app.py

import os
import gradio as gr
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Get API token from environment variable
API_TOKEN = os.getenv("HUGGINGFACE_TOKEN")

# Your private space name
SPACE_NAME = "muskan11200/gas-demand-forecast"

def main():
    if not API_TOKEN:
        raise ValueError("HUGGINGFACE_TOKEN environment variable is not set")
        
    # Load the interface from the private space
    interface = gr.load(
        name=SPACE_NAME,
        src="spaces",
        hf_token=API_TOKEN
    )
    
    # Launch the interface
    interface.launch()

if __name__ == "__main__":
    main()

"""
Instructions for setting up public-private space connection:

1. Private Space Setup:
   - Update your private space with the modified code above
   - The key change is returning the plot as a base64 data URL instead of a file path

2. Public Space Setup:
   - Create a new space with visibility set to "Public"
   - Upload this file as app.py
   - Add your Hugging Face API token as a secret:
     * Go to your space's Settings > Repository Secrets
     * Add a new secret named HUGGINGFACE_TOKEN
     * Paste your API token (from https://huggingface.co/settings/tokens)

3. Requirements:
   - Add these to requirements.txt:
     gradio==4.19.2
     huggingface_hub>=0.20.3
     python-dotenv>=1.0.0

4. Security Notes:
   - API token is securely stored as an environment variable
   - The private space's code and data remain secure
   - Only the interface is exposed through the public space
"""