|
|
--- |
|
|
title: English Accent Classifier |
|
|
emoji: 🐨 |
|
|
colorFrom: pink |
|
|
colorTo: blue |
|
|
sdk: gradio |
|
|
sdk_version: 5.32.0 |
|
|
app_file: app.py |
|
|
pinned: false |
|
|
--- |
|
|
|
|
|
This is The English Accent Classification Task |
|
|
There are two important files: App.py and requirements.py |
|
|
- requirments.py is the required libraries |
|
|
- App.py contains the complete logic of the code, which gets the direct mp4 url, extract the audio then pass it to a pre-trained accent classifier model |
|
|
An Accent classification confidence score is given as well, which is the prediction probability of the predicted label, to express confidence in the prediction, |
|
|
A transcription is then done using OpenAI-Whisper Model, and Meta Llama 3.3 used for proficiency analysis of the extracted transcript to analyse the performance |
|
|
the application is built using Gradio and hosted in huggingface spaces. |
|
|
|
|
|
|
|
|
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
|
|
|
