app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load your model
tokenizer = AutoTokenizer.from_pretrained("colorfulscoop/gpt2-small-ja")
model = AutoModelForCausalLM.from_pretrained("colorfulscoop/gpt2-small-ja")

# Function to generate AI response
def generate(text):
    inputs = tokenizer(text, return_tensors="pt")
    outputs = model.generate(**inputs, max_new_tokens=50)
    return tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])

# Gradio interface
iface = gr.Interface(
    fn=generate,
    inputs="text",
    outputs="text",
    title="Japanese GPT-2 Chatbot",
    description="Type a message in Japanese and get a response."
)

iface.launch()