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Update app.py
Browse files
app.py
CHANGED
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@@ -15,7 +15,6 @@ OUTPUT_DIR = Path("nightpulse_output")
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TEMP_DIR = Path("temp_processing")
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def process_track(audio_file, cover_art_image):
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# Initialize return variables
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zip_path = None
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video_path = None
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@@ -29,19 +28,19 @@ def process_track(audio_file, cover_art_image):
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shutil.rmtree(OUTPUT_DIR)
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if TEMP_DIR.exists():
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shutil.rmtree(TEMP_DIR)
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TEMP_DIR.mkdir(parents=True, exist_ok=True)
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filename = Path(audio_file).stem
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# --- 2. Analyze BPM
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print(f"Analyzing {filename}...")
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try:
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# Mono load for robust BPM detection
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y, sr = librosa.load(audio_file, duration=60, mono=True)
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tempo, _ = librosa.beat.beat_track(y=y, sr=sr)
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# Handle different librosa return types (float vs array)
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if np.ndim(tempo) > 0:
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detected_bpm = int(round(tempo[0]))
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else:
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@@ -49,12 +48,11 @@ def process_track(audio_file, cover_art_image):
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print(f"Detected BPM: {detected_bpm}")
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except Exception as e:
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print(f"BPM Warning: {e}")
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detected_bpm = 120
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# --- 3. AI Stem Separation (Demucs) ---
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print("Separating stems...")
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try:
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# Call Demucs via subprocess to ensure clean execution
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subprocess.run([
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sys.executable, "-m", "demucs",
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"-n", "htdemucs",
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@@ -62,22 +60,27 @@ def process_track(audio_file, cover_art_image):
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audio_file
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], check=True, capture_output=True)
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except subprocess.CalledProcessError as e:
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# Catch and display the specific error from Demucs
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raise RuntimeError(f"Demucs failed: {e.stderr.decode()}")
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# Locate Stems (Robust Search)
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demucs_out = TEMP_DIR / "htdemucs"
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# Demucs might normalize filenames (spaces -> underscores), so we find the first folder
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track_folder = next(demucs_out.iterdir(), None)
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if not track_folder:
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raise FileNotFoundError("Demucs output folder missing.")
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drums_path = track_folder / "drums.wav"
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melody_path = track_folder / "other.wav"
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bass_path = track_folder / "bass.wav"
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# --- 4.
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if detected_bpm <= 0: detected_bpm = 120
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ms_per_beat = (60 / detected_bpm) * 1000
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eight_bars_ms = ms_per_beat * 4 * 8
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@@ -86,7 +89,6 @@ def process_track(audio_file, cover_art_image):
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if not source_path.exists(): return None, None
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audio = AudioSegment.from_wav(str(source_path))
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# Grab middle 8 bars
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start = len(audio) // 3
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end = start + eight_bars_ms
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@@ -95,7 +97,8 @@ def process_track(audio_file, cover_art_image):
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end = min(len(audio), eight_bars_ms)
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loop = audio[start:int(end)].fade_in(15).fade_out(15).normalize()
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loop.export(out_name, format="wav")
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return out_name, loop
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@@ -103,15 +106,13 @@ def process_track(audio_file, cover_art_image):
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loop_melody, _ = create_loop(melody_path, "MelodyLoop")
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create_loop(bass_path, "BassLoop")
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# ---
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if cover_art_image and loop_melody:
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print("Rendering Video...")
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try:
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vid_out = OUTPUT_DIR / "Promo_Video.mp4"
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audio_clip = AudioFileClip(str(loop_melody))
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img_clip = ImageClip(cover_art_image)
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# Resize to 1080w (maintain aspect ratio)
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img_clip = img_clip.resize(width=1080)
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img_clip = img_clip.set_duration(audio_clip.duration)
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img_clip = img_clip.set_audio(audio_clip)
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@@ -122,11 +123,15 @@ def process_track(audio_file, cover_art_image):
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except Exception as e:
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print(f"Video skipped: {e}")
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# ---
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zip_file = "NightPulse_Pack.zip"
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with zipfile.ZipFile(zip_file, 'w') as zf:
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for
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zip_path = zip_file
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return zip_path, video_path
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@@ -142,11 +147,11 @@ iface = gr.Interface(
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gr.Image(type="filepath", label="Upload Cover Art")
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],
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outputs=[
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gr.File(label="Download ZIP"),
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gr.Video(label="Preview Video")
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],
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title="Night Pulse Audio | Automator",
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description="Night Pulse Pipeline v1.
