a

app.py

@@ -1,15 +1,7 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Created on Thu Apr 17 20:18:35 2025
-
-@author: rick
-"""
-
 import gradio as gr
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 
-model_id = "mistralai/Mistral-7B-Instruct-v0.1"
+model_id = "HuggingFaceH4/zephyr-7b-alpha"  # ✅ sin restricciones
 
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(
@@ -23,7 +15,7 @@ pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
 def generar_commit(diff):
     prompt = f"Escribí un mensaje de commit claro, corto y técnico basado en los siguientes cambios:\n{diff}"
     output = pipe(prompt, max_new_tokens=60, do_sample=True, temperature=0.7)
-    return [output[0]["generated_text"]]  # <-- esta línea es clave
+    return [output[0]["generated_text"]]
 
 demo = gr.Interface(
     fn=generar_commit,