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---
title: English Accent Classifier
emoji: 🗣️
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.30.0
app_file: app.py
pinned: false
---
Overview
This web app uses Gradio and Hugging Face Transformers to classify English accents from audio samples.
Upload or record English speech, and the app predicts the speaker’s accent from:
American
British
Indian
African
Australian
Results are displayed in a clear, color-coded table showing confidence percentages, highlighting the top predicted accent.
Demo
Try the live app on Hugging Face Spaces:
https://huggingface.co/spaces/tusker123/accent-detection
Installation
Clone the repo and install dependencies:
bash
git clone https://github.com/your-username/english-accent-classifier.git
cd english-accent-classifier
# Optional: create and activate virtual environment
python -m venv venv
# On Linux/macOS:
source venv/bin/activate
# On Windows:
venv\Scripts\activate
pip install -r requirements.txt
If requirements.txt is not included, install manually:
bash
pip install gradio transformers torch
Running Locally
Start the app:
bash
python app.py
Open the local URL printed (usually http://127.0.0.1:7860) in your browser.
Deploying on Hugging Face Spaces
Create a new Space on Hugging Face using the Gradio SDK.
Upload your app.py and requirements.txt.
Ensure your app.py ends with:
#python
gr.Interface(...).launch()
(Do NOT use share=True on Spaces.)
Commit and wait for the build; your app will be publicly available.
How It Works
Uses the Hugging Face pipeline:
#python
pipeline("audio-classification", model="dima806/english_accents_classification")
Takes an audio input, predicts accents with confidence scores.
Displays top 3 accents in a styled table with the top accent highlighted.
Error Handling
Handles invalid audio files gracefully with user-friendly error messages.
Supports common audio formats like .wav and .mp3.
Customization
Change the model in app.py by editing:
#python
pipe = pipeline("audio-classification", model="your_model_name")
Customize UI elements and theme in the Gradio interface.
License & Acknowledgments
This project leverages open-source libraries:
Gradio
Transformers
Model by dima806
Contact
For inquiries or support, contact:
duncan.ngacha@gmail.com |