Create app.py

app.py

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+import gradio as gr
+from gliner import GLiNER
+
+# Cargar el modelo
+model = GLiNER.from_pretrained("EmergentMethods/gliner_medium_news-v2.1")
+
+# Función para predecir entidades
+def predict_entities(text):
+    labels = ["person", "location", "date", "event", "facility", "vehicle", "number", "organization"]
+    entities = model.predict_entities(text, labels)
+    return entities
+
+# Definir la función de API
+def api_function(text):
+    entities = predict_entities(text)
+    return entities
+
+# Configurar la interfaz Gradio
+iface = gr.Interface(fn=api_function, inputs="text", outputs="json")
+iface.launch(share=True)