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Update README.md

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  1. README.md +4 -6
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@@ -15,7 +15,8 @@ short_description: 🎩 Elegant & Professional GalaGuide
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  A sleek, intelligent assistant app designed to support event organizers during a gala by providing personalized guest experiences and real-time support.
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- > πŸ§‘β€πŸ« This app is part of the **Hugging Face Courses** series and was developed as an educational project to showcase how machine learning can be used in real-world event scenarios. Learn more at [Hugging Face Courses](https://huggingface.co/learn).
 
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@@ -25,10 +26,8 @@ A sleek, intelligent assistant app designed to support event organizers during a
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  GalaGuide Agentic RAG_app/
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  β”‚
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  β”œβ”€β”€ app.py # Main launcher script that initializes and runs the Gradio app.
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- β”œβ”€β”€ agent.json # JSON config for defining tools and metadata used by a custom agent.
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- β”œβ”€β”€ Gradio_UI.py # Contains the Gradio Blocks interface layout and connects UI to the tools.
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- β”œβ”€β”€ screenshot.jpeg # Sample preview for the use of the app Preview image of the app UI (used in README)
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- β”œβ”€β”€ prompt_config.yaml # Prompt configurations for examples / YAML config to store prompt templates or reusable prompt parts for tools/agents.
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  β”œβ”€β”€ .env.template # Template file showing expected environment variables (e.g., API keys).
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  β”œβ”€β”€ requirements.txt # Python dependencies
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  └── README.md # Project overview, setup instructions, usage examples
@@ -78,7 +77,6 @@ GalaGuide Agentic RAG_app/
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  2. πŸ“€ Upload your own `CSV` or `JSON` guest file with your custom guest list β€” or use the default dataset πŸ“₯ [Download sample_guests.csv](#)
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  3. Browse guest profiles, get insights, and use tools for networking and event prep
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  4. πŸ’‘ Suggested prompts are available directly in the app interface for inspiration.
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  A sleek, intelligent assistant app designed to support event organizers during a gala by providing personalized guest experiences and real-time support.
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+ > πŸ§‘β€πŸ« This app is part of the **Hugging Face Courses** series and was developed as an educational project to showcase how machine learning
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+ > can be used in real-world event scenarios. Learn more at [Hugging Face Courses](https://huggingface.co/learn).
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  GalaGuide Agentic RAG_app/
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  β”‚
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  β”œβ”€β”€ app.py # Main launcher script that initializes and runs the Gradio app.
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+ β”œβ”€β”€ tools.py # TO BE CHANGED Sample preview for the use of the app Preview image of the app UI (used in README)
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+ β”œβ”€β”€ retriever.py # TO BE CHANGED Prompt configurations for examples / YAML config to store prompt templates or reusable prompt parts for tools/agents.
 
 
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  β”œβ”€β”€ .env.template # Template file showing expected environment variables (e.g., API keys).
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  β”œβ”€β”€ requirements.txt # Python dependencies
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  └── README.md # Project overview, setup instructions, usage examples
 
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  2. πŸ“€ Upload your own `CSV` or `JSON` guest file with your custom guest list β€” or use the default dataset πŸ“₯ [Download sample_guests.csv](#)
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  3. Browse guest profiles, get insights, and use tools for networking and event prep
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  4. πŸ’‘ Suggested prompts are available directly in the app interface for inspiration.
 
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