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1. Get Your API Key

Open the Starrise AI Console and register an account (or log in if you already have one). After registering, go to API Keys, create a new API key, click to copy it, and save it for later use.

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2. Deploy MindSearch

After cloning MindSearch locally and installing the required dependencies (see the MindSearch README), edit /path/to/MindSearch/mindsearch/models.py and add the configuration for calling the Starrise AI API: 
starrise_config = dict(
    type=GPTAPI,
    model_type='gpt-4o',
    key=os.environ.get('ANYFAST_API_KEY', 'YOUR ANYFAST API KEY'),
    openai_api_base='https://ai.alad.com/v1/chat/completions',
    meta_template=[
        dict(role='system', api_role='system'),
        dict(role='user', api_role='user'),
        dict(role='assistant', api_role='assistant'),
        dict(role='environment', api_role='system')
    ],
    top_p=0.8,
    top_k=1,
    temperature=0,
    max_new_tokens=8192,
    repetition_penalty=1.02,
    stop_words=['<|im_end|>']
)
After adding this configuration, you can run the relevant commands to start MindSearch. Start the backend: 
# Specify the Starrise AI API key
export ANYFAST_API_KEY=<the key you copied above>

# Start
python -m mindsearch.app --lang en --model_format starrise_config --search_engine DuckDuckGoSearch
Start the frontend (using Gradio as an example): 
python frontend/mindsearch_gradio.py

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3. Deploy to HuggingFace Space

You can also choose to deploy to HuggingFace Space:
  • Create a new Space at huggingface.co/new-space with the following settings: Gradio Template: Blank, Hardware: CPU basic.
  • After creation, go to Settings to set the API key.
  • Upload the MindSearch directory, requirements.txt, and app.py.