update login

app.py

@@ -3,8 +3,10 @@ import torch
 from huggingface_hub import login
 import spaces
 import gradio as gr
+import os
 
-login()
+token = os.environ.get("HF_TOKEN_READ")
+login(token)
 
 model_id = "meta-llama/Meta-Llama-3.1-8B-Instruct"
 model = AutoModelForCausalLM.from_pretrained(
@@ -69,15 +71,15 @@ def respuesta(
         yield response
 
 
-    demo = gr.ChatInterface(
-        respuesta,
-        additional_inputs=[
-            gr.Textbox(value="Eres un chatbot amigable", label="System messaage"),
-            gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-            gr.Slider(minimum=0.1, maximum=4, value=0.7, step=0.1, label="Temperature"),
-            gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),            
-        ]
-    )
+demo = gr.ChatInterface(
+    respuesta,
+    additional_inputs=[
+        gr.Textbox(value="Eres un chatbot amigable", label="System messaage"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),            
+    ]
+)
 
-    if __name__ == "__main__":
-        demo.launch()
+if __name__ == "__main__":
+    demo.launch()