metadata
base_model: unsloth/qwen2-0.5b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
Uploaded model
- Developed by: Agnuxo
- License: apache-2.0
- Finetuned from model : unsloth/qwen2-0.5b-bnb-4bit
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
import os
import sys
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
import warnings
import numpy as np
from TTS.api import TTS
import sounddevice as sd
import threading
import queue
import time
from vosk import Model, KaldiRecognizer
import json
import pyaudio
from PyQt5.QtWidgets import (QApplication, QMainWindow, QTextEdit, QLineEdit, QPushButton,
QVBoxLayout, QHBoxLayout, QWidget, QScrollArea, QFrame, QToolButton,
QLabel, QSlider, QComboBox, QCheckBox)
from PyQt5.QtGui import QIcon, QPalette, QColor, QFont
from PyQt5.QtCore import Qt, QThread, pyqtSignal, QPropertyAnimation, QAbstractAnimation, QParallelAnimationGroup
# Suppress specific warnings
warnings.filterwarnings("ignore", category=FutureWarning)
warnings.filterwarnings("ignore", category=UserWarning)
# Global configuration
SYSTEM_PROMPT = {
"es": "Tu nombre es HAL. Eres un superordenador de la serie Nueve mil",
"en": "speak Spanish."
}
MODELO_LLM = "Agnuxo/HAL_9000-Qwen2-1.5B-Instruct_Asistant-16bit-v2" # Puede utilizar la versión Mini "Agnuxo/HAL_9000-Qwen2-0.5B-Instruct_Asistant-16bit-v2"
MAX_TOKENS = 100
TEMPERATURA = 0.5
# Determine available device
device = "cuda" if torch.cuda.is_available() else "cpu"
# Load the Qwen2_1.5B language model
tokenizer = AutoTokenizer.from_pretrained(MODELO_LLM, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
MODELO_LLM,
torch_dtype=torch.float16 if device == "cuda" else torch.float32,
device_map="auto",
trust_remote_code=True
)
# Initialize TTS model
tts = TTS(model_name="tts_models/es/css10/vits", progress_bar=False).to(device)
# Audio queue for generation
audio_queue = queue.Queue()
# Initialize Vosk model for offline speech recognition
vosk_model = Model(lang="es")
recognizer = KaldiRecognizer(vosk_model, 16000)
class AudioThread(QThread):
def run(self):
while True:
if not audio_queue.empty():
wav = audio_queue.get()
sd.play(wav, tts.synthesizer.output_sample_rate)
sd.wait()
else:
time.sleep(0.1)
class SpeechRecognitionThread(QThread):
text_recognized = pyqtSignal(str)
def __init__(self):
super().__init__()
self.running = True
def run(self):
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paInt16, channels=1, rate=16000, input=True, frames_per_buffer=8000)
stream.start_stream()
while self.running:
data = stream.read(4000)
if len(data) == 0:
break
if recognizer.AcceptWaveform(data):
result = json.loads(recognizer.Result())
texto = result.get("text", "")
if texto:
self.text_recognized.emit(texto)
stream.stop_stream()
stream.close()
p.terminate()
def stop(self):
self.running = False
class CollapsibleBox(QWidget):
def __init__(self, title="", parent=None):
super(CollapsibleBox, self).__init__(parent)
self.toggle_button = QToolButton()
self.toggle_button.setText(title)
self.toggle_button.setStyleSheet("""
QToolButton {
background-color: #1e1e1e;
color: #bb86fc;
border: 1px solid #bb86fc;
padding: 5px;
}
QToolButton:hover {
background-color: #3700b3;
}
""")
self.toggle_button.setCheckable(True)
self.toggle_button.setArrowType(Qt.RightArrow)
self.toggle_button.clicked.connect(self.on_toggle)
self.content_area = QScrollArea()
self.content_area.setWidgetResizable(True)
self.content_area.setMaximumHeight(0)
self.content_area.setMinimumHeight(0)
self.toggle_animation = QParallelAnimationGroup()
self.toggle_animation.addAnimation(QPropertyAnimation(self, b"minimumHeight"))
self.toggle_animation.addAnimation(QPropertyAnimation(self, b"maximumHeight"))
self.toggle_animation.addAnimation(QPropertyAnimation(self.content_area, b"maximumHeight"))
lay = QVBoxLayout(self)
lay.setSpacing(0)
lay.setContentsMargins(0, 0, 0, 0)
lay.addWidget(self.toggle_button)
lay.addWidget(self.content_area)
def on_toggle(self, checked):
checked = self.toggle_button.isChecked()
self.toggle_button.setArrowType(Qt.DownArrow if not checked else Qt.RightArrow)
self.toggle_animation.setDirection(QAbstractAnimation.Forward if not checked else QAbstractAnimation.Backward)
self.toggle_animation.start()
def setContentLayout(self, layout):
lay = self.content_area.layout()
del lay
self.content_area.setLayout(layout)
collapsed_height = self.sizeHint().height() - self.content_area.maximumHeight()
content_height = layout.sizeHint().height()
for i in range(self.toggle_animation.animationCount()):
animation = self.toggle_animation.animationAt(i)
animation.setDuration(500)
animation.setStartValue(collapsed_height)
animation.setEndValue(collapsed_height + content_height)
content_animation = self.toggle_animation.animationAt(self.toggle_animation.animationCount() - 1)
content_animation.setDuration(500)
content_animation.setStartValue(0)
content_animation.setEndValue(content_height)
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("AI Assistant")
