app.py

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

model_name = "cyberagent/open-calm-1b"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

pipe = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    max_new_tokens=100,
    do_sample=True,
    temperature=0.7
)

def chat(history, user_input):
    response = pipe(user_input)[0]["generated_text"]
    history.append((user_input, response))
    return history, ""

with gr.Blocks() as demo:
    gr.Markdown("## 日本語文章の要約・質問チャット（超軽量版）")
    chatbot = gr.Chatbot(height=500)
    text_input = gr.Textbox(label="文章を入力してください")

    text_input.submit(chat, [chatbot, text_input], [chatbot, text_input])

demo.launch()