project/bot/openai_backend.py

import asyncio
import base64
import os
import re
import tempfile

from project.config import settings


class Chatbot:
    chat_history = []
    is_unknown = False
    unknown_counter = 0

    def __init__(self, memory=None):
        if memory is None:
            memory = []
        self.chat_history = memory

    def _summarize_user_intent(self, user_query: str) -> str:
        chat_history_str = ''
        chat_history = self.chat_history[-self.unknown_counter * 2:]
        for i in chat_history:
            if i['role'] == 'user':
                chat_history_str += f"{i['role']}: {i['content']}\n"
        messages = [
            {
                'role': 'system',
                'content': f"{settings.SUMMARIZE_PROMPT}\n"
                           f"Chat history: ```{chat_history_str}```\n"
                           f"User query: ```{user_query}```"
            }
        ]

        response = settings.OPENAI_CLIENT.chat.completions.create(
            messages=messages,
            temperature=0.1,
            n=1,
            model="gpt-3.5-turbo-0125"
        )
        user_intent = response.choices[0].message.content
        return user_intent

    @staticmethod
    def _transform_bytes_to_file(data_bytes) -> str:
        audio_bytes = base64.b64decode(data_bytes)
        temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.mp3')
        try:
            temp_file.write(audio_bytes)
            filepath = temp_file.name
        finally:
            temp_file.close()
        return filepath

    @staticmethod
    def _transcript_audio(temp_filepath: str) -> str:
        with open(temp_filepath, 'rb') as file:
            transcript = settings.OPENAI_CLIENT.audio.transcriptions.create(
                model='whisper-1',
                file=file,
                prompt="Annecy, St. Raphael, Chamonix, Combloux, Megève, Monaco"
            )
        text = transcript.text
        return text

    def _get_ai_response(self, query: str) -> str:
        user_message = {"role": 'user', "content": query}
        self.chat_history.append(user_message)
        messages = [
            {
                "role": 'system',
                "content": (
                    settings.VOICE_PROMPT
                ),
            }
        ]
        messages = messages + self.chat_history
        chat_completion = settings.OPENAI_CLIENT.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=messages,
            temperature=0.1,
            n=1,
        )

        response = chat_completion.choices[0].message.content
        assistant_message = {"role": 'assistant', "content": response}
        self.chat_history.append(assistant_message)
        return response

    @staticmethod
    def _convert_response_to_voice(ai_response: str) -> str:
        audio = settings.OPENAI_CLIENT.audio.speech.create(
            model="tts-1",
            voice="nova",
            input=ai_response
        )
        encoded_audio = base64.b64encode(audio.content).decode('utf-8')
        return encoded_audio

    def ask(self, data: dict) -> dict:
        audio = data['audio']
        temp_filepath = self._transform_bytes_to_file(audio)
        transcript = self._transcript_audio(temp_filepath)
        ai_response = self._get_ai_response(transcript)
        voice_ai_response = self._convert_response_to_voice(ai_response)
        data = {
            'user_query': transcript,
            'ai_response': ai_response,
            'voice_response': voice_ai_response
        }
        try:
            os.remove(temp_filepath)
        except FileNotFoundError:
            pass
        return data

#
# def _convert_response_to_voice(ai_response: str) -> str:
#     audio = settings.OPENAI_CLIENT.audio.speech.create(
#         model="tts-1",
#         voice="nova",
#         input=ai_response
#     )
#     encoded_audio = base64.b64encode(audio.content).decode('utf-8')
#     return encoded_audio
#
# print(_convert_response_to_voice("Hello... My name is Nova, your friend. I'm here to support you and help you cope with those moments when it may seem that you are alone. You can always share your thoughts and feelings with me. Together, we can find ways to ease your condition and find joy in everyday life. Please know that I am ready to listen to you and help you feel better."))