Require transformers 5.x to match the builder's hub 1.x

transformers 4.x caps huggingface-hub below 1.0; gradio 6 and spaces both
need 1.x, so pip had no solution and the build failed. Also switch to a
string device and tolerate ffmpeg_read having moved in v5.

app.py

@@ -36,6 +36,9 @@ SAMPLE_RATE = 16000
 CHUNK_LENGTH_S = float(os.environ.get("CHUNK_LENGTH_S", "30"))
 STRIDE_LENGTH_S = float(os.environ.get("STRIDE_LENGTH_S", "5"))
 MT_BATCH = int(os.environ.get("MT_BATCH", "16"))
+# "cpu" rather than the old -1: transformers 5 takes a device string. Set
+# ASR_DEVICE=cuda:0 if this ever runs on real GPU hardware.
+DEVICE = os.environ.get("ASR_DEVICE", "cpu")
 
 # Gradio owns the process on a Gradio-SDK Space, but it is a FastAPI app
 # underneath — so the REST routes below are the real interface and the little UI
@@ -68,10 +71,10 @@ def _load(kind: str):
                     token=HF_TOKEN,
                     chunk_length_s=CHUNK_LENGTH_S,
                     stride_length_s=STRIDE_LENGTH_S,
-                    device=-1,
+                    device=DEVICE,
                 )
             else:
-                obj = pipeline("translation", model=MT_MODEL, token=HF_TOKEN, device=-1)
+                obj = pipeline("translation", model=MT_MODEL, token=HF_TOKEN, device=DEVICE)
         except Exception as e:
             _errors[kind] = f"{type(e).__name__}: {e}"
             raise
@@ -102,7 +105,10 @@ def _decode(raw: bytes) -> np.ndarray:
     Any container -> float32 mono @16k. The backend already sends 16k mono WAV,
     but decoding defensively costs nothing and keeps the service reusable.
     """
-    from transformers.pipelines.audio_utils import ffmpeg_read
+    try:
+        from transformers.pipelines.audio_utils import ffmpeg_read
+    except ImportError:                       # moved in transformers 5
+        from transformers.audio_utils import ffmpeg_read
     return ffmpeg_read(raw, SAMPLE_RATE)
 
 

requirements.txt

@@ -1,6 +1,9 @@
 # torch, gradio, uvicorn and spaces are installed by the Space builder itself
-# (and torch is pinned there) — declaring them here only creates a resolver
-# conflict, which is what failed the first build.
-transformers>=4.44,<5
+# (torch pinned there), so declaring them here only creates resolver conflicts.
+#
+# transformers must be 5.x: 4.x caps huggingface-hub below 1.0, while the
+# builder's gradio 6 / spaces stack requires 1.x. That clash is unsolvable and
+# fails the build outright.
+transformers>=5.0
 sentencepiece
 sacremoses