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from transformers import BlipForQuestionAnswering, AutoProcessor | |
import gradio as gr | |
from PIL import Image | |
import io | |
model = BlipForQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base") | |
processor = AutoProcessor.from_pretrained("Salesforce/blip-vqa-base") | |
def answer_question(image, question): | |
# Open the image file-like object | |
image = Image.open(io.BytesIO(image.read())) | |
inputs = processor(image, question, return_tensors="pt") | |
out = model.generate(**inputs) | |
answer = processor.decode(out[0], skip_special_tokens=True) | |
return answer | |
# Create Gradio interface | |
image_input = gr.Image(label="Upload Image") | |
question_input = gr.Textbox(label="Ask a Question", lines=4) | |
output = gr.Textbox(label="Answer") | |
interface = gr.Interface( | |
fn=answer_question, | |
inputs=[image_input, question_input], | |
outputs=output, | |
title="Multimodal Question Answering", | |
description="BlipForQuestionAnswering for Question Answering", | |
) | |
interface.launch() |