Make Space startup logging ASCII safe

app.py

@@ -28,7 +28,7 @@ try:
         return "ok"
     _gpu_startup_touch()
 except Exception as e:
-    print(f"Warning: ZeroGPU touch failed (running CPU-only): {e}")
+    _log(f"Warning: ZeroGPU touch failed (running CPU-only): {e}")
 
 
 # API metadata
@@ -114,6 +114,10 @@ def get_specs():
     return {**API_SPECS, "runtime": get_server_specs()["runtime"]}
 
 
+def _log(message):
+    print(message.encode("ascii", "backslashreplace").decode("ascii"), flush=True)
+
+
 # Model cache
 MODEL_CACHE = {}
 
@@ -121,13 +125,13 @@ MODEL_CACHE = {}
 def load_model(model_name):
     """Load model on demand and cache it."""
     if model_name not in MODEL_CACHE:
-        print(f"Loading {model_name} model...")
+        _log(f"Loading {model_name} model...")
         model = StableAudioModel.from_pretrained(
             model_name,
             device="cpu"
         )
         MODEL_CACHE[model_name] = model
-        print(f"{model_name} loaded successfully!")
+        _log(f"{model_name} loaded successfully!")
     return MODEL_CACHE[model_name]
 
 
@@ -136,16 +140,16 @@ def load_model(model_name):
 import threading
 
 def _prewarm():
-    print("Pre-warming models...")
+    _log("Pre-warming models...")
     for _name in ["small-music", "small-sfx"]:
         load_model(_name)
-    print("All models ready!")
+    _log("All models ready!")
 
 threading.Thread(target=_prewarm, daemon=True).start()
 
 
 def generate_audio(prompt, duration, steps, cfg_scale, seed, model_name):
-    print(f"Generating with {model_name}: prompt='{prompt}', duration={duration}s, steps={steps}, cfg={cfg_scale}, seed={seed}")
+    _log(f"Generating with {model_name}: prompt='{prompt}', duration={duration}s, steps={steps}, cfg={cfg_scale}, seed={seed}")
 
     model = load_model(model_name)
 
@@ -164,7 +168,7 @@ def generate_audio(prompt, duration, steps, cfg_scale, seed, model_name):
 
     output_path = os.path.join(tempfile.gettempdir(), f"stable_audio_{seed}_{hash(prompt) & 0xFFFFFFFF:08x}.wav")
     torchaudio.save(output_path, audio, 44100)
-    print("Generation complete!")
+    _log("Generation complete!")
     return output_path