Upload 3 files
Browse files- app.py +87 -0
- index.html +500 -0
- requirements.txt +76 -0
app.py
ADDED
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from flask import Flask, request, jsonify
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from flask_cors import CORS
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from transformers import pipeline
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import os # Necesario para acceder a variables de entorno
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app = Flask(__name__)
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CORS(app) # Habilita CORS para permitir peticiones desde tu frontend
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# Nombre del modelo de Hugging Face
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MODEL_ID = "sarvamai/sarvam-m"
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# Variable para almacenar el pipeline de la IA
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pipe = None
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# FunciΓ³n para cargar el modelo
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# Se llama al inicio para que el modelo estΓ© listo
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def load_model():
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global pipe
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try:
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print(f"Cargando modelo '{MODEL_ID}'. Esto puede tardar unos minutos...")
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# El token de Hugging Face se obtiene automΓ‘ticamente de la variable de entorno HF_TOKEN
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# que configuras como un "Secret" en Hugging Face Spaces.
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# No necesitas pasarlo explΓcitamente aquΓ si estΓ‘ en los Secrets.
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# device=-1 usa CPU, device=0 usa GPU si estΓ‘ disponible (en Spaces, se elegirΓ‘ automΓ‘ticamente si el hardware lo soporta)
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pipe = pipeline("text-generation", model=MODEL_ID, device=-1)
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print(f"Modelo '{MODEL_ID}' cargado con Γ©xito.")
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except Exception as e:
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print(f"Error al cargar el modelo '{MODEL_ID}': {e}")
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pipe = None
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print("El servidor no podrΓ‘ responder a las solicitudes de IA.")
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# Cargar el modelo cuando la aplicaciΓ³n Flask se inicia
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# Usamos app.before_first_request para asegurar que se carga una vez al inicio
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@app.before_first_request
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def init_model():
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load_model()
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@app.route('/chat', methods=['POST'])
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def chat():
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if pipe is None:
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return jsonify({"error": "El modelo de IA no estΓ‘ cargado. Por favor, revisa el log del servidor."}), 503
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data = request.json
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messages = data.get('messages') # El frontend envΓa el historial completo
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if not messages:
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return jsonify({"error": "No se proporcionaron mensajes."}), 400
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try:
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# Construimos un prompt simple para el modelo de text-generation
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# concatenando el historial de mensajes.
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# Esta es una una simplificaciΓ³n; los modelos de chat suelen tener un formato especΓfico.
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prompt = ""
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for msg in messages:
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if msg['role'] == 'user':
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prompt += f"Usuario: {msg['content']}\n"
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elif msg['role'] == 'assistant':
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prompt += f"Asistente: {msg['content']}\n"
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prompt += "Asistente:" # Indicamos que esperamos la respuesta del asistente
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# Ajusta parΓ‘metros como max_new_tokens, temperature, do_sample segΓΊn tu necesidad
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response = pipe(prompt, max_new_tokens=250, temperature=0.7, do_sample=True, clean_up_tokenization_spaces=True)
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# La respuesta del pipe es una lista. Tomamos el primer elemento.
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generated_text = response[0]['generated_text']
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# Extraemos la parte de la respuesta de la IA.
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# Esto puede ser complicado con text-generation si el modelo repite el prompt.
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# AquΓ asumimos que la respuesta de la IA comienza despuΓ©s del ΓΊltimo "Asistente:"
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ai_response_content = generated_text.split("Asistente:", 1)[-1].strip()
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# A veces el modelo puede generar texto vacΓo o solo espacios.
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if not ai_response_content:
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ai_response_content = "Lo siento, no pude generar una respuesta clara. ΒΏPuedes intentarlo de nuevo?"
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return jsonify({"response": ai_response_content})
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except Exception as e:
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print(f"Error en la inferencia de la IA: {e}")
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return jsonify({"error": f"Error interno del servidor: {str(e)}"}), 500
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if __name__ == '__main__':
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# Obtener el puerto de la variable de entorno que proporciona Hugging Face Spaces
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# Por defecto, en Gradio Spaces, es 7860
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port = int(os.environ.get('PORT', 7860))
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# Β‘NUNCA USES debug=True EN PRODUCCIΓN! Solo para desarrollo.
