Datasets:
Download runs/python/bot.py from ysn-rfd/text-dataset-tiny-code-script-py-format: direct link, hf CLI and curl.
- Browser
- Download file 829 Bytes
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https://huggingface.co/datasets/ysn-rfd/text-dataset-tiny-code-script-py-format/resolve/434712e60b875bc8b2fe2fc319cc5fae28efbbef/runs/python/bot.py
- Command line
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hf download hf://datasets/ysn-rfd/text-dataset-tiny-code-script-py-format@434712e60b875bc8b2fe2fc319cc5fae28efbbef/runs/python/bot.py
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curl -L -o bot.py https://huggingface.co/datasets/ysn-rfd/text-dataset-tiny-code-script-py-format/resolve/434712e60b875bc8b2fe2fc319cc5fae28efbbef/runs/python/bot.py
829 Bytes
| # bot.py | |
| from telegram import Update | |
| from telegram.ext import ApplicationBuilder, MessageHandler, filters, ContextTypes | |
| import openai | |
| from openai import OpenAI | |
| import config | |
| client = OpenAI(api_key=config.OPENAI_API_KEY) | |
| async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE): | |
| user_message = update.message.text | |
| response = client.chat.completions.create( | |
| model="gpt-3.5-turbo", | |
| messages=[ | |
| {"role": "user", "content": user_message} | |
| ] | |
| ) | |
| reply = response.choices[0].message.content | |
| await update.message.reply_text(reply) | |
| # راهاندازی ربات | |
| app = ApplicationBuilder().token(config.TELEGRAM_BOT_TOKEN).build() | |
| app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message)) | |
| app.run_polling() | |