Add Telegram bot scaffold with ChatGPT, image, and Sora 2 commands

[allomenyaslishno]

Motivation

• Provide a ready-to-run Telegram bot scaffold that integrates text, image, and video generation via OpenAI models (gpt-4.1, gpt-image-1, sora-2).
• Make it easy to configure and run with environment variables and a minimal dependency list.
• Surface clear runtime error reporting when a model or API (especially video/Sora) is unavailable.

Description

• Added bot.py implementing Telegram commands /start, /chat (uses openai_client.responses.create with model gpt-4.1), /image (uses openai_client.images.generate with gpt-image-1 and decodes result with base64.b64decode), and /sora (attempts openai_client.videos.generations.create with sora-2).
• Added environment template .env.example and the code reads TELEGRAM_BOT_TOKEN, OPENAI_API_KEY, and optional OPENAI_BASE_URL via load_dotenv().
• Added requirements.txt with python-telegram-bot, openai, and python-dotenv dependencies.
• Added README.md (Russian) with setup, configuration, run instructions, and usage examples.

Testing

• Ran python -m py_compile bot.py successfully with no syntax errors.

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Codex Task

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Handle command updates without update.message

These handlers dereference update.message directly, but CommandHandler can be invoked for command-bearing updates where only effective_message is set (e.g., channel/edited message contexts). In those cases update.message is None, so /start, /chat, /image, and /sora raise AttributeError before they can respond, making commands fail outside the simplest private-chat flow. Use update.effective_message (or guard for None) before replying/sending chat actions.

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