| import gradio as gr |
| from inference import predict |
|
|
| def vqa_interface(image, question): |
| try: |
| if image is None or question.strip() == "": |
| return "Please upload an image and enter a question." |
|
|
| answer = predict(image, question) |
| return answer |
|
|
| except Exception as e: |
| print("ERROR:", str(e)) |
| return f"Error: {str(e)}" |
|
|
|
|
| iface = gr.Interface( |
| fn=vqa_interface, |
| inputs=[ |
| gr.Image(type="filepath", label="Upload Image"), |
| gr.Textbox( |
| label="Ask a Question", |
| placeholder="e.g. What is in the image?" |
| ) |
| ], |
| outputs=gr.Textbox(label="Answer"), |
| title="🧠 Smart Visual Question Answering System", |
| description="Upload any image and ask anything (works for medical + general images)", |
| theme="soft" |
| ) |
|
|
| if __name__ == "__main__": |
| iface.launch() |
