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Weather updates, internal knowledge, support tickets, document uploads, and more — all in one screen!\n\n## Features\n\n* 🤖 **LLM-powered natural language chat** (local model via LM Studio/OpenAI compatible API)\n* 🔗 **Multi-tool/function chaining**: weather, internal knowledge, support tickets, document upload\n* 🏢 **Internal knowledge base**: FAQs, procedures, policies\n* 🌤️ **Weather query** (OpenWeatherMap API)\n* 💼 **Support ticket creation** (department, description, urgency, category)\n* 🗂️ **Dashboard**: query history, weather history, support tickets, uploaded reports\n* 📄 **Word/PDF report upload**: attach and manage files from both the chat screen and dashboard\n* 🌗 **Dark/Light theme** (persistent with localStorage)\n* 📱 **Modern, responsive, and mobile-friendly UI**\n* 🛡️ **Secure API key management with .env**\n\n## Installation\n\n1. Clone the repository and navigate into the directory.\n2. Create and activate a virtual environment:\n\n   ```bash\n   python -m venv .venv\n   # Windows: .venv\\Scripts\\activate\n   # Linux/Mac: source .venv/bin/activate\n   ```\n3. Install requirements:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n4. Add your OpenWeatherMap API key to the `.env` file:\n\n   ```\n   OPENWEATHER_API_KEY=YOUR_API_KEY\n   ```\n5. Use LM Studio or Ollama (both can serve as an OpenAI-compatible server):\n\n   * **LM Studio**:\n\n     * Start a model and enable the OpenAI Compatible Server (e.g. `http://localhost:1234/v1`).\n   * **Ollama (optional)**:\n\n     * Run a model such as `ollama run qwen3:8b` and use an OpenAI-compatible proxy.\n   * Example `.env`:\n\n     ```\n     LM_STUDIO_BASE_URL=http://localhost:1234/v1\n     LM_STUDIO_MODEL=openai/gpt-oss-20b\n     # LM_STUDIO_API_KEY=optional\n     OPENWEATHER_API_KEY=YOUR_API_KEY\n     ```\n6. Start the application:\n\n   ```bash\n   python app.py\n   ```\n7. Open `http://localhost:5000` in your browser.\n\n## Usage\n\n* **Chat screen:** Type and send your message — ask about weather, internal knowledge, support, or document uploads naturally.\n* **Report upload:** Add Word/PDF files from the chat screen or dashboard, manage and download them on the dashboard.\n* **Dashboard:** View query history, weather history, support tickets, and uploaded reports.\n* **Theme:** Switch between dark and light mode with the button in the top-right corner.\n\n## Notes\n\n* All data is temporarily stored in memory; user identity support can be added.\n* Departments, knowledge base, and tool chains can be easily customized.\n* Supports advanced multi-tool/function chaining with LLM integration.\n\n\nDeveloper: emredeveloper\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femredeveloper%2Fkurum-asistan-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Femredeveloper%2Fkurum-asistan-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femredeveloper%2Fkurum-asistan-chatbot/lists"}