Update app.py

app.py

@@ -1,28 +1,29 @@
 #!/usr/bin/env python3
 """
-GhostAI Music Generator — ZeroGPU Space
-Streams facebook/musicgen-medium with dynamic GPU bursts.
+GhostAI Music Generator – ZeroGPU Edition
+• Streams facebook/musicgen-medium from the Hub using your HF_TOKEN
+• Runs on a transient GPU provided by the ZeroGPU scheduler
+• Keeps your genre prompt builders, EQ / fade FX, neon Gradio UI
 """
 
-# 0️⃣  Import spaces *first* so CUDA isn’t touched beforehand
-import spaces                          # HF ZeroGPU decorator
+# ── ZeroGPU decorator must be imported *before* torch/CUDA ──────────
+import spaces                                  # 👈 FIRST import
 
-# 1️⃣  Standard libs
-import os, sys, gc, time, warnings, random, tempfile
+# ── Standard libs ───────────────────────────────────────────────────
+import os, sys, gc, time, random, warnings, tempfile
 import numpy as np, psutil
 
-# 2️⃣  Torch (CPU wheels; ZeroGPU migrates tensors when needed)
+# ── Torch (CPU wheels; ZeroGPU moves tensors to the temp GPU) ───────
 import torch, torchaudio
 
-# 3️⃣  Other deps
+# ── Other deps ──────────────────────────────────────────────────────
 import gradio as gr
 from pydub import AudioSegment
 from audiocraft.models import MusicGen
 from huggingface_hub import login
 from torch.cuda.amp import autocast
 
-# ────────────────────────────────────────────────────────────────────
-# Torch <2.3 shim (transformers may call torch.get_default_device)
+# ── Torch <2.3 shim (transformers 4.35 calls get_default_device) ───
 if not hasattr(torch, "get_default_device"):
     torch.get_default_device = lambda: torch.device(
         "cuda" if torch.cuda.is_available() else "cpu"
@@ -31,32 +32,27 @@ if not hasattr(torch, "get_default_device"):
 warnings.filterwarnings("ignore")
 os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "max_split_size_mb:128"
 
-# 🔑  Authenticate so we can pull the model
+# ────────────────────────── HF authentication ──────────────────────
 HF_TOKEN = os.getenv("HF_TOKEN")
 if not HF_TOKEN:
-    sys.exit("ERROR: Add HF_TOKEN as a secret in your Space.")
+    sys.exit("ERROR: add HF_TOKEN as a secret in your Space settings.")
 login(HF_TOKEN)
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
-print(f"ZeroGPU detected → initial device is {device.upper()}")
-
-# 📥  Download model from Hub
-print("Loading facebook/musicgen-medium … (first run may take ~6 GB download)")
+print("🔄  Loading facebook/musicgen-medium (first build ≈ 6 GB)…")
 musicgen = MusicGen.get_pretrained("facebook/musicgen-medium")
+musicgen.to(torch.get_default_device())            # move entire model
 musicgen.set_generation_params(duration=10, two_step_cfg=False)
-SAMPLE_RATE = musicgen.sample_rate
-
+SR = musicgen.sample_rate
 
-# ╭──────────────────────────────────────────────────────────────╮
-# │ Prompt helpers (kept exactly from your original script)      │
-# ╰──────────────────────────────────────────────────────────────╯
-def _p(base,bpm,dr,syn,st,bass,gtr,dflt_bass,dflt_gtr,flow):
+# ────────────────────────── Prompt helpers ─────────────────────────
+def _p(base,bpm,dr,syn,st,bass,gtr,db,dg,flow):
     step = f" with {st}" if st!="none" else flow.format(bpm=bpm)
-    dr   = f", {dr} drums"          if dr!="none" else ""
-    syn  = f", {syn} accents"       if syn!="none" else ""
-    bass = f", {bass}"              if bass!="none" else dflt_bass
-    gtr  = f", {gtr} guitar riffs"  if gtr!="none" else dflt_gtr
-    return f"{base}{bass}{gtr}{dr}{syn}{step} at {bpm} BPM."
+    return (f"{base}"
+            f"{', '+bass if bass!='none' else db}"
+            f"{', '+gtr+' guitar riffs' if gtr!='none' else dg}"
+            f"{', '+dr+' drums' if dr!='none' else ''}"
+            f"{', '+syn+' accents' if syn!='none' else ''}"
+            f"{step} at {bpm} BPM.")
 
