Update Dockerfile

Dockerfile

@@ -7,14 +7,14 @@ ENV PYTHONDONTWRITEBYTECODE=1 \
     HF_HOME=/app/.cache \
     TRANSFORMERS_VERBOSITY=error
 
-# Create directories with proper permissions (FIXED TYPO HERE)
+# Create directories with proper permissions
 WORKDIR /app
 RUN mkdir -p /app/.cache /app/models && \
-    chmod -R 777 /app/.cache /app/models  # <-- Fixed path from /app.models to /app/models
+    chmod -R 777 /app/.cache /app/models
 
-# Install system dependencies
+# Install system dependencies (ADDED ca-certificates)
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    libsndfile1 ffmpeg && \
+    libsndfile1 ffmpeg ca-certificates && \
     rm -rf /var/lib/apt/lists/*
 
 # Install Python dependencies
@@ -22,17 +22,21 @@ COPY requirements.txt .
 RUN pip install --no-cache-dir -U pip && \
     pip install --no-cache-dir -r requirements.txt
 
-# Pre-download ALL models (TTS + sentiment)
+# Pre-download TTS model
 RUN python -c "from transformers import AutoTokenizer, AutoProcessor, BarkModel; \
                model_name = 'suno/bark-small'; \
+               print(f'Downloading {model_name}...'); \
                tokenizer = AutoTokenizer.from_pretrained(model_name); \
                processor = AutoProcessor.from_pretrained(model_name); \
                model = BarkModel.from_pretrained(model_name); \
                tokenizer.save_pretrained('/app/models/suno-bark'); \
                processor.save_pretrained('/app/models/suno-bark'); \
-               model.save_pretrained('/app/models/suno-bark')" && \
-    python -c "from transformers import AutoModelForSequenceClassification, AutoTokenizer; \
+               model.save_pretrained('/app/models/suno-bark')"
+
+# Pre-download sentiment model (SEPARATED INTO ITS OWN STEP)
+RUN python -c "from transformers import AutoModelForSequenceClassification, AutoTokenizer; \
                model_name = 'cardiffnlp/twitter-xlm-roberta-base-sentiment'; \
+               print(f'Downloading {model_name}...'); \
                tokenizer = AutoTokenizer.from_pretrained(model_name); \
                model = AutoModelForSequenceClassification.from_pretrained(model_name); \
                tokenizer.save_pretrained('/app/models/sentiment'); \