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import streamlit as st | |
def about_page(): | |
st.title("π About VoiceBridge") | |
st.markdown(""" | |
**VoiceBridge** is a smart and user-friendly app designed to help you **translate speech or text across multiple languages** and analyze the **emotional tone** of the message. | |
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### π What Can VoiceBridge Do? | |
- π£οΈ Convert **voice to text** using speech recognition | |
- π Translate text or speech into other languages using Deep Translator (Google Translate) | |
- π¬ Detect the **sentiment or tone** of the message using local and cloud-based models | |
--- | |
### π§ Technologies Used | |
- **Speech Recognition**: `speech_recognition` library for converting audio to text | |
- **Translation**: `deep_translator` with Google Translate for accurate text translation | |
- **Sentiment Analysis**: | |
- For text: Hugging Face Transformer models (e.g., BERT-based sentiment classification) | |
- For voice: A local emotion detection model to analyze audio tone | |
--- | |
### π― Why VoiceBridge? | |
VoiceBridge is created to: | |
- Break language barriers in real-time | |
- Help understand the emotional intent of communication | |
- Enable better interaction in global, multicultural environments | |
- Support accessibility and learning | |
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### π¨βπ» Developer Info | |
**Developed by**: Ayush & Manav | |
π [GitHub](https://github.com/yourusername) | [LinkedIn](https://linkedin.com/in/yourprofile) | |
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π VoiceBridge is open for collaboration and feedback. Let's bridge the gap between voices and languages! π¬π | |
""") | |