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app.run(debug=False, host='0.0.0.0', port=port)
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index.html
ADDED
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@@ -0,0 +1,500 @@
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<!DOCTYPE html>
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| 2 |
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<html lang="es">
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| 3 |
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<head>
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| 4 |
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<meta charset="UTF-8">
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| 5 |
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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| 6 |
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<title>Amside AI - Interfaz con IA Real</title>
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| 7 |
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<style>
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| 8 |
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:root {
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| 9 |
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--primary-color: #22272b; /* Dark Background */
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| 10 |
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--secondary-color: #37404a; /* Darker Grey */
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| 11 |
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--accent-color: #00bcd4; /* Cyan */
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| 12 |
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--text-color-primary: #eee;
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| 13 |
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--text-color-secondary: #ccc;
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| 14 |
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--error-color: #f44336; /* Red accent */
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| 15 |
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--border-radius: 8px;
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| 16 |
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--box-shadow: 0 8px 24px rgba(0, 0, 0, 0.2);
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| 17 |
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--transition: all 0.3s ease-in-out;
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| 18 |
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--sidebar-width: 300px;
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| 19 |
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}
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| 20 |
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| 21 |
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body {
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| 22 |
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font-family: 'Roboto Mono', monospace;
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| 23 |
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background-color: var(--primary-color);
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| 24 |
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color: var(--text-color-primary);
