Update app.py

app.py

@@ -69,8 +69,11 @@ iface = gr.Interface(
     title="Fine-tuning TTS for Technical Vocabulary",
     description="""
         Enter text containing technical terms or abbreviations for text-to-speech conversion. The model has been fine-tuned with a dataset specifically prepared to handle technical vocabulary and acronyms. This includes a pronunciation dictionary for terms such as API, CUDA, and OAuth. Sentence segmentation and custom pronunciation handling further optimize the output for natural, intelligible speech.
+        
         Note: Processing time may vary based on sentence length. Longer sentences may take additional time to generate speech. Additionally, the model’s performance improves as more technical terms are added to the pronunciation dictionary, enhancing accuracy for specialized vocabulary.
+        
         GitHub Repository: [Text-to-Speech Model for English Technical Speech](https://github.com/Vinay152003/Text-to-Speech_Model_for_English_Technical_Speech-Using-SpeechT5)
+        
         Report: [Project Report](https://drive.google.com/file/d/1CfnpeUi18R7De1uhilYuhMYLS_xXjh2Q/view)
     """,
     examples=[