Unlike simple chatbots, MyStar features a "living" personality with long-term memory, simulated biological cycles, multimodal perception (vision/hearing), and autonomous behavior.

🚀 Key Features

🧠 1. Dynamic Personality & Cognition

Modular Prompting: The SYSTEM_PROMPT is assembled dynamically on the fly. Depending on the context, different personality modules are injected into the base prompt.
Long-Term Memory (LTM): The bot utilizes a "Diary" system (SQLite). It does not simply feed the entire chat history to the LLM. Instead, it injects: [Base Persona] + [LTM Summary] + [Recent Context].
Background "Thinking": When you are inactive, a background process (run_memory_summarization) analyzes recent conversations, extracts key facts about you (hobbies, problems, plans), and saves them to the LTM database.

💖 2. Relationships & Biological States

Relationship Progression: The bot supports three distinct stages: Stranger, Friend, and Lover.
Auto-Progression: The bot automatically detects romantic intent and upgrades the relationship status.
Simulated 28-Day Cycle: The bot tracks a simulated cycle that affects her mood and prompt directives:
- Period (Days 1-7): She may feel moody, crave comfort, and will refuse NSFW interactions.
- Ovulation (Days 12-16): She becomes more flirtatious, confident, and affectionate.

👁️ 3. Multimodal Perception ("Sensors")

Vision (Image Recognition): You can send photos to the bot. She "sees" them and comments on them naturally.
Hearing (Voice Messages): Integrated OpenAI Whisper allows the bot to listen to your voice notes and respond to them as text.
Context Awareness: She detects your work schedule and respects your time (avoiding distractions during work hours).

💬 4. Advanced Interaction & Visuals

AI Spontaneous Messages: No hardcoded templates. If you haven't texted in a while, she generates a unique, context-aware message to check on you.
High-Quality Image Generation:
- Powered by SD.Next and the AAM XL (Anime Mix) model for top-tier anime aesthetics.
- SFW by Default: Generates cute/cozy selfies based on the conversation context.
- Contextual NSFW: Explicit generation is strictly gated (requires 'Lover' status, specific user request, and appropriate timing).

🛠️ Tech Stack

Python 3.10+
Ollama: Local LLM backend.
SD.Next: Advanced Stable Diffusion WebUI.
FFmpeg: Audio processing for Whisper.

📦 Installation Guide

Step 1: Install & Configure Ollama

Download Ollama:
- Standard: Download from the Official Website.
- For unsupported AMD GPUs: If you have an older or unsupported Radeon card, use this fork: Ollama for AMD.
Pull the Model: Open your terminal and pull the model used in the config (default is ministral-3:14b):
```
ollama pull ministral-3:14b
```

Step 2: Install & Configure SD.Next

Install SD.Next: Clone and install the repository from vladmandic/sdnext.
Download the Checkpoint: Download the ✨ JANKU Trained + NoobAI + RouWei Illustrious XL ✨ model.
Setup:
- Place the downloaded model into the models/Stable-diffusion folder inside your SD.Next directory.
- Run SD.Next with the API flag enabled:
```
./webui.sh --api --debug
# Or on Windows:
# webui.bat --api --debug
```

Step 3: Install The Bot

Clone this repository:

git clone https://git.maxo.one/Maxo/MyStar.git
cd MyStar

Install Python Dependencies:
```
pip install python-telegram-bot python-telegram-bot[job-queue] openai-whisper requests
```
(Note: You also need ffmpeg installed on your system path for Whisper to work).
Environment Setup: Set your Telegram token as an environment variable (or edit the TELEGRAM_BOT_TOKEN line in the script directly, though not recommended for security).
```
export TELEGRAM_BOT_TOKEN="your_telegram_bot_token"
```
Run the Bot:
```
python MyStarENG.py
```

📄 License

MIT License. See LICENSE file for details.