Update Dockerfile

Dockerfile

@@ -1,35 +1,32 @@
 FROM python:3.10-slim
 
-# Install system dependencies
 RUN apt-get update && apt-get install -y \
-    build-essential \
-    cmake \
-    git \
-    wget \
-    libopenblas-dev \
-    libsentencepiece-dev \
-    libsndfile1 \
+    build-essential cmake git wget \
+    libopenblas-dev libsentencepiece-dev libsndfile1 ffmpeg \
     && rm -rf /var/lib/apt/lists/*
 
 WORKDIR /app
 
-# Clone the repository
+# Clone and get weights
 RUN git clone https://github.com/kdrkdrkdr/MossTTS-Nano.c.git .
-
-# Download the model.bin from the release
 RUN wget https://github.com/kdrkdrkdr/MossTTS-Nano.c/releases/download/model/model.bin
 
-# Compile for Linux (Generates libnanotts.so instead of .dylib)
-# Note: We use -fPIC for a shared library and link OpenBLAS
-RUN g++ -shared -o libnanotts.so -fPIC \
-    nanotts.c tensor.c ops.c tts.c codec.c prompt.c sentencepiece.cpp audio.c \
-    -O3 -march=native -lpthread -lopenblas -lsentencepiece
+# --- LINUX COMPILATION FIX ---
+# We create a Linux-compatible assembly file for the weights
+RUN printf '.section .data\n.global weights_data\n.global weights_size\n.align 4\nweights_data:\n.incbin "model.bin"\nweights_size:\n.quad . - weights_data\n' > embed_linux.s
+
+# Compile the library for Linux (.so)
+# Note: We remove -DEMBED_WEIGHTS from CFLAGS if we want to load from file, 
+# but since the code expects embedded, we fix the labels to match Linux convention.
+RUN g++ -c -fPIC sentencepiece.cpp -O2 -std=c++17
+RUN gcc -c -fPIC nanotts.c tensor.c ops.c tts.c codec.c prompt.c audio.c -O2 -std=c11 -DUSE_OPENBLAS -DEMBED_WEIGHTS
+RUN as -o embed_weights.o embed_linux.s
 
-# Install Gradio
-RUN pip install gradio numpy
+# Link everything into libnanotts.so
+RUN g++ -shared -o libnanotts.so *.o -lopenblas -lsentencepiece -lpthread -lm
 
+RUN pip install gradio numpy pydub
 COPY app.py .
 
-# Expose port 7860 for Hugging Face
 ENV GRADIO_SERVER_NAME="0.0.0.0"
 CMD ["python", "app.py"]