Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Cargar el modelo y el tokenizer
+model_id = "meta-llama/Llama-3.2-1B"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Crear la interfaz de Gradio
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Llama-3.2-1B Model")
+iface.launch()