Spaces:
Sleeping
Sleeping
Remove server-based TTS libraries and rely on Web Speech API in the client
Browse files- app.py +5 -4
- models/chatbot_model.py +10 -14
- requirements.txt +0 -0
- static/js/scripts.js +13 -9
app.py
CHANGED
|
@@ -46,17 +46,18 @@ def get_bot_response():
|
|
| 46 |
user_input = request.form.get('message', '').strip()
|
| 47 |
if not user_input:
|
| 48 |
logger.warning("Mensaje vac铆o recibido del usuario.")
|
| 49 |
-
return jsonify({'response': "Por favor, ingresa un mensaje."
|
| 50 |
|
| 51 |
response_data = chatbot.generate_response(user_input)
|
|
|
|
| 52 |
response_text = response_data.get('text', "Lo siento, no pude procesar tu mensaje.")
|
| 53 |
-
audio_path = response_data.get('audio_path', '')
|
| 54 |
|
| 55 |
-
|
|
|
|
| 56 |
|
| 57 |
except Exception as e:
|
| 58 |
logger.error(f"Error en /get_response: {e}")
|
| 59 |
-
return jsonify({'response': "Lo siento, ha ocurrido un error al procesar tu solicitud."
|
| 60 |
|
| 61 |
if __name__ == '__main__':
|
| 62 |
# Ajustamos para leer la variable de entorno PORT (o usar 7860 por defecto)
|
|
|
|
| 46 |
user_input = request.form.get('message', '').strip()
|
| 47 |
if not user_input:
|
| 48 |
logger.warning("Mensaje vac铆o recibido del usuario.")
|
| 49 |
+
return jsonify({'response': "Por favor, ingresa un mensaje."}), 400
|
| 50 |
|
| 51 |
response_data = chatbot.generate_response(user_input)
|
| 52 |
+
# Obtenemos el texto, pero ignoramos audio_path, ya que no generamos audio en el servidor
|
| 53 |
response_text = response_data.get('text', "Lo siento, no pude procesar tu mensaje.")
|
|
|
|
| 54 |
|
| 55 |
+
# Devolvemos solo el texto (y, si quieres, emoci贸n, confianza, etc.)
|
| 56 |
+
return jsonify({'response': response_text})
|
| 57 |
|
| 58 |
except Exception as e:
|
| 59 |
logger.error(f"Error en /get_response: {e}")
|
| 60 |
+
return jsonify({'response': "Lo siento, ha ocurrido un error al procesar tu solicitud."}), 500
|
| 61 |
|
| 62 |
if __name__ == '__main__':
|
| 63 |
# Ajustamos para leer la variable de entorno PORT (o usar 7860 por defecto)
|
models/chatbot_model.py
CHANGED
|
@@ -7,7 +7,7 @@ import os
|
|
| 7 |
import logging
|
| 8 |
from typing import Tuple, Dict, Any
|
| 9 |
import json
|
| 10 |
-
import pyttsx3
|
| 11 |
|
| 12 |
class MentalHealthChatbot:
|
| 13 |
def __init__(self, model_path: str = 'models/bert_emotion_model'):
|
|
@@ -120,7 +120,7 @@ class MentalHealthChatbot:
|
|
| 120 |
return 'CONFUSI脫N', 0.0
|
| 121 |
|
| 122 |
def generate_response(self, user_input: str) -> Dict[str, Any]:
|
| 123 |
-
"""Genera una respuesta basada en el input del usuario."""
|
| 124 |
try:
|
| 125 |
processed_text = self.preprocess_text(user_input)
|
| 126 |
self.logger.info(f"Texto procesado: {processed_text}")
|
|
@@ -136,14 +136,15 @@ class MentalHealthChatbot:
|
|
| 136 |
response = np.random.choice(responses)
|
| 137 |
self.logger.info(f"Respuesta seleccionada: {response}")
|
| 138 |
|
| 139 |
-
|
|
|
|
| 140 |
|
| 141 |
self.update_conversation_history(user_input, response, emotion)
|
| 142 |
self.save_conversation_history()
|
| 143 |
|
| 144 |
return {
|
| 145 |
'text': response,
|
| 146 |
-
'audio_path': audio_path,
|
| 147 |
'emotion': emotion,
|
| 148 |
'confidence': confidence,
|
| 149 |
'timestamp': datetime.now().isoformat()
|
|
@@ -153,21 +154,18 @@ class MentalHealthChatbot:
|
|
| 153 |
self.logger.error(f"Error al generar respuesta: {str(e)}")
|
| 154 |
return {
|
| 155 |
'text': "Lo siento, ha ocurrido un error. 驴Podr铆as intentarlo de nuevo?",
|
| 156 |
-
'audio_path': None,
|
| 157 |
'emotion': 'ERROR',
|
| 158 |
'confidence': 0.0,
|
| 159 |
'timestamp': datetime.now().isoformat()
|
| 160 |
}
|
| 161 |
|
|
|
|
|
|
|
| 162 |
def generate_audio(self, text: str) -> str:
|
| 163 |
-
|
| 164 |
-
Genera el audio para la respuesta y devuelve una ruta local.
