app.py

import gradio as gr
from openai import OpenAI

api_key = "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"
client = OpenAI(api_key=api_key, base_url="https://api.perplexity.ai")

def predict(message, history):
    history_openai_format = []
    #history_openai_format.append({"role": "system", "content": "Answer the questions in japanese only"})
    
    #for human, assistant in history:
    #    history_openai_format.append({"role": "user", "content": human })
    #    history_openai_format.append({"role": "assistant", "content":assistant})
    history_openai_format.append({"role": "user", "content": message})
  
    response = client.chat.completions.create(model='sonar-small-chat',
    messages= history_openai_format,
    temperature=1.0,
    stream=True)

    partial_message = ""
    for chunk in response:
        if chunk.choices[0].delta.content is not None:
            partial_message = partial_message + chunk.choices[0].delta.content
            yield partial_message
            
gr.ChatInterface(predict).launch()