Update app.py

app.py

@@ -1,9 +1,11 @@
-import gradio as gr
+ import gradio as gr
 from fastapi import FastAPI
 from pydantic import BaseModel
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 import torch
+from threading import Thread
 import uvicorn
+import requests
 
 # Configurar FastAPI
 app = FastAPI()
@@ -38,6 +40,13 @@ async def predict(input: TextInput):
     
     return {"entities": entities}
 
+# Iniciar el servidor de FastAPI en un hilo separado
+def start_api():
+    uvicorn.run(app, host="0.0.0.0", port=8000)
+
+api_thread = Thread(target=start_api, daemon=True)
+api_thread.start()
+
 # Configurar Gradio
 def predict_gradio(text):
     response = requests.post("http://localhost:8000/predict", json={"text": text})
@@ -45,8 +54,4 @@ def predict_gradio(text):
     return entities
 
 demo = gr.Interface(fn=predict_gradio, inputs="text", outputs="json")
-demo.launch(share=True)
-
-# Iniciar el servidor de FastAPI
-if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=8000)
+demo.launch(share=True)