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----
-title: Accent Classifier
-emoji: "🎙️"
-colorFrom: indigo
-colorTo: pink
-sdk: gradio
-sdk_version: 5.32.0
-app_file: app.py
-pinned: false
----
-
-# 🎙️ Accent Classifier App
-
-This Gradio-powered app allows you to paste a public video URL (YouTube, Vimeo, Dailymotion), download it with `yt-dlp`, extract the audio using `ffmpeg`, and classify the speaker identity (as a proxy for accent) using the `superb/wav2vec2-base-superb-sid` model from Hugging Face.
-
----
-
-## 🔧 Setup
-
-```bash
-pip install -r requirements.txt
-sudo apt install ffmpeg
+---
+title: Accent Classifier
+emoji: 🎙️
+colorFrom: teal
+colorTo: cyan
+sdk: gradio
+sdk_version: "3.38.1"
+app_file: app.py
+pinned: false
+---
+
+# Accent Classifier 🎙️
+
+This app downloads a public YouTube or Vimeo video, extracts its audio, and classifies the speaker's accent (or rather, speaker ID as a proxy) using a Hugging Face model.
+
+### How it works
+
+1. You provide a video URL.
+2. The app downloads the audio using `yt-dlp`.
+3. It extracts the audio in a format suitable for the model (`wav`, 16kHz, mono).
+4. It runs the `superb/wav2vec2-base-superb-sid` model to classify the speaker.
+5. Displays the predicted speaker ID and confidence.
+
+### Requirements
+
+- Python 3.8+
+- `yt-dlp`
+- `ffmpeg` installed on your system and accessible from the command line.
+- `gradio` for the UI.
+- `transformers` from Hugging Face.
+
+### Usage
+
+Run the app:
+
+```bash
+python app.py