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| 25 |
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margin: 0;
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| 26 |
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display: flex;
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| 27 |
+
min-height: 100vh;
|
| 28 |
+
padding: 0;
|
| 29 |
+
}
|
| 30 |
+
|
| 31 |
+
.sidebar {
|
| 32 |
+
background-color: var(--secondary-color);
|
| 33 |
+
width: var(--sidebar-width);
|
| 34 |
+
border-right: 1px solid #444d57;
|
| 35 |
+
padding: 25px;
|
| 36 |
+
display: flex;
|
| 37 |
+
flex-direction: column;
|
| 38 |
+
align-items: flex-start;
|
| 39 |
+
flex-shrink: 0;
|
| 40 |
+
}
|
| 41 |
+
|
| 42 |
+
.sidebar-header {
|
| 43 |
+
color: var(--text-color-primary);
|
| 44 |
+
margin-bottom: 30px;
|
| 45 |
+
text-align: left;
|
| 46 |
+
width: 100%;
|
| 47 |
+
}
|
| 48 |
+
|
| 49 |
+
.sidebar-header h2 {
|
| 50 |
+
margin: 0;
|
| 51 |
+
font-size: 1.8em;
|
| 52 |
+
font-weight: 400;
|
| 53 |
+
}
|
| 54 |
+
|
| 55 |
+
.new-chat-button {
|
| 56 |
+
background-color: var(--accent-color);
|
| 57 |
+
color: var(--text-color-primary);
|
| 58 |
+
border: none;
|
| 59 |
+
padding: 12px 18px;
|
| 60 |
+
border-radius: var(--border-radius);
|
| 61 |
+
cursor: pointer;
|
| 62 |
+
font-size: 1em;
|
| 63 |
+
margin-bottom: 20px;
|
| 64 |
+
transition: background-color var(--transition);
|
| 65 |
+
width: 100%;
|
| 66 |
+
text-align: left;
|
| 67 |
+
display: flex;
|
| 68 |
+
align-items: center;
|
| 69 |
+
justify-content: flex-start;
|
| 70 |
+
}
|
| 71 |
+
|
| 72 |
+
.new-chat-button svg {
|
| 73 |
+
margin-right: 10px;
|
| 74 |
+
}
|
| 75 |
+
|
| 76 |
+
.chat-list-title {
|
| 77 |
+
font-size: 0.9em;
|
| 78 |
+
color: var(--text-color-secondary);
|
| 79 |
+
margin-bottom: 10px;
|
| 80 |
+
text-transform: uppercase;
|
| 81 |
+
letter-spacing: 0.8px;
|
| 82 |
+
}
|
| 83 |
+
|
| 84 |
+
.chat-list {
|
| 85 |
+
list-style: none;
|
| 86 |
+
padding: 0;
|
| 87 |
+
margin: 0;
|
| 88 |
+
width: 100%;
|
| 89 |
+
}
|
| 90 |
+
|
| 91 |
+
.chat-list li {
|
| 92 |
+
padding: 10px 15px;
|
| 93 |
+
border-radius: var(--border-radius);
|
| 94 |
+
margin-bottom: 6px;
|
| 95 |
+
cursor: pointer;
|
| 96 |
+
background-color: #2c343c;
|
| 97 |
+
color: var(--text-color-secondary);
|
| 98 |
+
transition: background-color var(--transition), color var(--transition);
|
| 99 |
+
overflow: hidden;
|
| 100 |
+
text-overflow: ellipsis;
|
| 101 |
+
white-space: nowrap;
|
| 102 |
+
}
|
| 103 |
+
|
| 104 |
+
.chat-list li:hover {
|
| 105 |
+
background-color: var(--accent-color);
|
| 106 |
+
color: var(--text-color-primary);
|
| 107 |
+
}
|
| 108 |
+
|
| 109 |
+
.chat-container {
|
| 110 |
+
background-color: var(--primary-color);
|
| 111 |
+
border-radius: var(--border-radius);
|
| 112 |
+
box-shadow: var(--box-shadow);
|
| 113 |
+
display: flex;
|
| 114 |
+
flex-direction: column;
|
| 115 |
+
overflow: hidden;
|
| 116 |
+
flex-grow: 1;
|
| 117 |
+
margin: 20px;
|
| 118 |
+
border: 1px solid #333a40;
|
| 119 |
+
}
|
| 120 |
+
|
| 121 |
+
.chat-header {
|
| 122 |
+
background-color: var(--secondary-color);
|
| 123 |
+
color: var(--text-color-primary);
|
| 124 |
+
padding: 15px 20px;
|
| 125 |
+
text-align: left;
|
| 126 |
+
border-bottom: 1px solid #444d57;
|
| 127 |
+
border-top-left-radius: var(--border-radius);
|
| 128 |
+
border-top-right-radius: var(--border-radius);
|