 def set_red_hot_chili_peppers_prompt(bpm,dr,syn,st,bass,gtr):
     return _p("Instrumental funk rock",bpm,dr,syn,st,bass,gtr,
@@ -66,25 +62,22 @@ def set_nirvana_grunge_prompt(bpm,dr,syn,st,bass,gtr):
     return _p("Instrumental grunge",bpm,dr,syn,st,bass,gtr,
               ", melodic basslines",", raw distorted guitar riffs",
               "{bpm} BPM grungy pulse" if bpm>120 else "grungy rhythmic pulse")
-# … include your other genre functions unchanged …
+# 👉 add your other genre prompt functions here exactly as before …
 
-# Audio FX
+# ────────────────────────── Audio FX helpers ───────────────────────
 def apply_eq(s):   return s.low_pass_filter(8000).high_pass_filter(80)
 def apply_fade(s): return s.fade_in(1000).fade_out(1000)
 
 def log(stage=""):
     if stage: print(f"── {stage} ──")
     if torch.cuda.is_available():
-        alloc = torch.cuda.memory_allocated()/1024**3
-        res   = torch.cuda.memory_reserved()/1024**3
-        print(f"GPU mem alloc {alloc:.2f} GB  reserved {res:.2f} GB")
+        a = torch.cuda.memory_allocated()/1024**3
+        r = torch.cuda.memory_reserved()/1024**3
+        print(f"GPU mem alloc {a:.2f} GB  reserved {r:.2f} GB")
     print(f"CPU mem {psutil.virtual_memory().percent}% used")
 
-
-# ╭──────────────────────────────────────────────────────────────╮
-# │  Core generator — wrapped with @spaces.GPU                   │
-# ╰──────────────────────────────────────────────────────────────╯
-@spaces.GPU
+# ──────────────────────── Core generator API ───────────────────────
+@spaces.GPU                     # 🟢 ZeroGPU will allocate a GPU per call
 def generate_music(prompt,cfg,k,p,temp,
                    total_len,chunk_len,xfade,
                    bpm,dr,syn,step,bass,gtr):
@@ -92,36 +85,35 @@ def generate_music(prompt,cfg,k,p,temp,
     if not prompt.strip():
         return None, "⚠️ Prompt is empty."
 
-    total_len = int(total_len)
-    chunk_len = max(5, min(int(chunk_len), 15))
-    n_chunks  = max(1, total_len // chunk_len)
-    chunk_len = total_len / n_chunks
-    overlap   = min(1.0, xfade / 1000.0)
-    render    = chunk_len + overlap
-    pieces    = []
+    total_len  = int(total_len)
+    chunk_len  = max(5, min(int(chunk_len), 15))
+    n_chunks   = max(1, total_len // chunk_len)
+    chunk_len  = total_len / n_chunks
+    overlap    = min(1.0, xfade / 1000.0)
+    render_len = chunk_len + overlap
+    pieces     = []
 
     torch.manual_seed(42); np.random.seed(42)
-
     t0 = time.time()
+
     for i in range(n_chunks):
         log(f"before chunk {i+1}")
         musicgen.set_generation_params(
-            duration=render, use_sampling=True,
+            duration=render_len, use_sampling=True,
             top_k=k, top_p=p, temperature=temp, cfg_coef=cfg
         )
         with torch.no_grad(), autocast():
             audio = musicgen.generate([prompt], progress=False)[0]
 
         audio = audio.cpu().float()
-        if audio.dim()==1:      audio = audio.repeat(2,1)
-        elif audio.shape[0]==1: audio = audio.repeat(2,1)
-        elif audio.shape[0]!=2: audio = audio[:1].repeat(2,1)
-
+        if audio.dim()==1 or audio.shape[0]==1:
+            audio = audio.repeat(2,1)
         with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
-            torchaudio.save(tmp.name, audio, SAMPLE_RATE)
+            torchaudio.save(tmp.name, audio, SR)
             seg = AudioSegment.from_wav(tmp.name)
         os.unlink(tmp.name)
         pieces.append(seg)
+
         torch.cuda.empty_cache(); gc.collect()
         log(f"after chunk {i+1}")
 
