app.py

import gradio as gr
import pandas as pd
import tempfile
import os
import requests

# OpenAI API キーを設定する
OPENAI_API_KEY = "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"  # ここにあなたのOpenAI API キーを入力してください

def process_csv(csv_file):
    # CSVファイルを読み込む
    df = pd.read_csv(csv_file.name)

    # ChatGPT API に入力を送信し、出力を取得
    outputs = []
    for _, row in df.iterrows():
        id = row['id']
        input_text = row['input']
        
        # ChatGPT API を直接呼び出す
        headers = {
            "Content-Type": "application/json",
            "Authorization": f"Bearer {OPENAI_API_KEY}"
        }
        data = {
            "model": "gpt-3.5-turbo",
            "messages": [{"role": "user", "content": input_text}]
        }
        response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=data)
        response_json = response.json()
        output_text = response_json["choices"][0]["message"]["content"]
        
        outputs.append({'id': id, 'output': output_text})

    # 出力をCSVファイルに書き込む
    output_df = pd.DataFrame(outputs)
    with tempfile.NamedTemporaryFile(delete=False, suffix='.csv') as tmp:
        output_df.to_csv(tmp.name, index=False)
        output_path = tmp.name

    # ファイル名を変更
    new_path = os.path.join(os.path.dirname(output_path), "output.csv")
    os.rename(output_path, new_path)

    return new_path

interface = gr.Interface(
    fn=process_csv,
    inputs=gr.File(label="CSVファイルをアップロード"),
    outputs=gr.File(label="ダウンロード", file_count="singular"),
    allow_flagging="never",

)

interface.launch(share=True)