| import gradio as gr | |
| import pdfplumber | |
| from transformers import pipeline | |
| qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad") | |
| def extract_text_from_pdf(file): | |
| with pdfplumber.open(file.name) as pdf: | |
| return "\n".join(page.extract_text() or '' for page in pdf.pages) | |
| def answer_question(file, question): | |
| if file.name.endswith('.pdf'): | |
| context = extract_text_from_pdf(file) | |
| elif file.name.endswith('.txt'): | |
| context = file.read().decode("utf-8") | |
| else: | |
| return "Unsupported file format. Please upload a PDF or .txt file." | |
| if not question.strip(): | |
| return "Please enter a question." | |
| result = qa_pipeline(question=question, context=context) | |
| return result["answer"] | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## 📄 Document Question Answering with DistilBERT") | |
| with gr.Row(): | |
| file_input = gr.File(label="Upload a PDF or TXT file") | |
| question_input = gr.Textbox(label="Ask a question", placeholder="e.g. What is the main topic?") | |
| answer_output = gr.Textbox(label="Answer", placeholder="The answer will appear here.") | |
| submit_btn = gr.Button("Get Answer") | |
| submit_btn.click(fn=answer_question, inputs=[file_input, question_input], outputs=answer_output) | |
| demo.launch() |