Update README.md

README.md

@@ -1,3 +1,14 @@
+---
+title: Audio Summarizer
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
+sdk: gradio
+sdk_version: 5.6.0
+app_file: app.py
+pinned: false
+short_description: Transcribes an audio and creates a summary
+---
 # Limitations
 
 I have tested the application with audio files of varying lengths. Initially, I attempted processing audios of 1 to 2 hours, 
@@ -20,5 +31,4 @@ This app converts audio to text and then text to audio in order to create the su
 The application uses two primary models: Facebook BART and Facebook Wav2Vec, which were selected after extensive experimentation with various alternatives. Other models, such as Google T5, were tested but did not yield comparable performance or accuracy for this specific use case.
 
 - **Facebook BART**: A transformer-based model, that has a great performance in text summarization tasks.
-- **Facebook Wav2Vec**: A speech recognition model, which efficiently converts audio into accurate text transcriptions.
-
+- **Facebook Wav2Vec**: A speech recognition model, which efficiently converts audio into accurate text transcriptions.