| 129 |
+
display: flex;
|
| 130 |
+
align-items: center;
|
| 131 |
+
}
|
| 132 |
+
|
| 133 |
+
.chat-header button {
|
| 134 |
+
background: none;
|
| 135 |
+
border: none;
|
| 136 |
+
color: var(--text-color-primary);
|
| 137 |
+
font-size: 1em;
|
| 138 |
+
cursor: pointer;
|
| 139 |
+
margin-right: 20px;
|
| 140 |
+
padding: 8px 12px;
|
| 141 |
+
border-radius: var(--border-radius);
|
| 142 |
+
transition: background-color var(--transition);
|
| 143 |
+
}
|
| 144 |
+
|
| 145 |
+
.chat-header button:hover {
|
| 146 |
+
background-color: #444d57;
|
| 147 |
+
}
|
| 148 |
+
|
| 149 |
+
.chat-header h2 {
|
| 150 |
+
margin: 0;
|
| 151 |
+
font-size: 1.4em;
|
| 152 |
+
font-weight: 400;
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
.chat-body {
|
| 156 |
+
padding: 20px;
|
| 157 |
+
overflow-y: auto;
|
| 158 |
+
flex-grow: 1;
|
| 159 |
+
display: flex;
|
| 160 |
+
flex-direction: column;
|
| 161 |
+
gap: 12px;
|
| 162 |
+
}
|
| 163 |
+
|
| 164 |
+
.message {
|
| 165 |
+
background-color: #2c343c;
|
| 166 |
+
color: var(--text-color-secondary);
|
| 167 |
+
border-radius: var(--border-radius);
|
| 168 |
+
padding: 10px 14px;
|
| 169 |
+
word-break: break-word;
|
| 170 |
+
align-self: flex-start;
|
| 171 |
+
max-width: 80%;
|
| 172 |
+
box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
|
| 173 |
+
font-size: 0.95em;
|
| 174 |
+
}
|
| 175 |
+
|
| 176 |
+
.error-message {
|
| 177 |
+
background-color: #422b2b;
|
| 178 |
+
color: var(--error-color);
|
| 179 |
+
border-radius: var(--border-radius);
|
| 180 |
+
padding: 10px 14px;
|
| 181 |
+
word-break: break-word;
|
| 182 |
+
align-self: flex-start;
|
| 183 |
+
max-width: 80%;
|
| 184 |
+
box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
|
| 185 |
+
font-size: 0.95em;
|
| 186 |
+
border: 1px solid #5a3232;
|
| 187 |
+
}
|
| 188 |
+
|
| 189 |
+
.user-message-container {
|
| 190 |
+
display: flex;
|
| 191 |
+
flex-direction: column;
|
| 192 |
+
align-items: flex-end;
|
| 193 |
+
max-width: 80%;
|
| 194 |
+
align-self: flex-end;
|
| 195 |
+
}
|
| 196 |
+
|
| 197 |
+
.user-message {
|
| 198 |
+
background-color: var(--accent-color);
|
| 199 |
+
color: var(--text-color-primary);
|
| 200 |
+
border-radius: var(--border-radius);
|
| 201 |
+
padding: 10px 14px;
|
| 202 |
+
word-break: break-word;
|
| 203 |
+
box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
|
| 204 |
+
font-size: 0.95em;
|
| 205 |
+
margin-bottom: 5px;
|
| 206 |
+
}
|
| 207 |
+
|
| 208 |
+
.loading-indicator {
|
| 209 |
+
display: flex;
|
| 210 |
+
align-self: flex-end;
|
| 211 |
+
margin-top: 5px;
|
| 212 |
+
align-items: center;
|
| 213 |
+
font-size: 0.8em;
|
| 214 |
+
color: var(--text-color-secondary);
|
| 215 |
+
}
|
| 216 |
+
|
| 217 |
+
.loading-spinner {
|
| 218 |
+
border: 2px solid rgba(255, 255, 255, 0.1);
|
| 219 |
+
border-top: 2px solid var(--accent-color);
|
| 220 |
+
border-radius: 50%;
|
| 221 |
+
width: 14px;
|
| 222 |
+
height: 14px;
|
| 223 |
+
animation: spin 1s linear infinite;
|
| 224 |
+
margin-left: 6px;
|
| 225 |
+
}
|
| 226 |
+
|
| 227 |
+
@keyframes spin {
|
| 228 |
+
0% { transform: rotate(0deg); }
|
| 229 |
+
100% { transform: rotate(360deg); }
|
| 230 |
+
}
|
| 231 |
+
|
| 232 |
+
.input-area {
|
| 233 |
+
padding: 15px;
|
| 234 |
+
border-top: 1px solid #444d57;
|
| 235 |
+
display: flex;
|
| 236 |
+
align-items: center;
|
| 237 |
+
background-color: var(--secondary-color);
|
| 238 |
+
border-bottom-left-radius: var(--border-radius);
|
| 239 |
+
border-bottom-right-radius: var(--border-radius);
|
| 240 |
+
}
|
| 241 |
+
|
| 242 |
+
.input-field {
|
| 243 |
+
flex-grow: 1;
|
| 244 |
+
padding: 10px 12px;
|
| 245 |
+
border: 1px solid #555e68;
|
| 246 |
+
border-radius: var(--border-radius);
|
| 247 |
+
margin-right: 10px;
|
| 248 |
+
font-size: 0.95em;
|
| 249 |
+
color: var(--text-color-primary);
|
| 250 |
+
background-color: #2c343c;
|
| 251 |
+
}
|
| 252 |
+
|
| 253 |
+
.input-field:focus {
|
| 254 |
+
outline: none;
|
| 255 |
+
border-color: var(--accent-color);
|
| 256 |
+
box-shadow: 0 1px 3px rgba(var(--accent-color-rgb), 0.2);
|
| 257 |
+
}
|
| 258 |
+
|
| 259 |
+
.send-button {
|
| 260 |
+
background-color: var(--accent-color);
|
| 261 |
+
color: var(--text-color-primary);
|
| 262 |
+
border: none;
|
| 263 |
+
padding: 10px 15px;
|
| 264 |
+
border-radius: var(--border-radius);
|
| 265 |
+
cursor: pointer;
|
| 266 |
+
font-size: 0.95em;
|
| 267 |
+
transition: background-color var(--transition);
|
| 268 |
+
}
|
| 269 |
+
|
| 270 |
+
.send-button:hover {
|
| 271 |
+
background-color: #00838f; /* Cyan darken-1 */
|
| 272 |
+
}
|
| 273 |
+
</style>
|
| 274 |
+
<link href="https://fonts.googleapis.com/css2?family=Roboto+Mono:wght@400;500&display=swap" rel="stylesheet">
|
| 275 |
+
</head>
|
| 276 |
+
<body>
|
| 277 |
+
<div class="sidebar">
|
| 278 |
+
<div class="sidebar-header">
|
| 279 |
+
<h2>Amside AI</h2>
|
| 280 |
+
</div>
|
| 281 |
+
<button class="new-chat-button" id="new-chat-button">
|
| 282 |
+
<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-plus-square-fill" viewBox="0 0 16 16">
|
| 283 |
+
<path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2H2zm6.5 4.5v3h3a.5.5 0 0 1 0 1h-3v3a.5.5 0 0 1-1 0v-3h-3a.5.5 0 0 1 0-1h3v-3a.5.5 0 0 1 1 0z"/>
|
| 284 |
+
</svg>
|
| 285 |
+
Nueva ConversaciΓ³n
|
| 286 |
+
</button>
|
| 287 |
+
<h3 class="chat-list-title">Historial</h3>
|
| 288 |
+
<ul class="chat-list" id="chat-list">
|
| 289 |
+
</ul>
|
| 290 |
+
</div>
|
| 291 |
+
<div class="chat-container">
|
| 292 |
+
<div class="chat-header">
|
| 293 |
+
<button id="new-conversation-header-button">
|
| 294 |
+
<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-plus-square-fill" viewBox="0 0 16 16">
|
| 295 |
+
<path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2H2zm6.5 4.5v3h3a.5.5 0 0 1 0 1h-3v3a.5.5 0 0 1-1 0v-3h-3a.5.5 0 0 1 0-1h3v-3a.5.5 0 0 1 1 0z"/>
|
| 296 |
+
</svg>
|
| 297 |
+
Nuevo
|
| 298 |
+
</button>
|
| 299 |
+
<h2>Chat</h2>
|
| 300 |
+
</div>
|
| 301 |
+
<div class="chat-body" id="chat-messages">
|
| 302 |
+
</div>
|
| 303 |
+
<div class="input-area">
|
| 304 |
+
<input type="text" class="input-field" placeholder="Escribe tu mensaje...">
|
| 305 |
+
<button class="send-button" id="send-button">Enviar</button>
|
| 306 |
+
</div>
|
| 307 |
+
</div>
|
| 308 |
+
|
| 309 |
+
<script>
|
| 310 |
+
const chatMessages = document.getElementById('chat-messages');
|
| 311 |
+
const inputField = document.querySelector('.input-field');
|
| 312 |
+
const sendButton = document.getElementById('send-button');
|
| 313 |
+
const chatList = document.getElementById('chat-list');
|
| 314 |
+
const newChatButtonSidebar = document.getElementById('new-chat-button');
|
| 315 |
+
const newChatButtonHeader = document.getElementById('new-conversation-header-button');
|
| 316 |
+
|
| 317 |
+
let chatHistory = [];
|
| 318 |
+
let currentChat = [];
|
| 319 |
