refactor
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@ -1,13 +1,12 @@
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import json
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import logging
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import openai
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import sys
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import tempfile
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from threading import Lock
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import openai
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from flask import Flask, request
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from flask_socketio import SocketIO, emit, join_room, leave_room, \
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rooms
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from threading import Lock
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from jarvis.utils import chat_utils, whisper_utils, chatgpt_utils, faster_whisper_utils
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@ -45,10 +44,9 @@ def process_message(message):
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# intent_manager.recognise(message['data'], message['uuid'])
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if message['data'] != "":
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response = chatgpt_utils.chatgpt_recognise(message['data'], message['uuid'])
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text_response = chatgpt_utils.get_answer_from_response(response)
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# response = "Tokens are expensive ya know?"
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# text_response = "Tokens are expensive ya know?"
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chat_utils.send_jarvis_message_to_room(text_response, message['uuid'])
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chat_utils.send_jarvis_message_to_room(response['response'], message['uuid'])
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@socketio.event
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@ -71,16 +69,27 @@ def connect():
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@socketio.event
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def clear_chat(message):
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message = json.loads(message)
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def clear_chat(uuid):
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"""
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Clear chat history for a specific room.
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:param uuid: uuid
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:return:
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"""
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# uuid = json.loads(uuid)
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emit('clear_chat', {}, to=message['uuid'])
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chatgpt_utils.clear_chat(message['uuid'])
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emit('clear_chat', {}, to=uuid)
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chatgpt_utils.clear_chat(uuid)
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# .WAV (i.e.) FILE REQUEST
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@app.route("/get_text_from_audio", methods=['POST'])
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def get_text_from_audio():
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"""
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Transcribe audio file using whisper.
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:return: transcription text
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"""
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logging.info("New STT request from " + request.remote_addr)
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audio_temp_file = tempfile.NamedTemporaryFile(prefix='jarvis-audio_', suffix='_client')
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3
start.py
3
start.py
@ -3,11 +3,14 @@ import logging
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import lingua_franca
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import jarvis.api
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from jarvis.db import db_utils
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from jarvis.utils import faster_whisper_utils
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if __name__ == '__main__':
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logging.getLogger().setLevel(logging.INFO)
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db_utils.create_database()
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# Load lingua franca in the memory
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lingua_franca.load_language(lang="fr")
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