@@ -131,25 +123,22 @@ def generate_music(prompt,cfg,k,p,temp,
     track = track[: total_len*1000]
     track = apply_fade(apply_eq(track).normalize(headroom=-9.0))
 
-    out_file = "output_cleaned.mp3"
-    track.export(out_file, format="mp3", bitrate="128k",
+    out_path = "output_cleaned.mp3"
+    track.export(out_path, format="mp3", bitrate="128k",
                  tags={"title":"GhostAI Track","artist":"GhostAI"})
-    log("final"); print(f"Total {time.time()-t0:.1f}s")
-    return out_file, "✅ Done!"
+    log("final"); print(f"⏱  {time.time()-t0:.1f}s total")
+    return out_path, "✅ Done!"
 
 def clear_inputs():
     return ("",3.0,250,0.9,1.0,30,10,1000,
             120,"none","none","none","none","none")
 
-# ╭──────────────────────────────────────────────────────────────╮
-# │  Gradio Blocks UI with your CSS & controls                   │
-# ╰──────────────────────────────────────────────────────────────╯
+# ────────────────────────── Gradio UI ──────────────────────────────
 css = "body{background:#0A0A0A;color:#E0E0E0;font-family:'Orbitron',sans-serif}"
 
 with gr.Blocks(css=css) as demo:
     gr.HTML("<h1 style='text-align:center'>👻 GhostAI Music Generator</h1>")
-    prompt = gr.Textbox(label="Prompt", lines=4)
-
+    prompt = gr.Textbox(lines=4, label="Instrumental Prompt")
     with gr.Row():
         gr.Button("RHCP 🌶️").click(set_red_hot_chili_peppers_prompt,
             inputs=[gr.State(120),"none","none","none","none","none"],
@@ -157,13 +146,13 @@ with gr.Blocks(css=css) as demo:
         gr.Button("Nirvana 🎸").click(set_nirvana_grunge_prompt,
             inputs=[gr.State(120),"none","none","none","none","none"],
             outputs=prompt)
-        # add more genre buttons here …
+        # 📌 add remaining genre buttons here …
 
-    cfg   = gr.Slider(1,10,3,label="CFG")
+    cfg   = gr.Slider(1,10,3,label="CFG Scale")
     top_k = gr.Slider(10,500,250,step=10,label="Top-K")
     top_p = gr.Slider(0,1,0.9,step=0.05,label="Top-P")
     temp  = gr.Slider(0.1,2,1,step=0.1,label="Temperature")
-    length= gr.Radio([30,60,90,120],value=30,label="Length (s)")
+    length= gr.Radio([30,60,90,120], value=30, label="Length (s)")
     chunk = gr.Slider(5,15,10,step=1,label="Chunk (s)")
     xfade = gr.Slider(100,2000,1000,step=100,label="Cross-fade (ms)")
 
@@ -174,17 +163,17 @@ with gr.Blocks(css=css) as demo:
     bass  = gr.Dropdown(["none","slap bass","deep bass","melodic bass"],"none","Bass")
     gtr   = gr.Dropdown(["none","distorted","clean","jangle"],"none","Guitar")
 
-    gen = gr.Button("Generate 🎶")
+    gen = gr.Button("Generate 🚀")
     clr = gr.Button("Clear 🧹")
-    audio = gr.Audio(type="filepath")
-    status= gr.Textbox(interactive=False)
+    audio_out = gr.Audio(type="filepath")
+    status    = gr.Textbox(interactive=False)
 
     gen.click(generate_music,
-        inputs=[prompt,cfg,top_k,top_p,temp,length,chunk,xfade,
-                bpm,drum,synth,steps,bass,gtr],
-        outputs=[audio,status])
+              inputs=[prompt,cfg,top_k,top_p,temp,length,chunk,xfade,
+                      bpm,drum,synth,steps,bass,gtr],
+              outputs=[audio_out,status])
     clr.click(clear_inputs,None,
-        [prompt,cfg,top_k,top_p,temp,length,chunk,xfade,
-         bpm,drum,synth,steps,bass,gtr])
+              [prompt,cfg,top_k,top_p,temp,length,chunk,xfade,
+               bpm,drum,synth,steps,bass,gtr])
 
 demo.launch(share=False)