.

Dockerfile

@@ -180,10 +180,8 @@ RUN pwd
 RUN git clone --depth=1 https://github.com/CoEDL/elpis.git
 
 WORKDIR /elpis
-RUN python -m venv /venv
-ENV PATH="/venv/bin:$PATH"
 RUN pip install poetry \
-    && poetry env use /venv/bin/python \
+    && poetry env use /venv/bin/python3 \
     && poetry run pip install --upgrade pip \
     && poetry config virtualenvs.create false --local \
     && poetry install
@@ -210,6 +208,8 @@ RUN echo "export FLASK_APP=elpis" >> ~/.zshrc
 RUN echo "export LC_ALL=C.UTF-8" >> ~/.zshrc
 RUN echo "export LANG=C.UTF-8" >> ~/.zshrc
 RUN echo "export PATH=$PATH:/venv/bin:/kaldi/src/bin/" >> ~/.zshrc
+WORKDIR /elpis
+RUN echo "export POETRY_PATH=$(poetry env info -p)" >> ~/.zshrc
 RUN echo "alias run=\"poetry run flask run --host=0.0.0.0 --port=5000\"" >> ~/.zshrc
 RUN cat ~/.zshrc >> ~/.bashrc
 

elpis/engines/kaldi/inference/gmm-decode/7_ctm_textgrid.sh

@@ -7,7 +7,7 @@
 
 export PATH=$PATH:/kaldi/src/online2bin
 
-# Activate Python 3.6.3 virtual environment
+# Activate Python 3.8.2 virtual environment
 source /venv/bin/activate
 
 # Manipulate the wav.scp file in the first (and only) split
@@ -24,7 +24,7 @@ echo "${recid} ${audio}" > ./data/infer/split1/1/wav.scp
 
 echo "==== Converting CTM to Textgrid ===="
 # python /kaldi-helpers/kaldi_helpers/output_scripts/ctm_to_textgrid.py \
-python /elpis/elpis/engines/common/output/ctm_to_textgrid.py \
+"{POETRY_PATH}/bin/python" /elpis/elpis/engines/common/output/ctm_to_textgrid.py \
     --ctm data/infer/align-words-best-wordkeys.ctm \
     --wav data/infer/split1/1/wav.scp \
     --seg data/infer/split1/1/segments \