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app.py
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import gradio as gr
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import fitz # PyMuPDF
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from transformers import pipeline
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# Load the Hugging Face question-answering pipeline
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qa_pipeline = pipeline("question-answering")
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def answer_question(pdf_file, question):
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# Read the PDF file
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doc = fitz.open(stream=pdf_file.read(), filetype="pdf")
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text = ""
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for page in doc:
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text += page.get_text()
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# Use the QA model to answer the question
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answer = qa_pipeline(question=question, context=text)
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return answer['answer']
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# Define the Gradio interface
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interface = gr.Interface(
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fn=answer_question,
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inputs=[gr.inputs.File(type="pdf"), gr.inputs.Textbox(lines=2, placeholder="Type your question here...")],
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outputs="text",
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title="PDF Question Answering",
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description="Upload a PDF document and ask a question based on its content."
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)
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interface.launch()
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