Fix HF CPU runtime by forcing CPU-only torch/torchaudio wheels

Dockerfile

@@ -24,9 +24,12 @@ ENV CUDA_VISIBLE_DEVICES=""
 # So Render logs show startup output immediately
 ENV PYTHONUNBUFFERED=1
 
-# Install Python deps (torch from PyPI works on CPU when CUDA_VISIBLE_DEVICES is unset)
+# Install CPU-only torch stack first, then project deps.
+# This avoids CUDA-linked wheels that fail with libcudart.so.* on CPU Spaces.
 COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu \
+    torch==2.8.0 torchaudio==2.8.0 \
+    && pip install --no-cache-dir -r requirements.txt
 
 COPY . .
 

requirements.txt

@@ -3,7 +3,6 @@ neucodec>=0.0.4
 numpy==2.2.6
 phonemizer==3.3.0
 soundfile==0.13.1
-torch==2.8.0
 transformers==4.56.1
 resemble-perth==1.0.1
 gradio>=5.0