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from openai import OpenAI
import gradio as gr
import os
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
# Access the API key using the variable name defined in the .env file
api_key = os.getenv("OPENAI_API_KEY")
client = OpenAI(api_key=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-4-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) |