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πŸ”₯ Trending Repository: gpt4free

πŸ“ Description: The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5

πŸ”— Repository URL: https://github.com/xtekky/gpt4free

🌐 Website: https://t.me/g4f_channel

πŸ“– Readme: https://github.com/xtekky/gpt4free#readme

πŸ“Š Statistics:
🌟 Stars: 65.2K stars
πŸ‘€ Watchers: 484
🍴 Forks: 13.7K forks

πŸ’» Programming Languages: Python

🏷️ Related Topics:
#chatbot #reverse_engineering #openai #chatbots #gpt #language_model #openai_api #gpt_4 #gpt4 #chatgpt #chatgpt_api #openai_chatgpt #chatgpt_free #chatgpt_4 #chatgpt4 #gpt4_api #deepseek #gpt_4o #deepseek_api #deepseek_r1


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🧠 By: https://t.me/DataScienceM
Forwarded from Machine Learning
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automationβ€”master this to create viral tools and ace full-stack interviews! πŸ€–

# 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"πŸ”₯ 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.me/DataScienceM 🦾
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❀4
πŸ”₯ Trending Repository: mem0

πŸ“ Description: Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

πŸ”— Repository URL: https://github.com/mem0ai/mem0

🌐 Website: https://mem0.ai

πŸ“– Readme: https://github.com/mem0ai/mem0#readme

πŸ“Š Statistics:
🌟 Stars: 42.1K stars
πŸ‘€ Watchers: 203
🍴 Forks: 4.5K forks

πŸ’» Programming Languages: Python - TypeScript - MDX - Jupyter Notebook - JavaScript - Shell

🏷️ Related Topics:
#python #application #state_management #ai #memory #chatbots #memory_management #agents #hacktoberfest #ai_agents #long_term_memory #rag #llm #chatgpt #genai


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🧠 By: https://t.me/DataScienceM
❀1
πŸ”₯ Trending Repository: WeKnora

πŸ“ Description: LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

πŸ”— Repository URL: https://github.com/Tencent/WeKnora

🌐 Website: https://weknora.weixin.qq.com

πŸ“– Readme: https://github.com/Tencent/WeKnora#readme

πŸ“Š Statistics:
🌟 Stars: 6.8K stars
πŸ‘€ Watchers: 43
🍴 Forks: 778 forks

πŸ’» Programming Languages: Go - Vue - Python - TypeScript - Shell - Less

🏷️ Related Topics:
#agent #golang #multi_tenant #ai #chatbot #evaluation #embeddings #openai #question_answering #chatbots #knowledge_base #semantic_search #reranking #multimodel #rag #vector_search #llm #generative_ai #agentic #ollama


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🧠 By: https://t.me/DataScienceM
πŸ”₯ Trending Repository: mastra

πŸ“ Description: From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

πŸ”— Repository URL: https://github.com/mastra-ai/mastra

🌐 Website: https://mastra.ai

πŸ“– Readme: https://github.com/mastra-ai/mastra#readme

πŸ“Š Statistics:
🌟 Stars: 20K stars
πŸ‘€ Watchers: 85
🍴 Forks: 1.4K forks

πŸ’» Programming Languages: TypeScript

🏷️ Related Topics:
#nodejs #javascript #typescript #ai #reactjs #mcp #nextjs #tts #chatbots #workflows #agents #llm #evals


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🧠 By: https://t.me/DataScienceM