clarify installation

Dockerfile

@@ -65,7 +65,9 @@ RUN pyenv install $PYTHON_VERSION && \
 
 COPY --chown=user:user ./seamless_server ./seamless_server
 # change dir since pip needs to seed whl folder
-RUN cd seamless_server && pip install --no-cache-dir --upgrade -r requirements.txt
+RUN cd seamless_server
+    pip install fairseq2 --pre --extra-index-url https://fair.pkg.atmeta.com/fairseq2/whl/nightly/pt2.1.1/cu118
+    pip install --no-cache-dir --upgrade -r requirements.txt
 COPY --from=frontend /app/dist ./streaming-react-app/dist
 
 WORKDIR $HOME/app/seamless_server

README.md

@@ -19,7 +19,9 @@ You can simply duplicate the space to run it.
 > Please note: we *do not* recommend running the model on CPU. CPU inference will be slow and introduce noticable delays in the simultaneous translation.
 
 > [!NOTE]
-> The example below is for PyTorch stable (2.1.1) and variant cu118. Check [here](https://pytorch.org/get-started/locally/) to find the command for your variant. 
+> The example below is for PyTorch stable (2.1.1) and variant cu118. 
+> Check [here](https://pytorch.org/get-started/locally/) to find the torch/torchaudio command for your variant. 
+> Check [here](https://github.com/facebookresearch/fairseq2#variants) to find the fairseq2 command for your variant.
 
 If running for the first time, create conda environment and install the desired torch version. Then install the rest of the requirements:
 ```
@@ -27,6 +29,7 @@ cd seamless_server
 conda create --yes --name smlss_server python=3.8 libsndfile==1.0.31
 conda activate smlss_server
 conda install --yes pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
+pip install fairseq2 --pre --extra-index-url https://fair.pkg.atmeta.com/fairseq2/whl/nightly/pt2.1.1/cu118
 pip install -r requirements.txt
 ```
 

seamless_server/requirements.txt

@@ -1,4 +1,3 @@
---pre --extra-index-url https://fair.pkg.atmeta.com/fairseq2/whl/nightly/pt2.1.1/cu118
 simuleval==1.1.3
 # seamless_communication
 ./whl/seamless_communication-1.0.0-py3-none-any.whl