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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
css = """
label[data-testid="block-label"] {
display: none !important;
}
footer {
display: none !important;
}
"""
js_func = """
function refresh() {
const url = new URL(window.location);
if (url.searchParams.get('__theme') !== 'dark') {
url.searchParams.set('__theme', 'dark');
window.location.href = url.href;
}
}
"""
with gr.Blocks(css=css, js = js_func, theme="monochrome") as demo:
chatbot = gr.ChatInterface(chat_response,title="ProjSite")
demo.launch(share=True)
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