remove examples add read content

app.py

@@ -26,6 +26,14 @@ transform = transforms.Compose([
       transforms.Resize((512, 512)),
 ])
 
+def read_content(file_path: str) -> str:
+    """read the content of target file
+    """
+    with open(file_path, 'r', encoding='utf-8') as f:
+        content = f.read()
+
+    return content
+
 def predict(dict, prompt=""):
     with autocast("cuda"):
         init_image = dict["image"].convert("RGB").resize((512, 512))
@@ -33,7 +41,6 @@ def predict(dict, prompt=""):
         output = pipe(prompt = prompt, image=init_image, mask_image=mask, strength=0.8,num_inference_steps=20)
     return output.images[0]
 
-examples = [[dict(image="init_image.png", mask="mask_image.png"), "A panda sitting on a bench"]]
 
 css = '''
 .container {max-width: 1150px;margin: auto;padding-top: 1.5rem}
@@ -64,8 +71,7 @@ with image_blocks as demo:
                     rounded=(False, True, True, False),
                     full_width=False,
                 )
-            ex = gr.Examples(fn=predict, inputs=[image, prompt], outputs=image, cache_examples=False)
-            ex.dataset.headers = [""]
+
             btn.click(fn=predict, inputs=[image, prompt], outputs=image)