Move GPU decorator to transcription; provider chain runs on CPU; report chain errors

app.py

@@ -61,14 +61,25 @@ def _audio_duration(path):
         return 0.0
 
 
+@spaces.GPU(duration=120)
+def _transcribe_gpu(audio_path, model_choice):
+    """Real GPU work (Whisper on CUDA) — the Space's @spaces.GPU function.
+    ZeroGPU attaches the GPU only inside decorated calls and aborts decorated
+    functions that never use it, so the GPU belongs on transcription, not on
+    the HTTP provider chain."""
+    return do_transcribe(_job(), Path(audio_path), model_choice or "small")
+
+
 def transcribe(audio_path, model_choice):
     if not audio_path:
         return None, "", "Upload a song first."
-    jid = _job()
     try:
-        res = do_transcribe(jid, Path(audio_path), model_choice or "small")
-    except Exception as e:
-        return None, "", f"⚠️ Transcription failed — {type(e).__name__}: {e}"
+        res = _transcribe_gpu(audio_path, model_choice)  # fast path: real GPU
+    except Exception:
+        try:
+            res = do_transcribe(_job(), Path(audio_path), model_choice or "small")  # CPU fallback
+        except Exception as e:
+            return None, "", f"⚠️ Transcription failed — {type(e).__name__}: {e}"
     segs = res["segments"]
     text = "\n".join(f"{_fmt_ts(s['start'])}  {s['text']}" for s in segs)
     return segs, text, f"Transcribed {len(segs)} lines ({res['language']}, {res['duration']:.0f}s). Now build the director plan."
@@ -183,10 +194,11 @@ def render_smooth(clips, windows, audio, segments, out_path):
     return Path(out_path)
 
 
-@spaces.GPU(duration=120)
 def ai_clip(image_path, prompt, novai_key, deepinfra_key, novita_key, fal_key):
     """Generate ONE AI clip through the provider chain (first free tier that
-    answers wins). This is the Space's @spaces.GPU handler."""
+    answers wins). Deliberately NOT @spaces.GPU: ZeroGPU aborts decorated
+    functions that never touch the GPU, and this work is pure HTTP polling —
+    it runs on CPU. The decorator lives on _transcribe_gpu instead."""
     keys = _keys(novai_key, deepinfra_key, novita_key, fal_key)
     if not any(keys.values()):
         raise gr.Error("No provider keys available — add one in the key fields above or save them as Space secrets.")
@@ -215,6 +227,10 @@ def make_video(audio_path, image_path, segs, shots, use_ai,
         return
     keys = _keys(novai_key, deepinfra_key, novita_key, fal_key)
     chain_on = bool(use_ai and any(keys.values()))
+    chain_note = ""
+    if use_ai and not chain_on:
+        chain_note = "\n\n⚠️ Provider chain was OFF — no provider keys found (key fields empty and no Space secrets visible), so every shot used photo-zoom."
+    chain_error = None
     duration = _audio_duration(audio_path)
     if segs is None:
         progress(0.05, desc="Transcribing your song…")
@@ -238,8 +254,10 @@ def make_video(audio_path, image_path, segs, shots, use_ai,
             try:
                 path, who = providers.generate_with_chain(keys, image_path, shot["prompt"], target, out)
                 made = (path, who)
-            except providers.ProviderError:
+            except providers.ProviderError as e:
                 made = None  # photo-zoom fills this shot
+                if chain_error is None:
+                    chain_error = str(e)
         if made is None:
             jid = _job()
             res = do_photoclip(jid, Path(image_path), target, variant=i % 4)
@@ -257,7 +275,9 @@ def make_video(audio_path, image_path, segs, shots, use_ai,
         res = do_render(jid, Path(audio_path), [p.name for p in clip_paths], "", segs)
         final = FILES / Path(res["video_url"]).name
         how = f"{total} shots, hard-cut render (crossfade unavailable)"
-    yield str(final), f"Done — your music video is ready ({how}).\n" + "\n".join(used)
+    if chain_error:
+        chain_note += f"\n\n⚠️ Provider chain report (first failure): {chain_error}"
+    yield str(final), f"Done — your music video is ready ({how}).\n" + "\n".join(used) + chain_note
 
 
 with gr.Blocks(title="AllOutMV") as demo: