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import os
import openai
import gradio as gr
openai.api_key = os.environ['APIKEY']
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 = openai.ChatCompletion.create(
model='gpt-3.5-turbo',
messages= history_openai_format,
temperature=1.0,
stream=True
)
partial_message = ""
for chunk in response:
if len(chunk['choices'][0]['delta']) != 0:
partial_message = partial_message + chunk['choices'][0]['delta']['content']
yield partial_message
gr.ChatInterface(predict,
title="Hi! I'm a Chatbot!",
description="Ask me anything the Information you want!",
theme="soft",
examples=["Who is Sreejith?", "What is Good Diet?", "What is Protein?"],
cache_examples=True
).launch(share=True) |