Update app.py

app.py

@@ -1,8 +1,5 @@
 import gradio as gr
-import librosa
 from asr import transcribe, ASR_EXAMPLES, ASR_LANGUAGES, ASR_NOTE
-from tts import synthesize, TTS_EXAMPLES, TTS_LANGUAGES
-from lid import identify, LID_EXAMPLES
 
 
 
@@ -27,44 +24,6 @@ mms_transcribe = gr.Interface(
     allow_flagging="never",
 )
 
-mms_synthesize = gr.Interface(
-    fn=synthesize,
-    inputs=[
-        gr.Text(label="Input text"),
-        gr.Dropdown(
-            [f"{k} ({v})" for k, v in TTS_LANGUAGES.items()],
-            label="Language",
-            value="eng English",
-        ),
-        gr.Slider(minimum=0.1, maximum=4.0, value=1.0, step=0.1, label="Speed"),
-    ],
-    outputs=[
-        gr.Audio(label="Generated Audio", type="numpy"),
-        gr.Text(label="Filtered text after removing OOVs"),
-    ],
-    examples=TTS_EXAMPLES,
-    title="Text-to-speech",
-    description=("Generate audio in your desired language from input text."),
-    allow_flagging="never",
-)
-
-mms_identify = gr.Interface(
-    fn=identify,
-    inputs=[
-        gr.Audio(),
-    ],
-    outputs=gr.Label(num_top_classes=10),
-    examples=LID_EXAMPLES,
-    title="Language Identification",
-    description=("Identity the language of input audio."),
-    allow_flagging="never",
-)
-
-tabbed_interface = gr.TabbedInterface(
-    [mms_transcribe, mms_synthesize, mms_identify],
-    ["Speech-to-text", "Text-to-speech", "Language Identification"],
-)
-
 with gr.Blocks() as demo:
     gr.HTML(
         """
@@ -79,16 +38,13 @@ with gr.Blocks() as demo:
         "<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>"""
+        """<center>You can also finetune MMS models on your data using the recipes provides <a href='https://huggingface.co/blog/mms_adapters'>here</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()
+    mms_transcribe.render()
     gr.HTML(
         """
             <div class="footer" style="text-align:center">