from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
import gradio as gr

model_id = "Hodely/AmInSide1.0"  # Reemplaza con tu repo real

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)

def chat(user_input):
    result = pipe(user_input, max_new_tokens=200, temperature=0.7, do_sample=True)
    return result[0]['generated_text']

gr.Interface(fn=chat, inputs="text", outputs="text", title="🧠 AmInSide1.0").launch()