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title: Instamatch
app_file: app.py
sdk: gradio
sdk_version: 5.12.0
---
## Overview
InstaMatch is a cloud instance matching tool for machine learning models. It fetches model information from HuggingFace and recommends suitable cloud instances from AWS, Azure, and GCP based on the model's requirements.
## Features
- Fetch model information from HuggingFace API
- Estimate model requirements (vCPUs and memory)
- Recommend suitable cloud instances from AWS, Azure, and GCP
- Display primary and backup recommendations
## Installation
1. Clone the repository:
\`\`\`sh
git clone https://github.com/yourusername/InstaMatch.git
cd InstaMatch
\`\`\`
2. Create and activate a virtual environment:
\`\`\`sh
python3 -m venv venv
source venv/bin/activate
\`\`\`
3. Install the required dependencies:
\`\`\`sh
pip install -r requirements.txt
\`\`\`
4. Set up your HuggingFace API token in a \`.env\` file:
\`\`\`sh
echo \"HUGGING_FACE_TOKEN=your_huggingface_token\" > .env
\`\`\`
## Usage
1. Run the application:
\`\`\`sh
python app.py
\`\`\`
2. Open the provided URL in your browser.
3. Enter a model name from HuggingFace (e.g., \`gpt2\`, \`bert-base-uncased\`) and click \"Get Recommendations\".
4. View the model requirements and cloud instance recommendations.
## Files
- \`app.py\`: Main application file
- \`cloud_instances.csv\`: CSV file containing cloud instance data
- \`requirements.txt\`: List of required Python packages
- \`utils/\`: Utility functions and modules
## License
This project is licensed under the MIT License." > README.md
git add README.md
git commit -m "Add README file" |