updated

app.py

@@ -1,4 +1,3 @@
-# app.py
 import gradio as gr
 from transformers import pipeline
 import torch
@@ -19,17 +18,14 @@ def generate_caption(image):
     except Exception as e:
         return f"Error generating caption: {str(e)}"
 
-# Create Gradio interface
+# Create Gradio interface without examples
 interface = gr.Interface(
     fn=generate_caption,
     inputs=gr.Image(type="pil"),
     outputs=gr.Textbox(label="Generated Caption"),
     title="Image Caption Generator",
     description="Upload an image and get an AI-generated caption!",
-    examples=[
-        ["https://raw.githubusercontent.com/gradio-app/gradio/main/demo/kitchen.jpg"],
-    ],
-    cache_examples=True
+    article="Built using the BLIP image captioning model from Salesforce."
 )
 
 # Launch the app