| import gradio as gr | |
| from rag_pipeline import RAGPipeline | |
| from utils import process_documents | |
| import time | |
| rag = RAGPipeline() | |
| def log_message(msg, logs): | |
| logs = logs + msg + "\n" | |
| return logs | |
| def upload_and_index(files, logs): | |
| logs = log_message("[RAG] بدء معالجة الملفات...", logs) | |
| all_chunks = [] | |
| for file in files: | |
| logs = log_message(f"[RAG] معالجة الملف: {file.name}", logs) | |
| chunks = process_documents(file.name) | |
| all_chunks.extend(chunks) | |
| logs = log_message(f"[RAG] تم استخراج {len(chunks)} مقطع من {file.name}", logs) | |
| logs = log_message(f"[RAG] بناء الفهرس لـ {len(all_chunks)} مقطع...", logs) | |
| start = time.time() | |
| rag.build_index(all_chunks) | |
| duration = time.time() - start | |
| logs = log_message(f"[RAG] تم بناء الفهرس في {duration:.2f} ثانية.", logs) | |
| return logs, gr.update(visible=True), gr.update(visible=True) | |
| def answer_question(question, logs): | |
| logs = log_message(f"[RAG] استلام السؤال: {question}", logs) | |
| start = time.time() | |
| answer, sources = rag.answer(question) | |
| duration = time.time() - start | |
| logs = log_message(f"[RAG] تم الإجابة في {duration:.2f} ثانية.", logs) | |
| logs = log_message(f"[RAG] المصادر: {sources}", logs) | |
| return answer, logs | |
| with gr.Blocks() as demo: | |
| logs = gr.State("") | |
| gr.Markdown("# نظام استرجاع المعرفة (RAG)") | |
| with gr.Row(): | |
| files_input = gr.File(file_types=['.pdf', '.docx', '.txt'], file_count="multiple", label="رفع الملفات") | |
| upload_btn = gr.Button("رفع وبناء الفهرس") | |
| logs_output = gr.Textbox(label="سجل العمليات", lines=12, interactive=False, value="") | |
| question_input = gr.Textbox(label="اكتب سؤالك هنا", visible=False) | |
| ask_btn = gr.Button("إرسال السؤال", visible=False) | |
| answer_output = gr.Textbox(label="الإجابة", lines=5) | |
| upload_btn.click(upload_and_index, inputs=[files_input, logs], outputs=[logs_output, question_input, ask_btn]) | |
| ask_btn.click(answer_question, inputs=[question_input, logs], outputs=[answer_output, logs_output]) | |
| demo.launch() | |