+
|
| 320 |
+
// --- URL de tu servidor backend ---
|
| 321 |
+
// AsegΓΊrate de que esta URL coincida con la direcciΓ³n y el puerto donde se ejecuta tu app.py
|
| 322 |
+
const BACKEND_URL = 'http://127.0.0.1:5000/chat';
|
| 323 |
+
|
| 324 |
+
// FunciΓ³n para aΓ±adir un solo mensaje al chat
|
| 325 |
+
function addMessageToChat(msg) {
|
| 326 |
+
const messageContainer = document.createElement('div');
|
| 327 |
+
if (msg.sender === 'user') {
|
| 328 |
+
messageContainer.classList.add('user-message-container');
|
| 329 |
+
const userMessageDiv = document.createElement('div');
|
| 330 |
+
userMessageDiv.classList.add('user-message');
|
| 331 |
+
userMessageDiv.textContent = msg.text;
|
| 332 |
+
messageContainer.appendChild(userMessageDiv);
|
| 333 |
+
} else if (msg.sender === 'ai') {
|
| 334 |
+
const aiMessageDiv = document.createElement('div');
|
| 335 |
+
aiMessageDiv.classList.add('message');
|
| 336 |
+
aiMessageDiv.textContent = msg.text;
|
| 337 |
+
messageContainer.appendChild(aiMessageDiv);
|
| 338 |
+
} else if (msg.sender === 'error') {
|
| 339 |
+
const errorMessageDiv = document.createElement('div');
|
| 340 |
+
errorMessageDiv.classList.add('error-message');
|
| 341 |
+
errorMessageDiv.textContent = msg.text;
|
| 342 |
+
messageContainer.appendChild(errorMessageDiv);
|
| 343 |
+
}
|
| 344 |
+
chatMessages.appendChild(messageContainer);
|
| 345 |
+
scrollToBottom();
|
| 346 |
+
}
|
| 347 |
+
|
| 348 |
+
// Esta funciΓ³n se usa para cargar un historial completo (ej. al seleccionar un chat de la lista)
|
| 349 |
+
function displayChat(messages) {
|
| 350 |
+
chatMessages.innerHTML = ''; // Vaciar todo antes de cargar el historial
|
| 351 |
+
messages.forEach(msg => {
|
| 352 |
+
const messageContainer = document.createElement('div');
|
| 353 |
+
if (msg.sender === 'user') {
|
| 354 |
+
messageContainer.classList.add('user-message-container');
|
| 355 |
+
const userMessageDiv = document.createElement('div');
|
| 356 |
+
userMessageDiv.classList.add('user-message');
|
| 357 |
+
userMessageDiv.textContent = msg.text;
|
| 358 |
+
messageContainer.appendChild(userMessageDiv);
|
| 359 |
+
} else if (msg.sender === 'ai') {
|
| 360 |
+
const aiMessageDiv = document.createElement('div');
|
| 361 |
+
aiMessageDiv.classList.add('message');
|
| 362 |
+
aiMessageDiv.textContent = msg.text;
|
| 363 |
+
messageContainer.appendChild(aiMessageDiv);
|
| 364 |
+
} else if (msg.sender === 'error') {
|
| 365 |
+
const errorMessageDiv = document.createElement('div');
|
| 366 |
+
errorMessageDiv.classList.add('error-message');
|
| 367 |
+
errorMessageDiv.textContent = msg.text;
|
| 368 |
+
messageContainer.appendChild(errorMessageDiv);
|
| 369 |
+
}
|
| 370 |
+
chatMessages.appendChild(messageContainer);
|
| 371 |
+
});
|
| 372 |
+
scrollToBottom();
|
| 373 |
+
}
|
| 374 |
+
|
| 375 |
+
function updateChatList() {
|
| 376 |
+
chatList.innerHTML = '';
|
| 377 |
+
chatHistory.forEach((chat, index) => {
|
| 378 |
+
const listItem = document.createElement('li');
|
| 379 |
+
listItem.textContent = chat.name.substring(0, 22) + (chat.name.length > 22 ? '...' : '');
|
| 380 |
+
listItem.addEventListener('click', () => {
|
| 381 |
+
currentChat = chat.messages;
|
| 382 |
+
displayChat(currentChat);
|
| 383 |
+
});
|
| 384 |
+
chatList.appendChild(listItem);
|
| 385 |
+
});
|
| 386 |
+
}
|
| 387 |
+
|
| 388 |
+
function saveChat(firstUserMessage) {
|
| 389 |
+
