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pyside04.py
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pyside04.py
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import sys
import os
import openai
import pyttsx3
from PySide6.QtCore import Qt, QObject, QThread, Signal
from PySide6.QtGui import QPalette, QColor
from PySide6.QtWidgets import QApplication, QWidget, QVBoxLayout, QHBoxLayout, QLabel, QPushButton, QLineEdit
# import io
# from pydub import AudioSegment
# import whisper as w
# import queue
# import tempfile
# import threading
# import torch
# import numpy as np
import speech_recognition as sr
class SpeechRecognitionWorker(QObject):
recognized = Signal(str)
def __init__(self):
super().__init__()
self.r = sr.Recognizer()
self.r.energy_threshold = 300
self.r.pause_threshold = 0.8
self.r.dynamic_energy_threshold = False
with sr.Microphone(sample_rate=16000) as source:
self.source = source
def run(self):
while True:
audio = self.r.listen(self.source, timeout=None)
try:
question = self.r.recognize_google(audio, language="pl-PL")
self.recognized.emit(question)
except sr.UnknownValueError:
pass
class ChatGPT(QWidget):
def __init__(self):
super().__init__()
green = "#00aa00"
btnStylesheet = f"""
background-color: {green};
color: #ffffff;
padding: 5px;
border-radius: 5px;
"""
self.setWindowTitle("Speak GPT")
self.setStyleSheet(f"""
background-color: #000000;
color: {green};
""")
self.layout = QVBoxLayout()
self.question_layout = QHBoxLayout()
self.output_layout = QVBoxLayout()
self.input = QLineEdit()
self.input.setStyleSheet(f"""
border: 2px solid {green};
border-radius: 5px;
padding: 5px;
""")
self.input.setPlaceholderText("Napisz pytanie lub użyj dyktowania")
self.ask_button = QPushButton("Zapytaj ChatGPT")
self.ask_button.clicked.connect(self.generate_answer)
self.ask_button.setStyleSheet(btnStylesheet)
self.dictate_button = QPushButton("Dictate")
self.dictate_button.setStyleSheet(btnStylesheet)
self.dictate_button.clicked.connect(self.dictate_question)
self.question_layout.addWidget(self.input)
self.question_layout.addWidget(self.dictate_button)
self.question_layout.addWidget(self.ask_button)
self.layout.addLayout(self.question_layout)
self.output_label = QLabel("")
self.output_label.setWordWrap(True)
self.output_layout.addWidget(self.output_label)
self.layout.addLayout(self.output_layout)
self.setLayout(self.layout)
self.speech_recognition_worker = SpeechRecognitionWorker()
self.speech_recognition_worker_thread = QThread()
self.speech_recognition_worker.moveToThread(self.speech_recognition_worker_thread)
self.speech_recognition_worker.recognized.connect(self.on_recognized)
self.speech_recognition_worker_thread.started.connect(self.speech_recognition_worker.run)
self.speech_recognition_worker_thread.start()
def on_recognized(self, question):
self.input.setText(question)
self.generate_answer()
def dictate_question(self):
question = self.input.text()
if question:
self.generate_answer()
self.input.setText("Czekaj, trwa rozpoznawanie mowy...")
def generate_answer(self, question):
# question = self.input.text()
if not question:
return
# self.input.clear()
# self.output_label.setText("Czekaj, trwa generowanie odpowiedzi...")
answer = self.get_gpt_answer(question)
# print("answer: ", answer)
self.output_label.setText(self.output_label.getText() + answer)
# self.speak(answer)
def get_gpt_answer(self, question):
# openai.api_key = os.environ["OPENAI_API_KEY"]
# prompt = f"Q: {question}\nA:"
# completions = openai.ChatCompletion.create(
# model="gpt-3.5-turbo",
# messages=[
# {
# "role": "user"
# , "content": question
# }
# ]
# # max_tokens=1024,
# # n=1,
# # stop=None,
# # temperature=0.7,
# )
print("Q: ", question)
import os
import openai
api_key = os.getenv("OPENAI_API_KEY")
if api_key is None:
print("Nie udało się odczytać wartości zmiennej środowiskowej OPENAI_API_KEY.")
exit(1)
response = openai.Completion.create(
model="text-davinci-003",
prompt=question,
temperature=0.9,
max_tokens=1060,
top_p=0.3,
frequency_penalty=0.5,
presence_penalty=0.0
)
print("A: ", response.choices[0].text)
# print("message: ", completions.choices[0].message.content)
# message = completions.choices[0].message.content.strip()
return response.choices[0].text
def speak(self, text):
engine = pyttsx3.init()
voices = engine.getProperty("voices")
pl_voice = None
if __name__ == "__main__":
app = QApplication(sys.argv)
app.setApplicationName("ChatGPT")
app.setPalette(QPalette(QColor("#ffffff")))
app.setStyle("Fusion")
widget = ChatGPT()
widget.resize(800, 600)
widget.show()
sys.exit(app.exec_())
#%%
#%%