Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+from gradio_client import Client
+
+def infer(audio_input):
+    splt_client = Client("https://fffiloni-splittrack2musicgen.hf.space/")
+    splt_result = splt_client.predict(
+    				audio_input,	# str (filepath or URL to file) in 'Input' Audio component
+    				"vocals",	# str  in 'Track' Radio component
+    				api_name="/splt_trck"
+    )
+    print(splt_result)
+
+
+
+    whisper_client = Client("https://sanchit-gandhi-whisper-jax.hf.space/")
+    whisper_result = whisper_client.predict(
+    				split_result,	# str (filepath or URL to file) in 'inputs' Audio component
+    				"transcribe",	# str  in 'Task' Radio component
+    				True,	# bool  in 'Return timestamps' Checkbox component
+    				api_name="/predict"
+    )
+    print(whisper_result)
+
+    return "Done"
+
+with gr.Blocks(css=css) as demo:
+    with gr.Column(col-container):
+        song_in = gr.Audio(label="Song input", type="filepath", source="upload")
+        getlyrics_btn = gr.Button("Get Lyrics !")
+        lyrics_res = gr.Textbox(label="Lyrics")
+
+    getlyrics_btn.click(fn=infer, inputs=[song_in], outputs=[lyrics_res])
+
+demo.queue().launch()
+