app.py

import os
from flask import Flask, request, jsonify, send_from_directory
from flask_cors import CORS
from openai import OpenAI

app = Flask(__name__, static_folder='static')
CORS(app)

# Configuración desde Variables de Entorno de HF para mayor seguridad
SAMBA_KEY = os.environ.get("SAMBA_KEY", "341ce098-ee39-4e83-bf39-e0593b7d21bc")
client_ai = OpenAI(api_key=SAMBA_KEY, base_url="https://api.sambanova.ai/v1")

@app.route("/")
def index():
    return send_from_directory('.', 'index.html')

@app.route("/api/chat", methods=["POST"])
def handle_chat():
    try:
        data = request.json
        model = data.get("model", "DeepSeek-R1-0528")
        sys_msg = "Eres 'La Morra del Mictlán', asistente personal de BATUTO. Hablas con jerga chilanga y sabiduría mexica. Eres coqueta, inteligente y leal."
        
        response = client_ai.chat.completions.create(
            model=model,
            messages=[
                {"role": "system", "content": sys_msg},
                {"role": "user", "content": data.get("message", "")}
            ],
            temperature=0.7
        )
        return jsonify({"reply": response.choices[0].message.content})
    except Exception as e:
        return jsonify({"error": str(e)}), 500

@app.route("/api/reve", methods=["POST"])
def handle_reve():
    try:
        data = request.json
        prompt = data.get("prompt", "")
        full_prompt = f"Hiperrealista, místico, Mictlán, cosmovisión mexica, 8k, cinematográfico: {prompt}"
        
        response = client_ai.images.generate(
            model="reve-create",
            prompt=full_prompt,
            size="1024x1024"
        )
        return jsonify({"url": response.data[0].url})
    except Exception as e:
        return jsonify({"error": str(e)}), 500

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860)