Hugging Face's logo

Spaces:
Canstralian
/
Fear_of_a_Black_Hat
Running

App Files Community
Fear_of_a_Black_Hat / README.md
Canstralian's picture
Canstralian
Update README.md
8bc79e3 verified
preview code
|
raw
history blame contribute delete
3.63 kB

A newer version of the Gradio SDK is available: 5.19.0

Upgrade
metadata
title: Fear Of A Black Hat
emoji: 🏃
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 5.12.0
app_file: app.py
pinned: true
license: mit
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/64fbe312dcc5ce730e763dc6/AAc4-Cn2DNmH61MHTsG1v.jpeg

Fear of a Black Hat 🏃

An example chatbot using Gradio, huggingface_hub, and the Hugging Face Inference API.

Thumbnail

Overview

Fear of a Black Hat is an interactive chatbot that demonstrates the use of Gradio's UI components and the Hugging Face Inference API. The app provides users with an engaging experience where they can chat with an AI model to explore various topics, ask questions, and receive intelligent responses based on the latest NLP technology.

This project uses the Gradio SDK version 5.12.0 to create a smooth and responsive web-based interface that makes interacting with the AI chatbot easy and fun.

Features

  • AI-Powered Chatbot: Engage in intelligent conversations on a variety of topics.
  • Gradio UI: Beautiful and responsive web interface.
  • Hugging Face Inference API: The backend is powered by Hugging Face models, ensuring high-quality responses.
  • Real-time Interaction: Instant responses to your input with minimal delay.
  • Minimalistic Design: Sleek and simple UI to focus on the conversation.

Installation

Prerequisites

  • Python 3.7+
  • Gradio SDK (v5.12.0)
  • Hugging Face Hub API Key

Steps

  1. Clone the repository:

    git clone https://github.com/yourusername/fear-of-a-black-hat.git

  2. Install dependencies:

    pip install gradio==5.12.0 huggingface_hub

  3. Set up your Hugging Face Hub API key. You can obtain it from Hugging Face. Add it to your environment:

    export HF_HOME=<path_to_huggingface_cache>
export HUGGINGFACE_API_KEY=<your_huggingface_api_key>

  4. Run the app:

    python app.py

  5. Open your browser and go to http://localhost:7860 to start chatting with the AI!

Usage

Once the app is running, you can interact with the chatbot by typing your message in the input field. The chatbot will generate a response based on the latest NLP model available on Hugging Face. You can ask questions, seek advice, or just have a friendly conversation.

Deployment

To deploy this app on Hugging Face Spaces:

  1. Push the code to a new repository on Hugging Face.
  2. Set the app.py as the main entry point for the app.
  3. Customize the settings and environment variables as needed.
  4. Launch the app directly on Hugging Face Spaces.

For more details on deploying Gradio apps, check out the Gradio documentation.

Contributing

If you'd like to contribute to this project, feel free to fork the repository and submit a pull request. Whether it's improving the chatbot's conversational abilities, enhancing the UI, or fixing bugs, contributions are always welcome!

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Acknowledgements

  • Gradio for providing an easy-to-use UI framework.
  • Hugging Face for offering powerful NLP models and the Inference API.

Contact

For any questions or suggestions, feel free to reach out to us via the GitHub issues or email.