Update app.py

app.py

@@ -4,14 +4,18 @@ warnings.simplefilter(action='ignore', category=FutureWarning)
 import PyPDF2
 import gradio as gr
 from langchain.prompts import PromptTemplate
+from langchain.chains.summarize import load_summarize_chain
+from huggingface_hub import login
 from pathlib import Path
 from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint
-from huggingface_hub import login
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
-import os
 
-login(token=os.getenv('HUGGINGFACE_TOKEN'))
+huggingface_token = os.getenv('HUGGINGFACE_TOKEN')
+
+# Realizar el inicio de sesión de Hugging Face solo si el token está disponible
+if huggingface_token:
+    login(token=huggingface_token)
 
 # Configuración del modelo de resumen
 llm = HuggingFaceEndpoint(
@@ -168,4 +172,4 @@ with gr.Blocks() as demo:
     )
 
 # Ejecutar la aplicación Gradio
-demo.launch(share=True)
+demo.launch(share=True)