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| from src.llamaindex_palm import LlamaIndexPaLM, LlamaIndexPaLMText | |
| import gradio as gr | |
| from typing import List | |
| import time | |
| import logging | |
| # import dotenv | |
| # dotenv.load_dotenv(".env") | |
| # Llama-Index LLM | |
| llm_backend = LlamaIndexPaLMText(model_kwargs={'temperature': 0.8}) | |
| llm = LlamaIndexPaLM(model=llm_backend) | |
| llm.get_index_from_pinecone() | |
| # Gradio | |
| chat_history = [] | |
| def clear_chat() -> None: | |
| global chat_history | |
| chat_history = [] | |
| return None | |
| def get_chat_history(chat_history: List[str]) -> str: | |
| ind = 0 | |
| formatted_chat_history = "" | |
| for message in chat_history: | |
| formatted_chat_history += f"User: \n{message}\n" if ind % 2 == 0 else f"Bot: \n{message}\n" | |
| ind += 1 | |
| return formatted_chat_history | |
| def generate_text(prompt: str, llamaindex_llm: LlamaIndexPaLM): | |
| global chat_history | |
| logger.info("Generating Message...") | |
| logger.info(f"User Message:\n{prompt}\n") | |
| result = llamaindex_llm.generate_text(prompt, chat_history) | |
| chat_history.append(prompt) | |
| chat_history.append(result) | |
| logger.info(f"Replied Message:\n{result}\n") | |
| return result | |
| if __name__ == "__main__": | |
| logging.basicConfig(format='%(asctime)s %(message)s', datefmt='%Y-%m-%d %I:%M:%S %p', level=logging.INFO) | |
| logger = logging.getLogger('app') | |
| try: | |
| with gr.Blocks(css=".input textarea {font-size: 16px !important}") as app: | |
| chatbot = gr.Chatbot( | |
| bubble_full_width=False, | |
| container=True, | |
| show_share_button=False, | |
| avatar_images=[None, './asset/akag-g-only.png'] | |
| ) | |
| msg = gr.Textbox( | |
| show_label=False, | |
| label="Type your message...", | |
| placeholder="Hi Gerard, can you introduce yourself?", | |
| container=False, | |
| elem_classes="input" | |
| ) | |
| with gr.Row(): | |
| clear = gr.Button("Clear", scale=1) | |
| send = gr.Button( | |
| value="", | |
| variant="primary", | |
| icon="./asset/send-message.png", | |
| scale=1 | |
| ) | |
| def user(user_message, history): | |
| return "", history + [[user_message, None]] | |
| def bot(history): | |
| bot_message = generate_text(history[-1][0], llm) | |
| history[-1][1] = "" | |
| for character in bot_message: | |
| history[-1][1] += character | |
| time.sleep(0.01) | |
| yield history | |
| msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then( | |
| bot, chatbot, chatbot | |
| ) | |
| send.click(user, [msg, chatbot], [msg, chatbot], queue=False).then( | |
| bot, chatbot, chatbot | |
| ) | |
| clear.click(clear_chat, None, chatbot, queue=False) | |
| gr.HTML(""" | |
| <p><center><i>Disclaimer: This RAG app is for demostration only. LLM hallucination might occur.</i></center></p> | |
| <p><center>Hosted on 🤗 Spaces | Built with 🌴 Google PaLM & 🦙 LlamaIndex | Last updated on Oct 30, 2023</center></p> | |
| """) | |
| app.queue() | |
| app.launch() | |
| except Exception as e: | |
| logger.exception(e) |