import os

# コマンドを実行する
os.system("pip install transformers torch")

# コマンドの実行結果を取得する（stdoutとstderrは出力されない）
result = os.system("pip install transformers")



from transformers import AutoModel, AutoTokenizer, trainer_utils
import gradio as gr

device = "cpu"
model = AutoModel.from_pretrained("Tanrei/GPTSAN-japanese").to(device)
tokenizer = AutoTokenizer.from_pretrained("Tanrei/GPTSAN-japanese")
trainer_utils.set_seed(30)

def generate_text(input_text):
    x_token = tokenizer("", prefix_text=input_text, return_tensors="pt")
    input_ids = x_token.input_ids.to(device)
    token_type_ids = x_token.token_type_ids.to(device)
    gen_token = model.generate(input_ids, token_type_ids=token_type_ids, max_new_tokens=50)
    output_text = tokenizer.decode(gen_token[0])
    return output_text

input_text = gr.inputs.Textbox(label="入力")
button = gr.inputs.Button(label="Submit")
output_text = gr.outputs.Textbox(label="出力")

interface = gr.Interface(
    fn=generate_text,
    input_text="text",
    output_text="text",
    title="Japanese Text Generation",
    description="Enter a prompt in Japanese to generate text.")
interface.launch()