import os from typing import Optional, Tuple import gradio as gr import pickle from query_data import get_chain from threading import Lock with open("vectorstore.pkl", "rb") as f: vectorstore = pickle.load(f) 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_chain(vectorstore) os.environ["OPENAI_API_KEY"] = "" 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 OpenAI 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, "chat_history": history})["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 {background-color: lightgray}") with block: with gr.Row(): gr.Markdown("

Chat-Your-Data (SMR4 publication)

") openai_api_key_textbox = gr.Textbox( placeholder="Paste your OpenAI API key (sk-...)", show_label=False, lines=1, type="password", ) chatbot = gr.Chatbot() with gr.Row(): message = gr.Textbox( label="What's your question?", placeholder="Ask questions about the HHMI Publication: Deceleration of the cell cycle underpins a switch from proliferative to terminal divisions in plant stomatal lineage.", lines=1, ) submit = gr.Button(value="Send", variant="secondary").style(full_width=False) gr.Examples( examples=[ "What is SMR4?", "What is ACD?", "What are the pink circles in some of the cells?", ], inputs=message, ) gr.HTML("Demo application of a LangChain chain.") gr.HTML( "
Powered by LangChain 🦜️🔗
" ) state = gr.State() agent_state = gr.State() submit.click(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state]) message.submit(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state]) openai_api_key_textbox.change( set_openai_api_key, inputs=[openai_api_key_textbox], outputs=[agent_state], ) block.launch(debug=True)