Create app.py

app.py

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+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
+
+
+
+mms_transcribe = gr.Interface(
+    fn=transcribe,
+    inputs=[
+        gr.Audio(),
+        gr.Dropdown(
+            [f"{k} ({v})" for k, v in ASR_LANGUAGES.items()],
+            label="Language",
+            value="eng English",
+        ),
+        # gr.Checkbox(label="Use Language Model (if available)", default=True),
+    ],
+    outputs="text",
+    examples=ASR_EXAMPLES,
+    title="Speech-to-text",
+    description=(
+        "Transcribe audio from a microphone or input file in your desired language."
+    ),
+    article=ASR_NOTE,
+    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.Markdown(
+        "<p align='center' style='font-size: 20px;'>MMS</p>"
+    )
+    gr.HTML(
+        """<center>Text-to-Speech, Speech-to-Text, and Language Recognition for 1,100+ languages.</center>"""
+    )
+
+    tabbed_interface.render()
+
+if __name__ == "__main__":
+    demo.queue()
+    demo.launch()