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]

example_questions = [
    "What is University of Southampton?",
    "Is University of Southampton Good?",
    "What is sports facility at southampton university?",
    "How big is the Southampton campus?",
    "What are the rankings of southampton university?",
    "What research facilities does the Southampton university offer ?",
]

demo = gr.Interface(
    fn=main,
    inputs="text",
    outputs="text",
    examples=example_questions,  
)

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