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import os
import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
HF_TOKEN = os.environ.get("HF_TOKEN")
MODEL = "google/gemma-3-270m"
tokenizer = AutoTokenizer.from_pretrained(MODEL, token=HF_TOKEN)
model = AutoModelForCausalLM.from_pretrained(MODEL, token=HF_TOKEN)
def chat(message):
inputs = tokenizer(message, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=128)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
return response
gr.Interface(
fn=chat,
inputs="text",
outputs="text",
title="Gemma 3 (270M)"
).launch()
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