Añadiendo app.py con código del chatbot

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Cargar modelo Qwen2.5
+model_name = "Qwen/Qwen2.5-7B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
+
+# Función de respuesta
+def chat(message):
+    inputs = tokenizer(message, return_tensors="pt").to("cuda")
+    output = model.generate(**inputs, max_new_tokens=50)
+    return tokenizer.decode(output[0], skip_special_tokens=True)
+
+# Interfaz Gradio
+iface = gr.Interface(fn=chat, inputs="text", outputs="text", title="Chat con Qwen2.5")
+iface.launch()