CoolFace
Datasetpublic

ysn-rfd/text-dataset-tiny-code-script-py-format

USED of tahamajs/medicine_ds_persian for .parquet file USED of Alijafarixcs2/persian-it-llama2-2k for .parquet file USED of Abirate/english_quotes for .jsonl file NEW FILES (05/12/2025) NEW FILES (12/26/2025) NEW FILES (02/15/2026)

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face
3likes1.6kdownloads
telegram_gemini3.py57 linesDownload Raw Back to python
1import asyncio2import aiohttp3from telegram import Update4from telegram.ext import ApplicationBuilder, MessageHandler, ContextTypes, filters5import logging6 7BOT_TOKEN = ""8LLAMA_API_URL = "http://127.0.0.1:8080/completion"9 10logging.basicConfig(11    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO12)13 14# گرفتن پاسخ از LLaMA با timeout بلند و مدیریت خطا15async def get_llama_response(prompt: str) -> str:16    system_prompt = f"User: {prompt}\nAssistant:"17    payload = {18        "prompt": system_prompt,19        "max_tokens": 60,20        "temperature": 0.5,21        "stop": ["</s>", "User:"]22    }23    try:24        timeout = aiohttp.ClientTimeout(total=120)  # افزایش timeout به 30 ثانیه25        async with aiohttp.ClientSession(timeout=timeout) as session:26            async with session.post(LLAMA_API_URL, json=payload) as resp:27                if resp.status == 200:28                    data = await resp.json()29                    return data.get("content", "").strip() or "❔ مدل پاسخی نداد."30                else:31                    text = await resp.text()32                    logging.error(f"خطای مدل: {resp.status} - {text}")33                    return f"❌ خطا از مدل ({resp.status}):\n{text}"34    except asyncio.TimeoutError:35        return "⏱️ مدل دیر پاسخ داد (بیش از ۳۰ ثانیه)."36    except aiohttp.ClientConnectionError:37        return "🔌 اتصال به مدل برقرار نشد."38    except Exception as e:39        logging.exception("خطای کلی:")40        return f"⚠️ خطای غیرمنتظره: {str(e)}"41 42async def handle_command(update: Update, context: ContextTypes.DEFAULT_TYPE):43    message = update.message44    if message and message.text and "/gemma" in message.text.lower():45        prompt = message.text.replace("/gemma", "").strip()46        await message.chat.send_action("typing")47        response = await get_llama_response(prompt)48        await message.reply_text(response)49 50def main():51    app = ApplicationBuilder().token(BOT_TOKEN).build()52    app.add_handler(MessageHandler(filters.COMMAND, handle_command))53    app.run_polling()54 55if __name__ == "__main__":56    main()57