Smart File Finder & Chat Assistant v2 is a powerful Python-based desktop application designed to streamline file management and information retrieval for Chinese-speaking users. With a sleek, Chinese-localized interface, this tool leverages advanced AI to search, summarize, and interact with documents and images.

Built with customtkinter for a modern GUI and Flask for a robust API backend, it’s perfect for professionals, researchers, and teams handling large file collections in Chinese environments. 🚀

Download FileFinderSetup.exe from Releases.

• Semantic File Search 🔍: Find documents (DOCX, PDF, TXT) and images (JPG, PNG) using natural language queries in Chinese.
• AI-Driven Insights 🤖: Generate embeddings for text and images with models optimized for Chinese content, powered by SentenceTransformers and ChineseCLIP.
• OCR Excellence 📸: Extract and summarize text from images and PDFs using Tesseract OCR, tailored for Chinese characters.
• Smart Chat Assistant 💬: Engage in contextual conversations or summarize files with a Chinese-focused AI, supporting both Normal and RAG modes.
• Chinese Interface 🇨🇳: Fully localized UI with intuitive navigation, designed for native Chinese speakers.
• Dark/Light Mode 🌗: Toggle themes for comfortable use in any lighting.
• System Tray Integration 🖥️: Minimize to tray with Alt+Q hotkey to restore.
• Continuous Indexing 🔄: Automatically updates file indexes for monitored directories.

To be updated with v2’s Chinese interface.

• Search Tab:
• Chat Assistant:
• OCR Summary:

• Python 🐍: 3.10 or higher
• Tesseract OCR 📖: For Chinese text extraction
  • Windows: Download, add to PATH, ensure chi_sim data is installed
  • Linux: sudo apt install tesseract-ocr tesseract-ocr-chi-sim
  • macOS: brew install tesseract
• Poppler 📄: For PDF processing
  • Windows: Download, add to PATH
  • Linux: sudo apt install poppler-utils
  • macOS: brew install poppler

# Clone the Repository 📥
git clone https://github.com/BotirBakhtiyarov/Filefinder.git
cd Filefinder

# Set Up Virtual Environment 🛠️
python -m venv .venv
source .venv/bin/activate  # Linux/macOS
.venv\Scripts\activate     # Windows

# Install Dependencies 📦
pip install -r requirements.txt

Update MODEL_DIR in api_server.py:

MODEL_DIR = "models/"  # Path to Chinese-optimized models

Make sure models like:

• paraphrase-multilingual-MiniLM-L12-v2
• chinese-clip-vit-base-patch16

are available or downloaded.

# Start the API server 🌐
python api_server.py

# Run the main application 🎉
python app.py

A Chinese-language setup wizard will guide you to:

• Enter API keys/URLs
• Set document/image directories
• Choose theme (Dark/Light)

• Go to the “搜索” tab.
• Enter Chinese queries (e.g., 年度报告概述).
• View results and:
  • 打开: Open file
  • 摘要: AI-generated summary
  • OCR 摘要: OCR-based summary for images

• Go to the “聊天” tab
• Select:
  • Normal Mode: For general chat
  • RAG Mode: Upload and ask about specific files
• Ask questions in Chinese and get summarized answers

• Minimize to tray by closing window
• Press Alt+Q to restore

FileFinder_v2/
├── .venv/              # Virtual environment
├── assets/
│   ├── ui/             # Chinese-localized GUI
│   │   ├── chat_frame.py
│   │   ├── main_app.py
│   │   ├── search_frame.py
│   │   ├── setup_wizard.py
│   │   └── summary_window.py
│   └── utils/
│       └── file_utils.py
├── app.py              # App entry point
├── api_server.py       # Flask backend
├── requirements.txt    # Dependencies
└── myicon.ico          # App icon

api_server.py includes:

• /embed_text: Embed Chinese text
• /embed_image: Embed image
• /embed_clip_text: CLIP-based text-image embedding
• /extract_pdf_with_ocr: OCR for Chinese PDFs
• /extract_image_ocr: OCR for Chinese images

We welcome contributions! 🌟

# Fork and branch
git checkout -b feature/YourFeature

# Commit and push
git commit -m "Add YourFeature"
git push origin feature/YourFeature

• Follow PEP 8
• Maintain Chinese localization

• File Access Errors: Verify file paths and network drives.
• OCR Issues: Make sure Tesseract is installed with chi_sim support.
• API Failures: Confirm api_server.py is running and keys are set.
• UI Bugs: Check customtkinter compatibility.

Open an issue on GitHub with logs if needed.

MIT License – see LICENSE for details.

• CustomTkinter: Modern GUI framework
• SentenceTransformers: Chinese text embeddings
• Transformers: ChineseCLIP integration
• Tesseract OCR: Robust OCR engine

Built with ❤️ for Chinese-speaking users, AI File Finder v2 is your ultimate file management companion!