|
| 165 |
-
Nota: Si quieres servir este audio v铆a HTTP,
|
| 166 |
-
necesitar谩s un endpoint que lo sirva desde /tmp/audio.
|
| 167 |
-
"""
|
| 168 |
try:
|
| 169 |
filename = f"response_{datetime.now().strftime('%Y%m%d_%H%M%S_%f')}.mp3"
|
| 170 |
-
# Guardar audios en /tmp/audio
|
| 171 |
file_path = os.path.join(self.audio_dir, filename)
|
| 172 |
os.makedirs(os.path.dirname(file_path), exist_ok=True)
|
| 173 |
|
|
@@ -188,13 +186,12 @@ class MentalHealthChatbot:
|
|
| 188 |
engine.runAndWait()
|
| 189 |
|
| 190 |
self.logger.info(f"Audio generado y guardado en {file_path}")
|
| 191 |
-
|
| 192 |
-
# Devolvemos la ruta local en /tmp/audio
|
| 193 |
return file_path
|
| 194 |
|
| 195 |
except Exception as e:
|
| 196 |
self.logger.error(f"Error al generar audio: {str(e)}")
|
| 197 |
return None
|
|
|
|
| 198 |
|
| 199 |
def update_conversation_history(self, user_input: str, response: str, emotion: str):
|
| 200 |
"""Actualiza el historial de conversaci贸n en memoria."""
|
|
@@ -216,7 +213,6 @@ class MentalHealthChatbot:
|
|
| 216 |
def save_conversation_history(self):
|
| 217 |
"""Guarda el historial de conversaci贸n en un archivo dentro de /tmp."""
|
| 218 |
try:
|
| 219 |
-
# Guardamos en /tmp/conversations
|
| 220 |
filename = f"{self.conversations_dir}/chat_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
|
| 221 |
os.makedirs(os.path.dirname(filename), exist_ok=True)
|
| 222 |
|
|
|
|
| 7 |
import logging
|
| 8 |
from typing import Tuple, Dict, Any
|
| 9 |
import json
|
| 10 |
+
# import pyttsx3 # Comentado para no usar TTS en el servidor
|
| 11 |
|
| 12 |
class MentalHealthChatbot:
|
| 13 |
def __init__(self, model_path: str = 'models/bert_emotion_model'):
|
|
|
|
| 120 |
return 'CONFUSI脫N', 0.0
|
| 121 |
|
| 122 |
def generate_response(self, user_input: str) -> Dict[str, Any]:
|
| 123 |
+
"""Genera una respuesta basada en el input del usuario, sin generar audio en el servidor."""
|
| 124 |
try:
|
| 125 |
processed_text = self.preprocess_text(user_input)
|
| 126 |
self.logger.info(f"Texto procesado: {processed_text}")
|
|
|
|
| 136 |
response = np.random.choice(responses)
|
| 137 |
self.logger.info(f"Respuesta seleccionada: {response}")
|
| 138 |
|
| 139 |
+
# Comentamos la generaci贸n de audio en el servidor
|
| 140 |
+
# audio_path = self.generate_audio(response)
|
| 141 |
|
| 142 |
self.update_conversation_history(user_input, response, emotion)
|
| 143 |
self.save_conversation_history()
|
| 144 |
|
| 145 |
return {
|
| 146 |
'text': response,
|
| 147 |
+
# 'audio_path': audio_path, # Comentado
|
| 148 |
'emotion': emotion,
|
| 149 |
'confidence': confidence,
|
| 150 |
'timestamp': datetime.now().isoformat()
|
|
|
|
| 154 |
self.logger.error(f"Error al generar respuesta: {str(e)}")
|
| 155 |
return {
|
| 156 |
'text': "Lo siento, ha ocurrido un error. 驴Podr铆as intentarlo de nuevo?",
|
| 157 |
+
# 'audio_path': None,
|
| 158 |
'emotion': 'ERROR',
|
| 159 |
'confidence': 0.0,
|
| 160 |
'timestamp': datetime.now().isoformat()
|
| 161 |
}
|
| 162 |
|
| 163 |
+
# Comentamos toda la funci贸n generate_audio si no se usa
|
| 164 |
+
"""
|
| 165 |
def generate_audio(self, text: str) -> str:
