Update app.py

app.py

@@ -10,21 +10,22 @@ def launch(input):
     out = pipe(input)  # Get the model output
     return out[0]['generated_text']  # Return the generated text
 
-# Define examples (sample images to use as input)
+# Define examples with images and expected outputs
 examples = [
-    ["example1.jpg","a dog swimming in the ocean"],  # Replace with the path to your example images
-    ["example2.png","a fairy fairy sitting on a tree branch"]
+    ["example1.jpg", "a dog swimming in the ocean"],  # Example 1
+    ["example2.png", "a fairy sitting on a tree branch"]  # Example 2
 ]
 
 # Create the Gradio interface
 iface = gr.Interface(
-    launch,
+    fn=launch,
     inputs=gr.Image(type='pil'),  # Input is an image
     outputs="text",  # Output is a text description
     title="Image Captioning with BLIP",
     description="This application uses the BLIP image-captioning model to generate descriptions for the images you upload. "
-                "Simply upload an image, and the model will generate a caption describing the content of the image.",
-    examples=examples  # Add predefined examples
+                "Simply upload an image, and the model will generate a caption describing the content of the image. "
+                "You can also try some pre-loaded examples below.",
+    examples=[example[:1] for example in examples]  # Only include image paths for Gradio
 )
 
 # Launch the interface