{"id":22774908,"url":"https://github.com/prem07a/automl","last_synced_at":"2025-10-13T20:04:55.880Z","repository":{"id":250450687,"uuid":"834344166","full_name":"Prem07a/AutoML","owner":"Prem07a","description":"A Streamlit app for automated data cleaning, feature selection, and model training. 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Folder Structure\n\n```\nsrc/\n│\n├── images/\n│   ├── favicon.ico\n│   ├── logo.png\n│   ├── HomePage.png\n│   ├── HomePage2.png\n│   ├── Automl.png\n│   ├── transform.png\n│   ├── explore.png\n│   └── openProject.png\n│\n├── project/\n│   └── [Project Name]/\n│           ├── data/\n│           ├── models/\n│           ├── report/\n│           └── code/\n│\n├── src/\n│   ├── app.py\n│   ├── automl.py\n│   ├── explore.py\n│   ├── transform.py\n│   └── prompt.py\n│\n├── .env\n├── requirements.txt\n├── LICENSE\n└── README.md\n```\n\n### 2. `.env` File\n\nThe `.env` file should be placed in the root of your project directory (`src`) and contain environment variables used by your application. For example:\n\n```env\nOPENAI_API_KEY=your_openai_api_key_here\n```\n\nReplace `your_openai_api_key_here` with your actual OpenAI API key.\n\n### 3. `requirements.txt`\n\nThe `requirements.txt` file lists all Python packages your project depends on. Here’s an example based on your provided code:\n\n```txt\n# Application\nstreamlit\nllama-index-llms-openai\npython-dotenv\npandasai\n\n# Data manipulation\npandas\nnumpy\n\n# Machine learning\nscikit-learn\nxgboost\nlightgbm\ncatboost\n\n# Statistics\nscipy\n\n# Plotting\nmatplotlib\nseaborn\n\n# For running the code\njoblib\n```\n\n### 4. Running Steps\n\n#### **1. Clone the Git Repository**\n\n   Start by cloning your Git repository to your local machine:\n\n   ```bash\n   git clone https://github.com/Prem07a/AutoML.git\n   cd AutoML\n   ```\n\n#### **2. Create and Activate a Virtual Environment**\n\n   For macOS and Linux:\n\n   ```bash\n   python3 -m venv venv\n   source venv/bin/activate\n   ```\n\n   For Windows:\n\n   ```bash\n   python -m venv venv\n   venv\\Scripts\\activate\n   ```\n\n   This step creates a virtual environment and activates it to ensure that dependencies are installed in an isolated environment.\n\n#### **3. Install the Required Packages**\n\n   With the virtual environment activated, install the necessary Python packages listed in `requirements.txt`:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n   This command installs all the dependencies required for your project.\n\n   *Note: If you encounter issues installing `pandasai`, try using Python 3.11.9*\n\n#### **4. Run Your Streamlit App**\n\n   After setting up the environment and installing dependencies, you can start your Streamlit app. Navigate to the `src` directory and run:\n\n   ```bash\n   streamlit run app.py\n   ```\n\n   This command launches the Streamlit server and opens your app in the default web browser.\n\n### 5. Project Screenshots\n\nHere are some screenshots of the different pages in the application:\n\n#### **Home Page**\n\n![Home Page](images/HomePage.png)\n\n#### **Home Page 2**\n\n![Home Page 2](images/HomePage2.png)\n\n#### **AutoML Page**\n\n![AutoML](images/Automl.png)\n\n#### **Transform Page**\n\n![Transform](images/transform.png)\n\n#### **Explore Page**\n\n![Explore](images/explore.png)\n\n#### **Open Project Page**\n\n![Open Project](images/openProject.png)\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](./LICENSE) file for details.\n\n#### Copyright (c) 2024 Prem Gaikwad\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprem07a%2Fautoml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprem07a%2Fautoml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprem07a%2Fautoml/lists"}