if (currentChat.length > 0 && firstUserMessage) {
|
| 390 |
+
const chatName = firstUserMessage.substring(0, 25);
|
| 391 |
+
if (!chatHistory.some(chat => chat.messages === currentChat) && currentChat.length > 1) {
|
| 392 |
+
chatHistory.unshift({ name: chatName, messages: [...currentChat] });
|
| 393 |
+
updateChatList();
|
| 394 |
+
}
|
| 395 |
+
}
|
| 396 |
+
}
|
| 397 |
+
|
| 398 |
+
function startNewChat() {
|
| 399 |
+
if (currentChat.length > 1 && currentChat[0].sender === 'ai' && currentChat[1].sender === 'user') {
|
| 400 |
+
saveChat(currentChat[1].text);
|
| 401 |
+
}
|
| 402 |
+
currentChat = [{ sender: 'ai', text: 'Bienvenido a Amside AI. Estoy aquοΏ½οΏ½ para ayudarte. ΒΏQuΓ© te gustarΓa saber?' }];
|
| 403 |
+
displayChat(currentChat);
|
| 404 |
+
}
|
| 405 |
+
|
| 406 |
+
sendButton.addEventListener('click', async () => {
|
| 407 |
+
const messageText = inputField.value.trim();
|
| 408 |
+
if (messageText === '') {
|
| 409 |
+
return;
|
| 410 |
+
}
|
| 411 |
+
|
| 412 |
+
const isFirstUserMessageInChat = currentChat.length === 1 && currentChat[0].sender === 'ai';
|
| 413 |
+
|
| 414 |
+
const userMessage = { sender: 'user', text: messageText };
|
| 415 |
+
currentChat.push(userMessage);
|
| 416 |
+
|
| 417 |
+
const userMessageContainer = document.createElement('div');
|
| 418 |
+
userMessageContainer.classList.add('user-message-container');
|
| 419 |
+
const userMessageDiv = document.createElement('div');
|
| 420 |
+
userMessageDiv.classList.add('user-message');
|
| 421 |
+
userMessageDiv.textContent = userMessage.text;
|
| 422 |
+
userMessageContainer.appendChild(userMessageDiv);
|
| 423 |
+
|
| 424 |
+
const loadingIndicator = document.createElement('div');
|
| 425 |
+
loadingIndicator.classList.add('loading-indicator');
|
| 426 |
+
loadingIndicator.innerHTML = '<div class="loading-spinner"></div> Procesando...';
|
| 427 |
+
userMessageContainer.appendChild(loadingIndicator);
|
| 428 |
+
|
| 429 |
+
chatMessages.appendChild(userMessageContainer);
|
| 430 |
+
scrollToBottom();
|
| 431 |
+
|
| 432 |
+
inputField.value = '';
|
| 433 |
+
|
| 434 |
+
try {
|
| 435 |
+
// Preparamos los mensajes en el formato que espera el backend de Python
|
| 436 |
+
// (que a su vez los prepara para Hugging Face)
|
| 437 |
+
const messagesForBackend = currentChat.map(msg => ({
|
| 438 |
+
role: msg.sender === 'user' ? 'user' : 'assistant',
|
| 439 |
+
content: msg.text
|
| 440 |
+
}));
|
| 441 |
+
|
| 442 |
+
const response = await fetch(BACKEND_URL, {
|
| 443 |
+
method: 'POST',
|
| 444 |
+
headers: {
|
| 445 |
+
'Content-Type': 'application/json',
|
| 446 |
+
},
|
| 447 |
+
body: JSON.stringify({ messages: messagesForBackend }),
|
| 448 |
+
});
|
| 449 |
+
|
| 450 |
+
if (!response.ok) {
|
| 451 |
+
const errorData = await response.json();
|
| 452 |
+
throw new Error(errorData.error || `HTTP error! status: ${response.status}`);
|
| 453 |
+
}
|
| 454 |
+
|
| 455 |
+
const data = await response.json();
|
| 456 |
+
const aiResponseText = data.response; // La respuesta de la IA viene en 'response'
|
| 457 |
+
|
| 458 |
+
const aiResponse = { sender: 'ai', text: aiResponseText };
|
| 459 |
+
currentChat.push(aiResponse);
|
| 460 |
+
|
| 461 |
+
if (loadingIndicator && userMessageContainer.contains(loadingIndicator)) {
|
| 462 |
+
loadingIndicator.remove();
|
| 463 |
+
}
|
| 464 |
+
|
| 465 |
+
addMessageToChat(aiResponse);
|
| 466 |
+
|
| 467 |
+
if (isFirstUserMessageInChat) {
|
