🔥 Trending Repository: MineContext
📝 Description: MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
🔗 Repository URL: https://github.com/volcengine/MineContext
📖 Readme: https://github.com/volcengine/MineContext#readme
📊 Statistics:
🌟 Stars: 1.6K stars
👀 Watchers: 12
🍴 Forks: 72 forks
💻 Programming Languages: Python - HTML - JavaScript - CSS
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
🔗 Repository URL: https://github.com/volcengine/MineContext
📖 Readme: https://github.com/volcengine/MineContext#readme
📊 Statistics:
🌟 Stars: 1.6K stars
👀 Watchers: 12
🍴 Forks: 72 forks
💻 Programming Languages: Python - HTML - JavaScript - CSS
🏷️ Related Topics:
#electron #react #python #agent #memory #python3 #embedding_models #rag #vector_database #vision_language_model #proactive_ai #context_engineering
==================================
🧠 By: https://t.iss.one/DataScienceM
❤1
Forwarded from Data Science Machine Learning Data Analysis
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automation—master this to create viral tools and ace full-stack interviews! 🤖
Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots
https://t.iss.one/DataScienceM🦾
# Basic Bot Setup - The foundation (PTB v20+ Async)
from telegram.ext import Application, CommandHandler, MessageHandler, filters
async def start(update, context):
await update.message.reply_text(
"✨ AI Image Bot Active!\n"
"/generate - Create images from text\n"
"/enhance - Improve photo quality\n"
"/help - Full command list"
)
app = Application.builder().token("YOUR_BOT_TOKEN").build()
app.add_handler(CommandHandler("start", start))
app.run_polling()
# Image Generation - DALL-E Integration (OpenAI)
import openai
from telegram.ext import ContextTypes
openai.api_key = os.getenv("OPENAI_API_KEY")
async def generate(update: Update, context: ContextTypes.DEFAULT_TYPE):
if not context.args:
await update.message.reply_text("❌ Usage: /generate cute robot astronaut")
return
prompt = " ".join(context.args)
try:
response = openai.Image.create(
prompt=prompt,
n=1,
size="1024x1024"
)
await update.message.reply_photo(
photo=response['data'][0]['url'],
caption=f"🎨 Generated: *{prompt}*",
parse_mode="Markdown"
)
except Exception as e:
await update.message.reply_text(f"🔥 Error: {str(e)}")
app.add_handler(CommandHandler("generate", generate))
Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots
#Python #TelegramBot #AI #ImageGeneration #StableDiffusion #OpenAI #MachineLearning #CodingInterview #FullStack #Chatbots #DeepLearning #ComputerVision #Programming #TechJobs #DeveloperTips #CareerGrowth #CloudComputing #Docker #APIs #Python3 #Productivity #TechTips
https://t.iss.one/DataScienceM
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❤4
🔥 Trending Repository: MONAI
📝 Description: AI Toolkit for Healthcare Imaging
🔗 Repository URL: https://github.com/Project-MONAI/MONAI
🌐 Website: https://monai.io/
📖 Readme: https://github.com/Project-MONAI/MONAI#readme
📊 Statistics:
🌟 Stars: 7K stars
👀 Watchers: 95
🍴 Forks: 1.3K forks
💻 Programming Languages: Python - C++ - Cuda
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: AI Toolkit for Healthcare Imaging
🔗 Repository URL: https://github.com/Project-MONAI/MONAI
🌐 Website: https://monai.io/
📖 Readme: https://github.com/Project-MONAI/MONAI#readme
📊 Statistics:
🌟 Stars: 7K stars
👀 Watchers: 95
🍴 Forks: 1.3K forks
💻 Programming Languages: Python - C++ - Cuda
🏷️ Related Topics:
#deep_learning #python3 #pytorch #medical_image_computing #medical_image_processing #healthcare_imaging #monai
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: BettaFish
📝 Description: 微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
🔗 Repository URL: https://github.com/666ghj/BettaFish
📖 Readme: https://github.com/666ghj/BettaFish#readme
📊 Statistics:
🌟 Stars: 2.1K stars
👀 Watchers:
🍴 Forks: 295 forks
💻 Programming Languages: Python - HTML
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: 微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
🔗 Repository URL: https://github.com/666ghj/BettaFish
📖 Readme: https://github.com/666ghj/BettaFish#readme
📊 Statistics:
🌟 Stars: 2.1K stars
👀 Watchers:
🍴 Forks: 295 forks
💻 Programming Languages: Python - HTML
🏷️ Related Topics:
#nlp #sentiment_analysis #python3 #data_analysis #deep_search #multi_agent_system #agent_framework #public_opinion_analysis #llms #deep_research
==================================
🧠 By: https://t.iss.one/DataScienceM