Update readme.md

readme.md

@@ -1,204 +1,11 @@
-# Boston House Price Prediction Project
+---
+title: California Housing Price Prediction Web App
+emoji: 🐳
+colorFrom: purple
+colorTo: gray
+sdk: docker
+app_port: 7860
+---
+Check out the configuration reference at [https://huggingface.co/spaces/bipinsaha/Docker_ClaiforniaHouse](https://huggingface.co/spaces/bipinsaha/Docker_ClaiforniaHouse)
 
-## Overview
 
-This project focuses on predicting Boston house prices using machine learning. The entire workflow includes data loading, preprocessing, feature engineering, regression modeling, creating a Flask API, and Dockerizing the application.
-
-## Project Structure
-
-The project is organized into the following sections:
-
-1. **Data Loading:**
-   - The dataset used for this project is [provide dataset source/link].
-   - The data loading script is located at [path/to/script].
-
-2. **Data Preprocessing:**
-   - Data preprocessing steps are documented in [path/to/preprocessing/script].
-
-3. **Feature Engineering:**
-   - Feature engineering is conducted in [path/to/feature/engineering/script].
-
-4. **Regression Modeling:**
-   - The regression model is implemented in [path/to/regression/model/script].
-
-5. **Flask API:**
-   - A Flask API for the model is created in [path/to/flask/api/script].
-   - API documentation and usage instructions are provided in [path/to/api/documentation].
-
-6. **Dockerization:**
-   - The Docker file is available at [path/to/docker/file].
-   - Instructions for building and running the Docker container are outlined below.
-
-7. **Version Control:**
-   - The project is version-controlled using Git.
-   - The `.gitignore` file is properly configured to exclude unnecessary files.
-
-## How to Run
-
-Follow these steps to run the project:
-
-1. **Data Loading and Preprocessing:**
-   - Execute the data loading script.
-   - Run the data preprocessing script.
-
-2. **Feature Engineering:**
-   - Execute the feature engineering script.
-
-3. **Regression Modeling:**
-   - Run the script for building the regression model.
-
-4. **Flask API:**
-   - Launch the Flask API using the provided script.
-
-5. **Dockerization:**
-   - Build the Docker image using the following command:
-     ```bash
-     docker build -t boston-house-prediction .
-     ```
-   - Run the Docker container using the following command:
-     ```bash
-     docker run -p 5000:5000 boston-house-prediction
-     ```
-   The Flask API will be accessible at `http://localhost:5000`.
-
-## Dependencies
-
-Ensure you have the necessary dependencies installed. You can find the list of dependencies and their versions in the [requirements.txt](path/to/requirements.txt) file.
-
-## Contributing
-
-If you'd like to contribute to the project, please follow the guidelines outlined in [CONTRIBUTING.md](path/to/CONTRIBUTING.md).
-
-## License
-
-This project is licensed under the [MIT License](path/to/LICENSE).
-
-## Git Commands
-
-- **Clone the Repository:**
-  ```bash
-  git clone [repository_url]
-  ```
-
-- **Create a New Branch:**
-  ```bash
-  git checkout -b feature/your-feature-name
-  ```
-
-- **Commit Changes:**
-  ```bash
-  git add .
-  git commit -m "Your meaningful commit message"
-  ```
-
-- **Push Changes to Remote:**
-  ```bash
-  git push origin feature/your-feature-name
-  ```
-
-- **Merge Changes (after code review):**
-  ```bash
-  git checkout main
-  git pull origin main
-  git merge feature/your-feature-name
-  ```
-
-- **Delete Feature Branch (after merge):**
-  ```bash
-  git branch -d feature/your-feature-name
-  ```
-
-- **Update Local Repository (after someone else pushed changes):**
-  ```bash
-  git pull origin main
-  ```
-
-
-  Certainly! Here's the continuation and completion of the Git commands section in the README:
-
-## Git Commands (Continued)
-
-- **Check Repository Status:**
-  ```bash
-  git status
-  ```
-
-- **View Commit History:**
-  ```bash
-  git log
-  ```
-
-- **Create a Tag (for releases, e.g., v1.0.0):**
-  ```bash
-  git tag -a v1.0.0 -m "Version 1.0.0"
-  git push origin v1.0.0
-  ```
-
-- **Undo Local Changes (before staging):**
-  ```bash
-  git restore .
-  ```
-
-- **Undo Local Changes (after staging):**
-  ```bash
-  git restore --staged .
-  git restore .
-  ```
-
-- **Discard Local Changes for a Specific File:**
-  ```bash
-  git checkout -- filename
-  ```
-
-- **Revert to a Previous Commit:**
-  ```bash
-  git log  # Find the commit hash of the desired commit
-  git revert <commit_hash>
-  ```
-
-- **Update Local Repository Fork (if working on a fork):**
-  ```bash
-  git remote add upstream [original_repository_url]
-  git fetch upstream
-  git checkout main
-  git merge upstream/main
-  ```
-
-## Docker Commands
-
-- **List Docker Images:**
-  ```bash
-  docker images
-  ```
-
-- **List Running Containers:**
-  ```bash
-  docker ps
-  ```
-
-- **List All Containers (including stopped ones):**
-  ```bash
-  docker ps -a
-  ```
-
-- **Stop a Running Container:**
-  ```bash
-  docker stop [container_id]
-  ```
-
-- **Remove a Container:**
-  ```bash
-  docker rm [container_id]
-  ```
-
-- **Remove a Docker Image:**
-  ```bash
-  docker rmi [image_id]
-  ```
-
-- **Access a Bash Shell Inside a Running Container:**
-  ```bash
-  docker exec -it [container_id] /bin/bash
-  ```
-
-These additional Git and Docker commands should help you manage your version control and Dockerized application efficiently.