Update Dockerfile

Dockerfile

@@ -83,23 +83,11 @@ RUN python -c "import nltk; nltk.download('averaged_perceptron_tagger_eng')"
 COPY --from=frontend /app/dist ./streaming-react-app/dist
 
 WORKDIR $HOME/app/seamless_server
-RUN --mount=type=secret,id=HF_TOKEN,mode=0444,required=false \
+RUN --mount=type=secret,id=HF_TOKEN,mode=0444,required=false \ 
     huggingface-cli login --token $(cat /run/secrets/HF_TOKEN) || echo "HF_TOKEN error" && \
-    # Créer les répertoires nécessaires
-    mkdir -p ./models/Seamless/ ./models/SeamlessStreaming/ && \
-    # Télécharger TOUS les modèles expressifs requis
-    huggingface-cli download meta-private/SeamlessExpressive pretssel_melhifigan_wm-final.pt --local-dir ./models/Seamless/ || echo "HF_TOKEN error" && \
-    huggingface-cli download meta-private/SeamlessExpressive m2m_expressive_unity.pt --local-dir ./models/Seamless/ || echo "HF_TOKEN error" && \
-    huggingface-cli download meta-private/SeamlessExpressive pretssel_melhifigan_wm-16khz.pt --local-dir ./models/Seamless/ || echo "HF_TOKEN error" && \
-    # Créer le lien symbolique pour le vocoder
-    ln -sf $(readlink -f models/Seamless/pretssel_melhifigan_wm-final.pt) models/Seamless/pretssel_melhifigan_wm.pt || true && \
-    # CRUCIAL : Copier tous les modèles vers SeamlessStreaming
-    cp -r ./models/Seamless/* ./models/SeamlessStreaming/ || true && \
-    # Télécharger et copier les fichiers de configuration
-    huggingface-cli download meta-private/SeamlessExpressive --include="*.yaml" --local-dir ./models/Seamless/ || echo "Config files not found" && \
-    cp ./models/Seamless/*.yaml ./models/SeamlessStreaming/ 2>/dev/null || true
+    huggingface-cli download meta-private/SeamlessExpressive pretssel_melhifigan_wm-final.pt  --local-dir ./models/Seamless/ || echo "HF_TOKEN error" && \
+    ln -s $(readlink -f models/Seamless/pretssel_melhifigan_wm-final.pt) models/Seamless/pretssel_melhifigan_wm.pt || true;
 
 USER user
 RUN ["chmod", "+x", "./run_docker.sh"]
-CMD ./run_docker.sh
-
+CMD ./run_docker.sh