import threading import gradio as gr from qa_engine import logger, Config, QAEngine from discord_bot import DiscordClient config = Config() qa_engine = QAEngine( llm_model_id=config.question_answering_model_id, embedding_model_id=config.embedding_model_id, index_repo_id=config.index_repo_id, prompt_template=config.prompt_template, use_docs_for_context=config.use_docs_for_context, add_sources_to_response=config.add_sources_to_response, use_messages_for_context=config.use_messages_in_context, debug=config.debug ) def gradio_interface(): with gr.Blocks() as demo: chatbot = gr.Chatbot() msg = gr.Textbox() clear = gr.ClearButton([msg, chatbot]) def respond(message, chat_history): context = ''.join(f'User: {msg} \nBot:{bot_msg}\n' for msg, bot_msg in chat_history) logger.info(f'Context: {context}') response = qa_engine.get_response(message, context) bot_message = response.get_answer() + response.get_sources_as_text() + '\n' chat_history.append((message, bot_message)) return '', chat_history msg.submit(respond, [msg, chatbot], [msg, chatbot]) demo.launch(share=True) def discord_bot_inference_thread(): client = DiscordClient( qa_engine=qa_engine, channel_ids=config.discord_channel_ids, num_last_messages=config.num_last_messages, use_names_in_context=config.use_names_in_context, enable_commands=config.enable_commands, debug=config.debug ) client.run(config.discord_token) def discord_bot(): thread = threading.Thread(target=discord_bot_inference_thread) thread.start() with gr.Blocks() as demo: gr.Markdown(f'Discord bot is running.') demo.queue(concurrency_count=100) demo.queue(max_size=100) demo.launch() if __name__ == '__main__': if config.app_mode == 'gradio': gradio_interface() elif config.app_mode == 'discord': discord_bot() else: raise ValueError( f'Invalid app mode: {config.app_mode}, ', f'set APP_MODE to "gradio" or "discord"' )