|
| 166 |
+
# Genera el audio en el servidor (COMENTADO).
|
|
|
|
|
|
|
|
|
|
|
|
|
| 167 |
try:
|
| 168 |
filename = f"response_{datetime.now().strftime('%Y%m%d_%H%M%S_%f')}.mp3"
|
|
|
|
| 169 |
file_path = os.path.join(self.audio_dir, filename)
|
| 170 |
os.makedirs(os.path.dirname(file_path), exist_ok=True)
|
| 171 |
|
|
|
|
| 186 |
engine.runAndWait()
|
| 187 |
|
| 188 |
self.logger.info(f"Audio generado y guardado en {file_path}")
|
|
|
|
|
|
|
| 189 |
return file_path
|
| 190 |
|
| 191 |
except Exception as e:
|
| 192 |
self.logger.error(f"Error al generar audio: {str(e)}")
|
| 193 |
return None
|
| 194 |
+
"""
|
| 195 |
|
| 196 |
def update_conversation_history(self, user_input: str, response: str, emotion: str):
|
| 197 |
"""Actualiza el historial de conversaci贸n en memoria."""
|
|
|
|
| 213 |
def save_conversation_history(self):
|
| 214 |
"""Guarda el historial de conversaci贸n en un archivo dentro de /tmp."""
|
| 215 |
try:
|
|
|
|
| 216 |
filename = f"{self.conversations_dir}/chat_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
|
| 217 |
os.makedirs(os.path.dirname(filename), exist_ok=True)
|
| 218 |
|
requirements.txt
CHANGED
|
Binary files a/requirements.txt and b/requirements.txt differ
|
|
|
static/js/scripts.js
CHANGED
|
@@ -24,13 +24,15 @@ document.addEventListener('DOMContentLoaded', () => {
|
|
| 24 |
|
| 25 |
fetch('/get_response', {
|
| 26 |
method: 'POST',
|
| 27 |
-
body: new URLSearchParams({'message': message}),
|
| 28 |
})
|
| 29 |
.then(response => response.ok ? response.json() : response.json().then(err => Promise.reject(err)))
|
| 30 |
.then(data => {
|
| 31 |
removeTypingIndicator();
|
| 32 |
addMessageToChatbox('Asistente', data.response);
|
| 33 |
-
|
|
|
|
|
|
|
| 34 |
})
|
| 35 |
.catch(error => {
|
| 36 |
removeTypingIndicator();
|
|
@@ -98,13 +100,15 @@ document.addEventListener('DOMContentLoaded', () => {
|
|
| 98 |
};
|
| 99 |
}
|
| 100 |
|
| 101 |
-
|
| 102 |
-
|
| 103 |
-
|
| 104 |
-
const
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
|
|
|
|
|
|
|
| 108 |
}
|
| 109 |
}
|
| 110 |
|
|
|
|
| 24 |
|
| 25 |
fetch('/get_response', {
|
| 26 |
method: 'POST',
|
| 27 |
+
body: new URLSearchParams({ 'message': message }),
|
| 28 |
})
|
| 29 |
.then(response => response.ok ? response.json() : response.json().then(err => Promise.reject(err)))
|
| 30 |
.then(data => {
|
| 31 |
removeTypingIndicator();
|
| 32 |
addMessageToChatbox('Asistente', data.response);
|
| 33 |
+
|
| 34 |
+
// En lugar de reproducir audio del servidor, usamos TTS en el navegador
|
| 35 |
+
speakResponse(data.response);
|
| 36 |
})
|
| 37 |
.catch(error => {
|
| 38 |
removeTypingIndicator();
|
|
|
|
| 100 |
};
|
| 101 |
}
|
| 102 |
|
| 103 |
+
// Eliminamos la funci贸n playResponse y a帽adimos speakResponse
|
| 104 |
+
function speakResponse(text) {
|
| 105 |
+
if ('speechSynthesis' in window) {
|
| 106 |
+
const utterance = new SpeechSynthesisUtterance(text);
|
| 107 |
+
utterance.lang = 'es-ES'; // Ajusta el idioma si lo deseas
|
| 108 |
+
// utterance.rate = 1.0; // Puedes ajustar la velocidad
|
| 109 |
+
window.speechSynthesis.speak(utterance);
|
| 110 |
+
} else {
|
| 111 |
+
console.warn("Este navegador no soporta Speech Synthesis.");
|
| 112 |
}
|
| 113 |
}
|
| 114 |
|