app.py

from gradio_client import Client
import gradio as gr

chat_client = Client("https://mosaicml-mpt-30b-chat.hf.space/", serialize = False)


retrieval = Client("https://slycat-southampton-similarity.hf.space/")

chatbot = [["", None]]
info="Information: \n"
q_prompt="\n ##Instruction: Please provide an appropriate response to the following in less than 3 lines: \n"  

    
def main(question):
    global chatbot
    information = retrieval.predict(question, api_name = "/predict")
    answer=chat_client.predict(
                    info +information+question, # str  in 'Type an input and press Enter' Textbox component
                chatbot,
                fn_index=1
    )
    chatbot = answer[1]
    return answer[1][0][1]


demo = gr.Interface(main,"text","text")

if __name__ == "__main__":
    demo.launch()