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)
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if __name__ == "__main__":
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TEMP_DIR = Path("temp_processing")
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def process_track(audio_file, cover_art_image):
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zip_path = None
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video_path = None
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shutil.rmtree(OUTPUT_DIR)
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if TEMP_DIR.exists():
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shutil.rmtree(TEMP_DIR)
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# Create subfolders for organization
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(OUTPUT_DIR / "Stems").mkdir(parents=True, exist_ok=True)
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(OUTPUT_DIR / "Loops").mkdir(parents=True, exist_ok=True)
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TEMP_DIR.mkdir(parents=True, exist_ok=True)
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filename = Path(audio_file).stem
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# --- 2. Analyze BPM (Librosa) ---
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print(f"Analyzing {filename}...")
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try:
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y, sr = librosa.load(audio_file, duration=60, mono=True)
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tempo, _ = librosa.beat.beat_track(y=y, sr=sr)
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if np.ndim(tempo) > 0:
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detected_bpm = int(round(tempo[0]))
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else:
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print(f"Detected BPM: {detected_bpm}")
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except Exception as e:
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print(f"BPM Warning: {e}")
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detected_bpm = 120
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# --- 3. AI Stem Separation (Demucs) ---
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print("Separating stems...")
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try:
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subprocess.run([
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sys.executable, "-m", "demucs",
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"-n", "htdemucs",
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audio_file
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], check=True, capture_output=True)
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except subprocess.CalledProcessError as e:
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raise RuntimeError(f"Demucs failed: {e.stderr.decode()}")
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demucs_out = TEMP_DIR / "htdemucs"
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track_folder = next(demucs_out.iterdir(), None)
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if not track_folder: raise FileNotFoundError("Demucs output folder missing.")
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# Map the raw stems
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drums_path = track_folder / "drums.wav"
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melody_path = track_folder / "other.wav"
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bass_path = track_folder / "bass.wav"
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vocals_path = track_folder / "vocals.wav"
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# --- 4. EXPORT FULL STEMS (New Step) ---
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# Copy the full length files to the Stems folder
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if drums_path.exists(): shutil.copy(drums_path, OUTPUT_DIR / "Stems" / f"{detected_bpm}BPM_Full_Drums.wav")
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if melody_path.exists(): shutil.copy(melody_path, OUTPUT_DIR / "Stems" / f"{detected_bpm}BPM_Full_Melody.wav")
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if bass_path.exists(): shutil.copy(bass_path, OUTPUT_DIR / "Stems" / f"{detected_bpm}BPM_Full_Bass.wav")
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if vocals_path.exists(): shutil.copy(vocals_path, OUTPUT_DIR / "Stems" / f"{detected_bpm}BPM_Full_Vocals.wav")
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# --- 5. Loop Logic (The Chop) ---
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if detected_bpm <= 0: detected_bpm = 120
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ms_per_beat = (60 / detected_bpm) * 1000
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eight_bars_ms = ms_per_beat * 4 * 8
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if not source_path.exists(): return None, None
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audio = AudioSegment.from_wav(str(source_path))
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start = len(audio) // 3
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end = start + eight_bars_ms
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end = min(len(audio), eight_bars_ms)
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loop = audio[start:int(end)].fade_in(15).fade_out(15).normalize()
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# Save to Loops folder
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out_name = OUTPUT_DIR / "Loops" / f"{detected_bpm}BPM_{output_name}.wav"
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loop.export(out_name, format="wav")
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return out_name, loop
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loop_melody, _ = create_loop(melody_path, "MelodyLoop")
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create_loop(bass_path, "BassLoop")
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# --- 6. Video Generation ---
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if cover_art_image and loop_melody:
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print("Rendering Video...")
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try:
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vid_out = OUTPUT_DIR / "Promo_Video.mp4"
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audio_clip = AudioFileClip(str(loop_melody))
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img_clip = ImageClip(cover_art_image)
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img_clip = img_clip.resize(width=1080)
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img_clip = img_clip.set_duration(audio_clip.duration)
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img_clip = img_clip.set_audio(audio_clip)
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except Exception as e:
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print(f"Video skipped: {e}")
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# --- 7. Zip Export ---
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zip_file = "NightPulse_Pack.zip"
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with zipfile.ZipFile(zip_file, 'w') as zf:
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for root, dirs, files in os.walk(OUTPUT_DIR):
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for file in files:
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file_path = Path(root) / file
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# Create structure inside zip (Stems/file.wav, Loops/file.wav)
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arcname = file_path.relative_to(OUTPUT_DIR)
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zf.write(file_path, arcname)
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zip_path = zip_file
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return zip_path, video_path
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gr.Image(type="filepath", label="Upload Cover Art")
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],
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outputs=[
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gr.File(label="Download Full Pack (ZIP)"),
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gr.Video(label="Preview Video")
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],
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title="Night Pulse Audio | Automator",
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description="Night Pulse Pipeline v1.3 (Full Stems Included)"
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)
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if __name__ == "__main__":
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