Update app.py

app.py

@@ -1,7 +1,26 @@
 import gradio as gr
+from transformers import AutoModelForTokenClassification, AutoTokenizer
+import torch
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Cargar el modelo y el tokenizador
+model_name = "EmergentMethods/gliner_medium_news-v2.1"
+model = AutoModelForTokenClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+def predict(text):
+    inputs = tokenizer(text, return_tensors="pt")
+
+    # Realizar la inferencia
+    with torch.no_grad():
+        outputs = model(**inputs)
+
+    logits = outputs.logits
+    predictions = torch.argmax(logits, dim=2)
+
+    id2label = model.config.id2label
+    tokens = tokenizer.convert_ids_to_tokens(inputs["input_ids"][0])
+    entities = [{"token": token, "label": id2label[prediction.item()]} for token, prediction in zip(tokens, predictions[0])]
+    return entities
+
+demo = gr.Interface(fn=predict, inputs="text", outputs="json")
 demo.launch()