Update app.py

app.py

@@ -1,64 +1,41 @@
 import gradio as gr
-import librosa
 from asr import transcribe
-from tts import synthesize
-
-def identify(microphone, file_upload):
-    LID_SAMPLING_RATE = 16_000
-
-    if (microphone is not None) and (file_upload is not None):
-        return "WARNING: Using microphone input. Uploaded file will be ignored."
-
-    if (microphone is None) and (file_upload is None):
-        return "ERROR: Provide an audio file or use the microphone."
-
-    audio_fp = microphone if microphone is not None else file_upload
-    inputs = librosa.load(audio_fp, sr=LID_SAMPLING_RATE, mono=True)[0]
-
-    return {"Faroese": 1.0}
-
-demo = gr.Blocks()
-
-mms_transcribe = gr.Interface(
-    fn=transcribe,
-    inputs=[
-        gr.Audio(source="microphone", type="filepath"),
-        gr.Audio(source="upload", type="filepath"),
-    ],
-    outputs="text",
-    title="Speech-to-text",
-    description="Transcribe audio!",
-    allow_flagging="never",
-)
-
-mms_synthesize = gr.Interface(
-    fn=synthesize,
-    inputs=[
-        gr.Text(label="Input text"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=1.0, step=0.1, label="Speed"),
-    ],
-    outputs=gr.Audio(label="Generated Audio", type="numpy"),
-    title="Text-to-speech",
-    description="Generate audio!",
-    allow_flagging="never",
-)
+from tts import synthesize_speech
+from lid import identify_language
+
+def main():
+    asr_interface = gr.Interface(
+        fn=transcribe,
+        inputs=[
+            gr.Audio(source="microphone", type="filepath", label="Microphone"),
+            gr.Audio(source="upload", type="filepath", label="Upload")
+        ],
+        outputs="text",
+        title="Faroese ASR Demo",
+        description="Automatic Speech Recognition for Faroese"
+    )
 
-mms_identify = gr.Interface(
-    fn=identify,
-    inputs=[
-        gr.Audio(source="microphone", type="filepath"),
-        gr.Audio(source="upload", type="filepath"),
-    ],
-    outputs=gr.Label(num_top_classes=1),
-    title="Language Identification",
-    description="Identify the language of audio!",
-    allow_flagging="never",
-)
+    tts_interface = gr.Interface(
+        fn=synthesize_speech,
+        inputs="text",
+        outputs="audio",
+        title="Faroese TTS Demo",
+        description="Text-to-Speech Synthesis for Faroese"
+    )
 
-with demo:
-    gr.TabbedInterface(
-        [mms_synthesize, mms_transcribe, mms_identify],
-        ["Text-to-speech", "Speech-to-text", "Language Identification"],
+    lid_interface = gr.Interface(
+        fn=identify_language,
+        inputs=[
+            gr.Audio(source="microphone", type="filepath", label="Microphone"),
+            gr.Audio(source="upload", type="filepath", label="Upload")
+        ],
+        outputs="label",
+        title="Language Identification",
+        description="Identify the language of the spoken input"
     )
 
-demo.launch()
+    demo = gr.TabbedInterface([asr_interface, tts_interface, lid_interface], ["ASR", "TTS", "LID"])
+    demo.launch()
+
+if __name__ == "__main__":
+    main()