import os from typing import Optional, Tuple import gradio as gr from langchain.chains import ConversationChain from langchain.llms import OpenAI def load_chain(): """Logic for loading the chain you want to use should go here.""" llm = OpenAI(temperature=0) chain = ConversationChain(llm=llm) return chain 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 = load_chain() os.environ["OPENAI_API_KEY"] = "" return chain def chat( inp: str, history: Optional[Tuple[str, str]], chain: Optional[ConversationChain] ): """Execute the chat functionality.""" 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 # Run chain and append input. output = chain.run(input=inp) history.append((inp, output)) return history, history block = gr.Blocks(css=".gradio-container {background-color: lightgray}") with block: with gr.Row(): gr.Markdown("

LangChain Demo

") 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="What's the answer to life, the universe, and everything?", lines=1, ) submit = gr.Button(value="Send", variant="secondary").style(full_width=False) gr.Examples( examples=[ "Hi! How's it going?", "What should I do tonight?", "Whats 2 + 2?", ], 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=[message, state, agent_state], outputs=[chatbot, state]) message.submit(chat, inputs=[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)