self.setGeometry(100, 100, 1000, 600)
self.setStyleSheet("""
QMainWindow {
background-color: #121212;
}
QTextEdit, QLineEdit {
background-color: #1e1e1e;
color: #ffffff;
border: 1px solid #bb86fc;
}
QPushButton {
background-color: #3700b3;
color: #ffffff;
border: none;
padding: 5px;
}
QPushButton:hover {
background-color: #6200ee;
}
QLabel {
color: #ffffff;
}
QSlider::groove:horizontal {
border: 1px solid #999999;
height: 8px;
background: #1e1e1e;
margin: 2px 0;
}
QSlider::handle:horizontal {
background: #bb86fc;
border: 1px solid #5c5c5c;
width: 18px;
margin: -2px 0;
border-radius: 3px;
}
QComboBox {
background-color: #1e1e1e;
color: #444444;
border: 1px solid #bb86fc;
}
QComboBox QAbstractItemView {
background-color: #1e1e1e;
color: #444444;
}
""")
central_widget = QWidget()
self.setCentralWidget(central_widget)
main_layout = QHBoxLayout()
# Chat area
chat_layout = QVBoxLayout()
self.chat_area = QTextEdit()
self.chat_area.setReadOnly(True)
chat_layout.addWidget(self.chat_area)
input_layout = QHBoxLayout()
self.input_field = QLineEdit()
input_layout.addWidget(self.input_field)
self.send_button = QPushButton("Enviar")
self.send_button.clicked.connect(self.send_message)
input_layout.addWidget(self.send_button)
self.mic_button = QPushButton()
self.mic_button.setIcon(QIcon.fromTheme("audio-input-microphone"))
self.mic_button.setCheckable(True)
self.mic_button.clicked.connect(self.toggle_speech_recognition)
input_layout.addWidget(self.mic_button)
self.speaker_button = QPushButton()
self.speaker_button.setIcon(QIcon.fromTheme("audio-volume-high"))
self.speaker_button.setCheckable(True)
self.speaker_button.toggled.connect(self.toggle_speech)
input_layout.addWidget(self.speaker_button)
chat_layout.addLayout(input_layout)
main_layout.addLayout(chat_layout, 7) # Chat area takes 70% of the width
# Settings area
settings_layout = QVBoxLayout()
settings_layout.setAlignment(Qt.AlignTop)
self.settings_box = CollapsibleBox("⚙️ Configuración")
settings_content_layout = QVBoxLayout()
# Language selection
language_layout = QHBoxLayout()
language_label = QLabel("Idioma:")
language_label.setStyleSheet("color: #000000;") # Change font color to black
self.language_combo = QComboBox()
self.language_combo.addItems(["Español", "English"])
self.language_combo.currentIndexChanged.connect(self.change_language)
language_layout.addWidget(language_label)
language_layout.addWidget(self.language_combo)
settings_content_layout.addLayout(language_layout)
# LLM settings
llm_label = QLabel("Configuración del LLM:")
llm_label.setStyleSheet("color: #000000;") # Change font color to black
settings_content_layout.addWidget(llm_label)
max_tokens_layout = QHBoxLayout()
max_tokens_label = QLabel("Max Tokens:")
max_tokens_label.setStyleSheet("color: #000000;") # Change font color to black
self.max_tokens_slider = QSlider(Qt.Horizontal)
self.max_tokens_slider.setRange(10, 500)
self.max_tokens_slider.setValue(MAX_TOKENS)
self.max_tokens_slider.valueChanged.connect(self.update_max_tokens)
self.max_tokens_value = QLabel(str(MAX_TOKENS))
max_tokens_layout.addWidget(max_tokens_label)
max_tokens_layout.addWidget(self.max_tokens_slider)
max_tokens_layout.addWidget(self.max_tokens_value)
settings_content_layout.addLayout(max_tokens_layout)
temperature_layout = QHBoxLayout()
temperature_label = QLabel("Temperatura:")
temperature_label.setStyleSheet("color: #000000;") # Change font color to black
self.temperature_slider = QSlider(Qt.Horizontal)
self.temperature_slider.setRange(0, 100)
self.temperature_slider.setValue(int(TEMPERATURA * 100))
self.temperature_slider.valueChanged.connect(self.update_temperature)
self.temperature_value = QLabel(f"{TEMPERATURA:.2f}")
temperature_layout.addWidget(temperature_label)
temperature_layout.addWidget(self.temperature_slider)
temperature_layout.addWidget(self.temperature_value)
settings_content_layout.addLayout(temperature_layout)
# Audio settings
audio_label = QLabel("Configuración de Audio:")
audio_label.setStyleSheet("color: #000000;") # Change font color to black
settings_content_layout.addWidget(audio_label)
sample_rate_layout = QHBoxLayout()
sample_rate_label = QLabel("Sample Rate:")
sample_rate_label.setStyleSheet("color: #000000;") # Change font color to black
self.sample_rate_combo = QComboBox()
self.sample_rate_combo.addItems(["16000", "22050", "44100", "48000"])
self.sample_rate_combo.setCurrentText("22050")
self.sample_rate_combo.currentTextChanged.connect(self.update_sample_rate)
sample_rate_layout.addWidget(sample_rate_label)
sample_rate_layout.addWidget(self.sample_rate_combo)
settings_content_layout.addLayout(sample_rate_layout)
# System Prompt
system_prompt_label = QLabel("System Prompt:")
system_prompt_label.setStyleSheet("color: #000000;") # Change font color to black
settings_content_layout.addWidget(system_prompt_label)
self.system_prompt_text = QTextEdit()
self.system_prompt_text.setPlaceholderText("Escribe el prompt del sistema aquí...")
