import gradio as gr from rag_pipeline import build_rag_chain from dotenv import load_dotenv load_dotenv() chain = None def upload_file(files): global chain if files is None: return "No file uploaded." if isinstance(files, str): paths = [files] else: paths = [f if isinstance(f, str) else f.name for f in files] if isinstance(files, list) else [files.name] full_chain, _ = build_rag_chain(paths) chain = full_chain return f"āœ… {len(paths)} document(s) loaded. Ask away!" def ask_question(message, history): if chain is None: return "Upload a document first." history_text = "" for h in history: if isinstance(h, (list, tuple)) and len(h) == 2: history_text += f"User: {h[0]}\nAssistant: {h[1]}\n" full_query = f"{history_text}Question: {message}" if history_text else message result = chain.invoke(full_query) answer = result["answer"] pages = sorted(set( d.metadata.get("page", 0) + 1 for d in result["source_documents"] )) return f"{answer}\n\nšŸ“„ Source pages: {pages}" with gr.Blocks() as full_app: gr.Markdown("# šŸ“„ RAG Document Q&A") file_input = gr.File(label="Upload PDF(s)", file_types=[".pdf"], file_count="multiple") status = gr.Textbox(label="Status", interactive=False) file_input.upload(upload_file, inputs=file_input, outputs=status) gr.Markdown("---") question = gr.Textbox(label="Ask a question") answer = gr.Textbox(label="Answer", interactive=False, lines=10) btn = gr.Button("Ask") btn.click(fn=ask_question, inputs=[question, answer], outputs=answer) full_app.launch()