app.py

import random
import gradio as gr
import openai
import torch
import os

def predict(message, history, api_key):
    openai.api_key = os.environ.get("api_key")
    openai.api_base = os.environ.get("api_base")
    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=0.7,
        max_tokens=5000,
        top_p=0.95,
        frequency_penalty=1,
        presence_penalty=1,
        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



    
    return response["choices"][0]["message"]["content"]

title = "🕊 Chat with Pigeon"

description = \
"""
💬 This space is powered by **Huggingface Hosting**.

🚀 This space runs **very fast** even on **CPU**.

🎠 You get totally unique and creative answers.

🌍 PigeonChat is available worldwide in over **160 languages**.

🔐 PigeonChat is powered by **open source** and is completely **private**.

👥️️ This demo is by **Evgeniy Hristoforu** (**OpenSkyML**).

<h2></h2>
"""


examples=[
            'Hello there! How are you doing?',
            'Can you explain briefly to me what is the Python programming language?',
            'Explain the plot of Cinderella in a sentence.',
            'How many hours does it take a man to eat a Helicopter?',
            "Write a 100-word article on 'Benefits of Open-Source in AI research'",
        ]

chatbot = gr.Chatbot(label="PigeonChat",avatar_images=('user.png', 'bot.png'), min_width=260, show_share_button=False, show_copy_button=True, bubble_full_width = False)


gr.ChatInterface(engine, chatbot = chatbot, title=title, description=description, examples=examples).launch(share=False, debug=False, show_error=False, show_api=False)