Update app.py

app.py

@@ -65,9 +65,29 @@ tabbed_interface = gr.TabbedInterface(
     ["Speech-to-text", "Text-to-speech", "Language Identification"],
 )
 
-with gr.Blocks(theme="Nymbo/Nymbo_Theme") as demo:
+with gr.Blocks() as demo:
     gr.Markdown(
-        "<p align='center' style='font-size: 20px;'> MMS: Text-to-Speech, Speech-to-Text, and Language Recognition for 1,100+ languages.</p>"
+        "<p align='center' style='font-size: 20px;'>MMS: Scaling Speech Technology to 1000+ languages demo. See our <a href='https://ai.facebook.com/blog/multilingual-model-speech-recognition/'>blog post</a> and <a href='https://arxiv.org/abs/2305.13516'>paper</a>.</p>"
+    )
+    gr.HTML(
+        """<center>Click on the appropriate tab to explore Speech-to-text (ASR), Text-to-speech (TTS) and Language identification (LID) demos.   </center>"""
+    )
+    gr.HTML(
+        """<center>You can also finetune MMS models on your data using the recipes provides here - <a href='https://huggingface.co/blog/mms_adapters'>ASR</a> <a href='https://github.com/ylacombe/finetune-hf-vits'>TTS</a>  </center>"""
+    )
+    gr.HTML(
+        """<center><a href="https://huggingface.co/spaces/facebook/MMS?duplicate=true"  style="display: inline-block;margin-top: .5em;margin-right: .25em;" target="_blank"><img style="margin-bottom: 0em;display: inline;margin-top: -.25em;" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> for more control and no queue.</center>"""
+    )
+
+    tabbed_interface.render()
+    gr.HTML(
+        """
+            <div class="footer" style="text-align:center">
+                <p>
+                    Model by <a href="https://ai.facebook.com" style="text-decoration: underline;" target="_blank">Meta AI</a> - Gradio Demo by 🤗 Hugging Face
+                </p>
+            </div>
+           """
     )
 
 if __name__ == "__main__":