Update README.md

README.md

@@ -8,5 +8,38 @@ sdk_version: 5.18.0
 app_file: app.py
 pinned: false
 ---
+Here's a refined version of your text with improved clarity and flow:  
+
+---
+Here's a refined version of your text with improved clarity and flow:  
+
+---
+Here's a refined version of your text with improved clarity and flow:  
+
+---
+
+### **Storytelling Text-to-Speech (TTS) Application**  
+
+#### **Project Objectives**  
+This project aims to develop an interactive Text-to-Speech (TTS) application that enables users to input stories and have them narrated using diverse voices in multiple languages.  
+
+#### **Implemented Pipelines**  
+The application leverages the Edge TTS service for high-quality voice synthesis, offering a range of neural voices across different languages. Key functionalities include:  
+
+- **Text Input:** Users can enter the story they wish to convert into speech.  
+- **Language Selection:** A dropdown menu allows users to choose from various languages, including English and Arabic.  
+- **Speaker Selection:** Based on the selected language, users can pick from a list of available speakers.  
+- **Audio Generation:** Clicking the “Generate Magical Audio” button processes the text and produces an audio file.  
+- **Audio Playback:** The generated audio file is displayed, allowing users to listen to the narration.  
+
+#### **How to Use the Interface**  
+1. **Enter Your Story:** Type your text into the provided input field.  
+2. **Select Language:** Choose your preferred language from the dropdown menu.  
+3. **Pick a Speaker:** Select a speaker corresponding to the chosen language.  
+4. **Generate Audio:** Click the "Generate Magical Audio" button to create the narration.  
+5. **Listen to the Output:** Once generated, the audio file will be available for playback.  
+
+#### **Justification for Model and Pipeline Choices**  
+- **Edge TTS Service:** Chosen for its advanced neural voice synthesis, Edge TTS delivers natural-sounding speech and supports multiple languages, enhancing the storytelling experience.  
+- **User-Friendly Interface:** The application is built using Gradio, ensuring an intuitive and interactive user experience for seamless text-to-speech conversion.  
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference