# import gradio as gr
# from transformers import AutoProcessor
# from transformers import BlipForQuestionAnswering

# model = BlipForQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base")
# processor = AutoProcessor.from_pretrained("Salesforce/blip-vqa-base")

# def process_image(image, question: str):
#     inputs = processor(image, question, return_tensors="pt")
#     output = model.generate(**inputs)
#     answer = processor.decode(output[0], skip_special_tokens=True)

#     return answer

# multimodal_visual_qa_interface = gr.Interface(
#     fn=process_image,
#     inputs=[
#         gr.Image(label="Input Image", type="pil"),
#         gr.Textbox(label="Enter question to prompt the image")
#     ],
#     outputs=gr.Textbox(label="Answer"),
#     title="Multimodal Visual QA Application",
#     description="This app can help you ask questions about an image"
# )