: center'> Completely open source, free and support offline deployment of multi-platform and multi-language OCR SDK <a href='https://github.com/RapidAI/RapidOCR'>Github Repo</a></p>"
 css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
+examples = [['images/1.jpg']]
 
 rapid_ocr = RapidOCR()
 
 gr.Interface(
     inference,
     inputs=[
-        gr.inputs.Image(type='file', label='Input'),
+        gr.inputs.Image(type='filepath', label='Input'),
         gr.Slider(minimum=0, maximum=1.0, value=0.5,
                   label='box_thresh', step=0.1),
         gr.Slider(minimum=1.5, maximum=2.0, value=1.6,
@@ -120,11 +120,12 @@ gr.Interface(
                   label='text_score', step=0.1),
     ],
     outputs=[
-        gr.outputs.Image(type='file', label='Output_image'),
+        gr.outputs.Image(type='filepath', label='Output_image'),
         gr.outputs.Textbox(type='text', label='Output_text')
     ],
     title=title,
     description=description,
+    examples=examples,
     article=article,
     css=css,
     allow_flagging='never',