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| 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"β {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\nπ Source pages: {pages}" | |
| with gr.Blocks() as full_app: | |
| gr.Markdown("# π 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() |