Create app.py

app.py

@@ -0,0 +1,17 @@
+from transformers import pipeline
+import gradio as gr
+from PIL import Image
+pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
+def generate_caption(image):
+    # Generate a caption for the image
+    captions = pipe(image)
+    return captions[0]['generated_text']
+demo = gr.Interface(
+    fn=generate_caption,
+    inputs=gr.Image(type="pil", label="Upload an Image"),
+    outputs=gr.Textbox(label="Generated Caption"),
+    title="Image Caption Generator",
+    description="Upload an image to generate a caption using the BLIP model."
+)
+if __name__ == "__main__":
+    demo.launch(share=True)