Delete app.py
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app.py
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from fastapi import FastAPI, UploadFile, File, Form
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from fastapi.responses import FileResponse
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from fastapi.middleware.cors import CORSMiddleware
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import librosa
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import numpy as np
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from pydub import AudioSegment, effects
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import uuid, os, json
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# =====================================================
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# APP
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# =====================================================
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app = FastAPI(title="MONX DJ API")
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# =====================================================
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# PATHS
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# =====================================================
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STATE_PATH = "monx_dj_state.json"
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UPLOAD_DIR = "uploads"
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OUTPUT_DIR = "outputs"
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os.makedirs(UPLOAD_DIR, exist_ok=True)
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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# =====================================================
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# STATE
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# =====================================================
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DEFAULT_STATE = {
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"weights": {
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"bpm": 0.35,
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"energy": 0.30,
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"smooth": 0.20,
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"drop_penalty": 0.15
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},
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"avg_score": 0.5,
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"runs": 0
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}
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def load_state():
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if os.path.exists(STATE_PATH):
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with open(STATE_PATH, "r") as f:
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return json.load(f)
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return DEFAULT_STATE.copy()
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def save_state(state):
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with open(STATE_PATH, "w") as f:
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json.dump(state, f, indent=2)
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state = load_state()
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weights = state["weights"]
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# =====================================================
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# AUDIO ANALYSIS
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# =====================================================
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def analyze_audio(path):
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y, sr = librosa.load(path, mono=True)
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onset_env = librosa.onset.onset_strength(y=y, sr=sr)
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try:
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tempo = float(librosa.beat.tempo(onset_envelope=onset_env, sr=sr)[0])
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except:
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tempo = 120.0
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rms = librosa.feature.rms(y=y)[0]
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rms = librosa.util.normalize(rms)
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drops = [
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i for i in range(10, len(rms) - 10)
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if rms[i] > np.mean(rms[i-10:i-1]) * 1.4
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]
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return {"tempo": tempo, "energy": rms, "drops": drops}
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# =====================================================
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# CORE LOGIC
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# =====================================================
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def score_transition(a, b, t):
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bpm_sim = max(0, 1 - abs(a["tempo"] - b["tempo"]) / 35)
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energy_sim = max(0, 1 - abs(a["energy"][t] - b["energy"][0]))
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drop_penalty = 1 if t in a["drops"] else 0
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return (
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weights["bpm"] * bpm_sim +
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weights["energy"] * energy_sim +
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weights["smooth"] * ((bpm_sim + energy_sim) / 2) -
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weights["drop_penalty"] * drop_penalty
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)
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def bpm_adjust(segment, from_bpm, to_bpm):
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ratio = from_bpm / to_bpm if from_bpm > 0 and to_bpm > 0 else 1
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if abs(1 - ratio) > 0.20:
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return segment
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new_rate = int(segment.frame_rate * ratio)
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return segment._spawn(
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segment.raw_data,
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overrides={"frame_rate": new_rate}
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).set_frame_rate(segment.frame_rate)
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# =====================================================
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# API ENDPOINT
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# =====================================================
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@app.post("/mix")
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async def mix(
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files: list[UploadFile] = File(...),
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durations: str = Form("90,90"),
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crossfade_sec: int = Form(12)
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):
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durs = [float(x.strip()) for x in durations.split(",")]
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tracks, analyses = [], []
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for f in files:
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path = os.path.join(UPLOAD_DIR, f"{uuid.uuid4().hex}_{f.filename}")
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with open(path, "wb") as out:
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out.write(await f.read())
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audio = effects.normalize(AudioSegment.from_file(path))
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tracks.append(audio)
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analyses.append(analyze_audio(path))
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mix = AudioSegment.silent(0)
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for i in range(len(tracks)):
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segment = tracks[i][:int(durs[i] * 1000)]
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if i == 0:
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mix = segment
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continue
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prev, curr = analyses[i - 1], analyses[i]
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best_t = max(
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range(5, min(len(prev["energy"]) - 1, 50)),
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key=lambda t: score_transition(prev, curr, t)
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)
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mix = mix.append(segment, crossfade=int(crossfade_sec * 1000))
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out_path = os.path.join(
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OUTPUT_DIR, f"monx_mix_{uuid.uuid4().hex}.m4a"
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)
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mix.export(out_path, format="ipod", codec="aac", bitrate="192k")
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state["runs"] += 1
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save_state(state)
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return FileResponse(
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out_path,
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media_type="audio/mp4",
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filename="monx_mix.m4a"
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)
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