Update app.py
Browse files
app.py
CHANGED
@@ -4,7 +4,7 @@ import tempfile
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import subprocess
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# Set Streamlit app title
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st.title("Audio
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# Function to process the audio file
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def separate_audio(audio_path):
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@@ -17,10 +17,7 @@ def separate_audio(audio_path):
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print(f"{gradio_temp_path=}")
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print(f"{audio_filename=}")
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# command = f"spleeter separate -o {gradio_temp_path} -p spleeter:2stems {audio_path}"
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command = f"spleeter separate -p spleeter:2stems {audio_path}"
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# command = f"ls {gradio_temp_path}"
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# command = f"cp {audio_path} output/test.wav"
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command = command.split()
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print(f"{command=}")
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@@ -37,22 +34,71 @@ def separate_audio(audio_path):
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return vocals_path, accompaniment_path
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# Streamlit app content
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st.write("Upload an audio file
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uploaded_file = st.file_uploader("Choose a file", type=["wav","mp3"])
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if uploaded_file is not None:
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# Save the uploaded file to a temporary location
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with tempfile.NamedTemporaryFile(delete=False) as temp_file:
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temp_file.write(uploaded_file.read())
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temp_file_path = temp_file.name
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# Process the uploaded audio file
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# Display the output files for download
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st.write("Output Files:")
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st.audio(vocals_path, format="audio/wav", start_time=0)
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st.audio(accompaniment_path, format="audio/wav", start_time=0)
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import subprocess
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# Set Streamlit app title
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st.title("Audio Separation App")
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# Function to process the audio file
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def separate_audio(audio_path):
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print(f"{gradio_temp_path=}")
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print(f"{audio_filename=}")
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command = f"spleeter separate -p spleeter:2stems {audio_path}"
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command = command.split()
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print(f"{command=}")
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return vocals_path, accompaniment_path
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def separate_audio_by_stem(audio_path, stem_count):
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print(f"{audio_path=}")
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head, tail = os.path.split(audio_path)
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gradio_temp_path = head
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audio_filename = tail.split('.')[0]
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print(f"{gradio_temp_path=}")
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print(f"{audio_filename=}")
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print(f"{stem_count=}")
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command = f"spleeter separate -p spleeter:{stem_count}stems {audio_path}"
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command = command.split()
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print(f"{command=}")
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result = subprocess.run(command)
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print(result)
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if stem_count == 2:
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accompaniment_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/accompaniment.wav"
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vocals_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/vocals.wav"
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print(f"{accompaniment_path=}")
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print(os.path.exists(accompaniment_path))
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print(f"{vocals_path=}")
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print(os.path.exists(vocals_path))
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return [vocals_path, accompaniment_path]
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elif stem_count == 4:
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vocals_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/vocals.wav"
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drums_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/drums.wav"
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bass_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/bass.wav"
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other_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/other.wav"
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print(f"{vocals_path=} \t exists: {os.path.exists(vocals_path)}")
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print(f"{drums_path=} \t exists: {os.path.exists(drums_path)}")
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print(f"{bass_path=} \t exists: {os.path.exists(bass_path)}")
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print(f"{other_path=} \t exists: {os.path.exists(other_path)}")
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return [vocals_path, drums_path, bass_path, other_path]
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# Streamlit app content
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st.write("Upload an audio file")
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uploaded_file = st.file_uploader("Choose a file", type=["wav","mp3"])
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selected_stem_count = st.radio("Select stem count", (2,3,5))
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if uploaded_file is not None:
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# Save the uploaded file to a temporary location
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with tempfile.NamedTemporaryFile(delete=False) as temp_file:
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temp_file.write(uploaded_file.read())
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temp_file_path = temp_file.name
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# Process the uploaded audio file
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separated_audio_paths = separate_audio(temp_file_path)
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# Display the output files for download
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st.write("Output Files:")
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# st.audio(vocals_path, format="audio/wav", start_time=0)
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# st.audio(accompaniment_path, format="audio/wav", start_time=0)
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for path in separated_audio_paths:
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st.audio(path, format="audio/wav", start_time=0)
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