| from langchain.agents.openai_assistant import OpenAIAssistantRunnable | |
| import os | |
| asst_id = os.getenv('assistant_key') | |
| #key = os.getenv('open_ai') | |
| interpreter_assistant = OpenAIAssistantRunnable(assistant_id=asst_id) | |
| import gradio as gr | |
| def chat_response(message, history): | |
| output = interpreter_assistant.invoke({"content": message}) | |
| response = output[0].content[0].text.value | |
| return response | |
| with gr.Blocks() as demo: | |
| chatbot = gr.ChatInterface(chat_response,title="ProjSite") | |
| demo.launch(share=True) | |