Add Docker support for Hugging Face Spaces deployment

.dockerignore

@@ -0,0 +1,27 @@
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+venv/
+.venv
+pip-log.txt
+pip-delete-this-directory.txt
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.log
+.git
+.gitignore
+.mypy_cache
+.pytest_cache
+.hypothesis
+*.md
+!README.md
+LICENSE.md
+link.txt

.streamlit/config.toml

@@ -0,0 +1,6 @@
+[server]
+headless = true
+port = 7860
+
+[browser]
+gatherUsageStats = false

Dockerfile

@@ -0,0 +1,29 @@
+FROM python:3.10-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    software-properties-common \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application files
+COPY app.py .
+COPY .streamlit .streamlit
+
+# Expose port 7860 (Hugging Face Spaces default)
+EXPOSE 7860
+
+# Health check
+HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health
+
+# Run the Streamlit app
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]

README.md

@@ -2,6 +2,8 @@
 
 Psychometric Template Generator is a data visualization tool built using Python, Streamlit, Pandas, Matplotlib, and Plotly. It allows users to upload a CSV file and create intutive data visualizations just by selecting the features from the data.
 
+🚀 **Live Demo**: [View on Hugging Face Spaces](https://huggingface.co/spaces/aniket47/Advance-Data-Visualization-Tool)
+
 ## ✨ Features
 
 - Upload CSV data: Allows users to upload CSV files containing the data for psychometric testing.
@@ -40,3 +42,24 @@ Psychometric Template Generator is a data visualization tool built using Python,
 3. Select features from the data.
 4. Select the Visualization from the given visualization charts and plots.
 5. You're Done, You'll get the visualization from selected features.
+
+## 🐳 Docker Deployment
+
+### Run with Docker locally:
+```bash
+docker build -t data-viz-tool .
+docker run -p 7860:7860 data-viz-tool
+```
+
+Then open your browser to `http://localhost:7860`
+
+### Deploy to Hugging Face Spaces:
+1. Create a new Space at [huggingface.co/new-space](https://huggingface.co/new-space)
+2. Select **Docker** as the SDK
+3. Push your code to the Space repository:
+```bash
+git remote add space https://huggingface.co/spaces/aniket47/Advance-Data-Visualization-Tool
+git add .
+git commit -m "Add Docker support for HF Spaces"
+git push space main
+```