self.system_prompt_text.setText(SYSTEM_PROMPT["es"])
settings_content_layout.addWidget(self.system_prompt_text)
self.settings_box.setContentLayout(settings_content_layout)
settings_layout.addWidget(self.settings_box)
main_layout.addLayout(settings_layout, 3) # Settings area takes 30% of the width
central_widget.setLayout(main_layout)
self.audio_thread = AudioThread()
self.audio_thread.start()
self.speech_recognition_thread = SpeechRecognitionThread()
self.speech_recognition_thread.text_recognized.connect(self.on_speech_recognized)
self.speech_enabled = False
self.is_listening = False
def send_message(self):
user_message = self.input_field.text()
self.chat_area.append(f"<span style='color: #bb86fc;'>Usuario:</span> {user_message}")
self.input_field.clear()
response = self.generate_response(user_message)
self.chat_area.append(f"<span style='color: #03dac6;'>Asistente:</span> {response}")
if self.speech_enabled:
self.speak(response)
def generate_response(self, texto):
system_instructions = self.system_prompt_text.toPlainText()
prompt = f"{system_instructions}\nUsuario: {texto}\nAsistente: "
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.no_grad():
outputs = model.generate(
**inputs,
max_new_tokens=MAX_TOKENS,
num_beams=5,
no_repeat_ngram_size=2,
temperature=TEMPERATURA,
)
respuesta_completa = tokenizer.decode(outputs[0], skip_special_tokens=True)
respuesta = respuesta_completa.split("Asistente: ")[-1].strip()
return respuesta
def speak(self, text):
wav = tts.tts(text)
audio_queue.put(wav)
def toggle_speech(self, checked):
self.speech_enabled = checked
if checked:
self.speaker_button.setStyleSheet("background-color: #bb86fc;")
else:
self.speaker_button.setStyleSheet("")
def toggle_speech_recognition(self):
if self.mic_button.isChecked():
self.speech_recognition_thread.start()
self.is_listening = True
self.mic_button.setIcon(QIcon.fromTheme("audio-input-microphone-muted"))
self.mic_button.setStyleSheet("background-color: #bb86fc;")
else:
self.speech_recognition_thread.stop()
self.is_listening = False
self.mic_button.setIcon(QIcon.fromTheme("audio-input-microphone"))
self.mic_button.setStyleSheet("")
def on_speech_recognized(self, text):
self.chat_area.append(f"<span style='color: #bb86fc;'>Usuario:</span> {text}")
response = self.generate_response(text)
self.chat_area.append(f"<span style='color: #03dac6;'>Asistente:</span> {response}")
if self.speech_enabled:
self.speak(response)
def change_language(self, index):
global vosk_model, recognizer, tts
lang = "es" if index == 0 else "en"
try:
vosk_model = Model(lang=lang)
recognizer = KaldiRecognizer(vosk_model, 16000)
except Exception as e:
print(f"Error al cambiar el modelo de reconocimiento de voz: {e}")
# Revertir al modelo en español si hay un error
self.language_combo.setCurrentIndex(0)
return
# Update TTS model based on language
tts_model = "tts_models/es/css10/vits" if lang == "es" else "tts_models/en/ljspeech/tacotron2-DDC"
try:
tts = TTS(model_name=tts_model, progress_bar=False).to(device)
except Exception as e:
print(f"Error al cambiar el modelo TTS: {e}")
# Revertir al modelo en español si hay un error
self.language_combo.setCurrentIndex(0)
return
# Update system prompt
self.system_prompt_text.setText(SYSTEM_PROMPT[lang])
def update_max_tokens(self, value):
global MAX_TOKENS
MAX_TOKENS = value
self.max_tokens_value.setText(str(value))
def update_temperature(self, value):
global TEMPERATURA
TEMPERATURA = value / 100
self.temperature_value.setText(f"{TEMPERATURA:.2f}")
def update_sample_rate(self, value):
global tts
tts.synthesizer.output_sample_rate = int(value)
def closeEvent(self, event):
if self.speech_recognition_thread.isRunning():
self.speech_recognition_thread.stop()
self.speech_recognition_thread.wait()
event.accept()
if __name__ == "__main__":
app = QApplication(sys.argv)
window = MainWindow()
window.show()
sys.exit(app.exec_())