Update Dockerfile

Dockerfile

@@ -42,10 +42,12 @@ RUN mkdir build && cd build && cmake .. && make -j4
 # Python packages
 RUN pip3 install pandas sacrebleu gradio scikit-learn
 
-# Copy app + corpus
+# Copy app + corpus + training script
 WORKDIR /workspace
 COPY english_zomi_corpus.csv /workspace/
 COPY app.py /workspace/
+COPY run_training.sh /workspace/run_training.sh
+RUN chmod +x /workspace/run_training.sh
 
 # --- Split corpus into train/test ---
 RUN python3 -c "\
@@ -58,20 +60,5 @@ train_df['english'].to_csv('corpus.en', index=False, header=False); \
 test_df['zomi'].to_csv('test.zomi.txt', index=False, header=False); \
 test_df['english'].to_csv('test.en.txt', index=False, header=False)"
 
-# --- Training Command ---
-RUN /workspace/mosesdecoder/scripts/training/train-model.perl \
-    -root-dir /workspace/model \
-    -corpus /workspace/corpus \
-    -f zomi -e en \
-    -alignment grow-diag-final-and \
-    -reordering msd-bidirectional-fe \
-    -lm 0:3:/workspace/kenlm/build/bin/lmplz -external-bin-dir /workspace/tools
-
-# --- Decode test set ---
-RUN /workspace/mosesdecoder/bin/moses -f /workspace/model/model/moses.ini < /workspace/test.zomi.txt > /workspace/test.output.en
-
-# --- Compute BLEU ---
-RUN sacrebleu /workspace/test.en.txt -i /workspace/test.output.en -m bleu -b -w 2 > /workspace/BLEU.score.txt
-
-# Default command: run Gradio app
+# Default command: run Gradio app (training can be triggered via run_training.sh)
 CMD ["python3", "app.py"]