Update README.md

README.md

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----
-title: Accent Detection
-emoji: 🌖
-colorFrom: gray
-colorTo: pink
-sdk: gradio
-sdk_version: 5.30.0
-app_file: app.py
-pinned: false
-short_description: A simple AI Agent that detects the accent from audio input
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+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:
+
+(Replace the URL above with your actual Space URL after deployment.)
+
+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
+Copy
+Edit
+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:
+[email protected]