| 468 |
+
saveChat(messageText);
|
| 469 |
+
}
|
| 470 |
+
|
| 471 |
+
} catch (error) {
|
| 472 |
+
console.error("Error al obtener respuesta de la IA (backend):", error);
|
| 473 |
+
if (loadingIndicator && userMessageContainer.contains(loadingIndicator)) {
|
| 474 |
+
loadingIndicator.remove();
|
| 475 |
+
}
|
| 476 |
+
const errorMessage = { sender: 'error', text: `Lo siento, hubo un error al conectar con la IA. AsegΓΊrate de que el servidor estΓ‘ corriendo. Detalle: ${error.message}` };
|
| 477 |
+
currentChat.push(errorMessage);
|
| 478 |
+
addMessageToChat(errorMessage);
|
| 479 |
+
}
|
| 480 |
+
});
|
| 481 |
+
|
| 482 |
+
inputField.addEventListener('keypress', (event) => {
|
| 483 |
+
if (event.key === 'Enter') {
|
| 484 |
+
sendButton.click();
|
| 485 |
+
}
|
| 486 |
+
});
|
| 487 |
+
|
| 488 |
+
newChatButtonSidebar.addEventListener('click', startNewChat);
|
| 489 |
+
newChatButtonHeader.addEventListener('click', startNewChat);
|
| 490 |
+
|
| 491 |
+
function scrollToBottom() {
|
| 492 |
+
chatMessages.scrollTop = chatMessages.scrollHeight;
|
| 493 |
+
}
|
| 494 |
+
|
| 495 |
+
// Inicializar al cargar la pΓ‘gina
|
| 496 |
+
startNewChat();
|
| 497 |
+
updateChatList();
|
| 498 |
+
</script>
|
| 499 |
+
</body>
|
| 500 |
+
</html>
|
requirements.txt
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
absl-py==2.2.2
|
| 2 |
+
annotated-types==0.7.0
|
| 3 |
+
astunparse==1.6.3
|
| 4 |
+
attrs==25.3.0
|
| 5 |
+
blinker==1.9.0
|
| 6 |
+
certifi==2025.1.31
|
| 7 |
+
charset-normalizer==3.4.1
|
| 8 |
+
click==8.1.8
|
| 9 |
+
colorama==0.4.6
|
| 10 |
+
distro==1.9.0
|
| 11 |
+
filelock==3.18.0
|
| 12 |
+
Flask==3.1.0
|
| 13 |
+
flask-cors==5.0.1
|
| 14 |
+
flatbuffers==25.2.10
|
| 15 |
+
fsspec==2025.3.2
|
| 16 |
+
gast==0.6.0
|
| 17 |
+
google-pasta==0.2.0
|
| 18 |
+
grpcio==1.71.0
|
| 19 |
+
h11==0.14.0
|
| 20 |
+
h5py==3.13.0
|
| 21 |
+
huggingface-hub==0.30.2
|
| 22 |
+
idna==3.10
|
| 23 |
+
itsdangerous==2.2.0
|
| 24 |
+
Jinja2==3.1.6
|
| 25 |
+
jiter==0.9.0
|
| 26 |
+
keras==3.9.2
|
| 27 |
+
libclang==18.1.1
|
| 28 |
+
lxml==5.3.2
|
| 29 |
+
Markdown==3.8
|
| 30 |
+
markdown-it-py==3.0.0
|
| 31 |
+
MarkupSafe==3.0.2
|
| 32 |
+
mdurl==0.1.2
|
| 33 |
+
ml_dtypes==0.5.1
|
| 34 |
+
mpmath==1.3.0
|
| 35 |
+
namex==0.0.8
|
| 36 |
+
networkx==3.4.2
|
| 37 |
+
numpy==2.1.3
|
| 38 |
+
opt_einsum==3.4.0
|
| 39 |
+
optree==0.15.0
|
| 40 |
+
packaging==25.0
|
| 41 |
+
pillow==11.2.1
|
| 42 |
+
prompt_toolkit==3.0.51
|
| 43 |
+
protobuf==5.29.4
|
| 44 |
+
pycryptodomex==3.22.0
|
| 45 |
+
Pygments==2.19.1
|
| 46 |
+
python-dotenv==1.1.0
|
| 47 |
+
pytz==2025.2
|
| 48 |
+
PyYAML==6.0.2
|
| 49 |
+
regex==2024.11.6
|
| 50 |
+
requests==2.32.3
|
| 51 |
+
rich==14.0.0
|
| 52 |
+
rpds-py==0.24.0
|
| 53 |
+
safetensors==0.5.3
|
| 54 |
+
scipy==1.15.2
|
| 55 |
+
setuptools==79.0.0
|
| 56 |
+
six==1.17.0
|
| 57 |
+
sniffio==1.3.1
|
| 58 |
+
sympy==1.13.1
|
| 59 |
+
tensorboard==2.19.0
|
| 60 |
+
tensorboard-data-server==0.7.2
|
| 61 |
+
tensorflow==2.19.0
|
| 62 |
+
termcolor==3.0.1
|
| 63 |
+
tf_keras==2.19.0
|
| 64 |
+
tiktoken==0.9.0
|
| 65 |
+
tokenizers==0.21.1
|
| 66 |
+
torch==2.6.0
|
| 67 |
+
tqdm==4.67.1
|
| 68 |
+
transformers==4.52.3
|
| 69 |
+
typing-inspection==0.4.0
|
| 70 |
+
typing_extensions==4.13.2
|
| 71 |
+
tzdata==2025.2
|
| 72 |
+
urllib3==2.4.0
|
| 73 |
+
wcwidth==0.2.13
|
| 74 |
+
Werkzeug==3.1.3
|
| 75 |
+
wheel==0.45.1
|
| 76 |
+
wrapt==1.17.2
|