Upload 4 files

.huggingface.yml

@@ -1,6 +1,13 @@
 
-# Archivo de configuración para Hugging Face Spaces
+---
 title: Asistente Cuántico para PYMES
+emoji: ⚛️
+colorFrom: indigo
+colorTo: purple
 sdk: streamlit
-python_version: 3.10
+sdk_version: "1.34.0"
 app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Dockerfile

@@ -1,26 +1,20 @@
 
-# Imagen base ligera con Python
 FROM python:3.10-slim
 
-# Variables de entorno para Streamlit
 ENV PYTHONUNBUFFERED=1
 ENV STREAMLIT_PORT=7860
 ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
 
-# Crear directorio de trabajo
 WORKDIR /app
 
-# Copiar archivos
 COPY requirements.txt ./
 COPY asistente_cuantico_pymes_app.py ./app.py
 COPY README.md ./
+COPY .huggingface.yml ./
 
-# Instalar dependencias
 RUN pip install --upgrade pip \
     && pip install --no-cache-dir -r requirements.txt
 
-# Puerto para Hugging Face Spaces
 EXPOSE 7860
 
-# Comando de inicio
 CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.enableCORS=false"]

asistente_cuantico_pymes_app.py

@@ -1,12 +1,11 @@
 
 import streamlit as st
-from langchain.llms import HuggingFaceHub
+from langchain_community.llms import HuggingFaceHub
 from langchain.chains import LLMChain
 from langchain.prompts import PromptTemplate
 import pandas as pd
-from qiskit import QuantumCircuit, execute
-from qiskit_aer import Aer
-
+from qiskit import QuantumCircuit, transpile
+from qiskit_aer import AerSimulator
 
 # Cargar datos financieros/operativos
 def load_data(uploaded_file):
@@ -19,9 +18,9 @@ def run_quantum_logic():
     qc = QuantumCircuit(1, 1)
     qc.h(0)
     qc.measure(0, 0)
-    backend = Aer.get_backend('qasm_simulator')
-    job = execute(qc, backend, shots=1024)
-    result = job.result().get_counts()
+    simulator = AerSimulator()
+    compiled_circuit = transpile(qc, simulator)
+    result = simulator.run(compiled_circuit, shots=1024).result().get_counts()
     return result
 
 # Configurar LLM con Hugging Face (puedes usar local más adelante)

requirements.txt

@@ -1,11 +1,12 @@
+
 streamlit
 langchain
-langchain_community
+langchain-community
 openai
 transformers
 accelerate
 qiskit
+qiskit-aer
+qiskit-ibm-runtime
 pandas
 huggingface_hub
-qiskit-aer
-