gpt-3.5-turbo / app.py
kumshing-wilson-huang
OK
7446464
from openai import OpenAI
import gradio as gr
import os
client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
def predict(message, history):
history_openai_format = []
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='gpt-3.5-turbo',
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(share=True)