Update app.py

app.py

@@ -3,9 +3,7 @@ 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()
@@ -40,6 +38,15 @@ async def predict(input: TextInput):
     
     return {"entities": entities}
 
+# Configurar Gradio
+def predict_gradio(text):
+    response = requests.post("http://localhost:8000/predict", json={"text": text})
+    entities = response.json().get("entities", [])
+    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)
+    uvicorn.run(app, host="0.0.0.0", port=8000)