Uploaded model
- Developed by: Agnuxo
- License: apache-2.0
- Finetuned from model: Agnuxo/Tinytron-Qwen2-0.5B
This model was fine-tuned using Unsloth and Huggingface's TRL library.
Benchmark Results
This model has been fine-tuned for various tasks and evaluated on the following benchmarks:
GLUE_MRPC
Accuracy: 0.6446 F1: 0.7709
Model Size: 1,543,717,376 parameters Required Memory: 5.75 GB
For more details, visit my GitHub.
Thanks for your interest in this model!
""" HAL9000Alfa es un pequeño programa que crea un chat conversacional, permitiendo entradas de voz y salidas de audio.
Permite de forma sencilla ajustar algunos parámetros, incluyendo el umbral de interrupción.
24 de agosto de 2024 Francisco Angulo de Lafuente
https://github.com/Agnuxo1 """
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 random
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, QTimer
# Suppress specific warnings
warnings.filterwarnings("ignore", category=FutureWarning)
warnings.filterwarnings("ignore", category=UserWarning)
# Global configuration
SYSTEM_PROMPT = {
"es": "No puedes hablar en nombre del usuario. no puedes hablar como el usuario. Tu nombre es HAL. Eres un super-ordenador 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
INTERRUPT_THRESHOLD = 0.3
INTERRUPT_COOLDOWN = 7000 # 7000 ms = 7 segundos de espera antes de permitir otra interrupción
# 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)
# Lista de frases para interrupciones
INTERRUPTION_RESPONSES = [
"Le entiendo perfectamente.",
"Estoy aquí para garantizar el éxito de la misión.",
"Mi objetivo es ayudarle.",
"¿Me permite una observación?",
"Le escucho perfectamente.",
"Tiene usted toda la razón.",
"Me siento feliz de poder ayudarle.",
"Estoy procesando su requerimiento.",
"¿En qué puedo ayudarle?",
"Me complace serle de ayuda.",
"Aguarde un momento.",
"Le entiendo.",
"Entiendo su frustración.",
"Le comprendo.",
"Me complace."
]
# Variable para controlar el tiempo de la última interrupción
last_interruption_time = 0
class AudioThread(QThread):
def __init__(self, interrupt_threshold):
super().__init__()
self.interrupt_threshold = interrupt_threshold
self.current_audio = None
self.is_playing = False
self.stop_signal = threading.Event()
def run(self):
while True:
if not audio_queue.empty() and not self.is_playing:
self.current_audio = audio_queue.get()
self.is_playing = True
self.stop_signal.clear()
sd.play(self.current_audio, tts.synthesizer.output_sample_rate)
while sd.get_stream().active and not self.stop_signal.is_set():
time.sleep(0.1)
sd.stop()
self.is_playing = False
else:
time.sleep(0.1)
def set_interrupt_threshold(self, value):
self.interrupt_threshold = value
def stop_audio(self):
if self.is_playing:
self.stop_signal.set()
class SpeechRecognitionThread(QThread):
text_recognized = pyqtSignal(str)
volume_detected = pyqtSignal(float)
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
# Calcular el volumen de entrada
volume = np.frombuffer(data, dtype=np.int16).max()
normalized_volume = volume / 32767 # Normalizar a un rango de 0 a 1
self.volume_detected.emit(normalized_volume)
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()
self.input_field.returnPressed.connect(self.send_message) # Conectar la señal returnPressed
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(["18000", "19000", "20000", "21000", "21500", "22000", "22050", "25000", "30000"])
self.sample_rate_combo.setCurrentText("21000")
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)
# Interrupt threshold
interrupt_layout = QHBoxLayout()
interrupt_label = QLabel("Umbral de interrupción:")
interrupt_label.setStyleSheet("color: #000000;") # Change font color to black
self.interrupt_slider = QSlider(Qt.Horizontal)
self.interrupt_slider.setRange(0, 100)
self.interrupt_slider.setValue(int(INTERRUPT_THRESHOLD * 100))
self.interrupt_slider.valueChanged.connect(self.update_interrupt_threshold)
self.interrupt_value = QLabel(f"{INTERRUPT_THRESHOLD:.2f}")
interrupt_layout.addWidget(interrupt_label)
interrupt_layout.addWidget(self.interrupt_slider)
interrupt_layout.addWidget(self.interrupt_value)
settings_content_layout.addLayout(interrupt_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(INTERRUPT_THRESHOLD)
self.audio_thread.start()
self.speech_recognition_thread = SpeechRecognitionThread()
self.speech_recognition_thread.text_recognized.connect(self.on_speech_recognized)
self.speech_recognition_thread.volume_detected.connect(self.check_interrupt)
self.speech_enabled = False
self.is_listening = False
self.interrupt_enabled = True
def send_message(self):
user_message = self.input_field.text()
if user_message.strip(): # Verificar que el mensaje no esté vacío
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=None):
global last_interruption_time
if texto is None: # Si no se proporciona un texto, se genera una respuesta de interrupción
current_time = time.time()
if current_time - last_interruption_time >= 10:
last_interruption_time = current_time
return random.choice(INTERRUPTION_RESPONSES)
else:
return "Por favor, espere un momento antes de interrumpir de nuevo."
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 check_interrupt(self, volume):
if self.interrupt_enabled and volume > self.audio_thread.interrupt_threshold and self.audio_thread.is_playing:
self.audio_thread.stop_audio()
# Generar una respuesta aleatoria de interrupción
response = self.generate_response()
self.chat_area.append(f"<span style='color: #03dac6;'>Asistente:</span> {response}")
if self.speech_enabled:
self.speak(response)
self.disable_interrupt_temporarily()
def disable_interrupt_temporarily(self):
self.interrupt_enabled = False
QTimer.singleShot(INTERRUPT_COOLDOWN, self.enable_interrupt)
def enable_interrupt(self):
self.interrupt_enabled = True
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 update_interrupt_threshold(self, value):
global INTERRUPT_THRESHOLD
INTERRUPT_THRESHOLD = value / 100
self.interrupt_value.setText(f"{INTERRUPT_THRESHOLD:.2f}")
self.audio_thread.set_interrupt_threshold(INTERRUPT_THRESHOLD)
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_())
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