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import streamlit as st
def about_page():
st.title("📌 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.
---
### 🚀 What Can VoiceBridge Do?
- 🗣️ Convert **voice to text** using speech recognition
- 🌐 Translate text or speech into other languages using Deep Translator (Google Translate)
- 💬 Detect the **sentiment or tone** of the message using local and cloud-based models
---
### 🔧 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
---
### 🎯 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
---
### 👨💻 Developer Info
**Developed by**: Ayush & Manav
🔗 [GitHub](https://github.com/yourusername) | [LinkedIn](https://linkedin.com/in/yourprofile)
---
🌐 VoiceBridge is open for collaboration and feedback. Let's bridge the gap between voices and languages! 💬🌍
""")
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