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import gradio as gr
from langchain.agents.openai_assistant import OpenAIAssistantRunnable
from openai import OpenAI
import os
#sk
apikey = os.getenv('openAI') #key from client
agentkey = os.getenv('asstID')
os.environ["OPENAI_API_KEY"] = apikey
interpreter_assistant = OpenAIAssistantRunnable(assistant_id= agentkey) #, client = key
# output = interpreter_assistant.invoke({"content": "Hello?"})
# output[0].content[0].text.value
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)
demo.launch(share=True) |