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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)
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