import os from typing import Optional, Tuple from threading import Lock import gradio as gr from query_model import get_model import openai def set_openai_api_key(api_key: str): """Set the api key and return chain. If no api_key, then None is returned. """ if api_key: os.environ["OPENAI_API_KEY"] = api_key chain = get_model() return chain class ChatWrapper: def __init__(self): self.lock = Lock() def __call__( self, api_key: str, inp: str, history: Optional[Tuple[str, str]], chain ): """Execute the chat functionality.""" self.lock.acquire() try: history = history or [] # If chain is None, that is because no API key was provided. if chain is None: history.append((inp, "Please paste your encrypted key to use")) return history, history # Set OpenAI key import openai openai.api_key = api_key # Run chain and append input. output = chain({"question": inp})["answer"] history.append((inp, output)) except Exception as e: raise e finally: self.lock.release() return history, history chat = ChatWrapper() block = gr.Blocks(css=".gradio-container {font-weight: bold; \ background-image: url('https://png.pngtree.com/png-vector/20230728/ourmid/pngtree-aster-clipart-purple-chrysanthemum-drawing-cartoon-vector-png-image_6798181.png'); background-size: 20%; \ background-color: pink} footer {visibility: hidden} #ex {background-color:white; padding: 5px;}") with block: with gr.Row(): gr.Markdown("