feat: fix runtime errors

Dockerfile

@@ -10,6 +10,7 @@ RUN apt-get update && apt-get install -y \
 
 COPY requirements.txt ./
 COPY src/ ./src/
+COPY data/ ./data/ 
 
 RUN pip3 install -r requirements.txt
 

requirements.txt

@@ -14,4 +14,5 @@ tqdm
 transformers
 tokenizers>=0.15.0
 sentencepiece
-plotly
+plotly
+streamlit

src/streamlit_app.py

@@ -53,11 +53,12 @@ Each metric cell in the CSVs is a list of scores (one per model).
 We expand this to (Model × Species × Dataset) and aggregate according to your filters.
 """
 
-DATA_DIR = "./data"
+HERE = os.path.dirname(os.path.abspath(__file__))  # /app/src
+PROJECT_ROOT = os.path.dirname(HERE)               # /app
+DATA_DIR = os.path.join(PROJECT_ROOT, "data")
+
 PEARSON_PATH = os.path.join(DATA_DIR, "bigwig_dataset.csv")
 MCC_PATH = os.path.join(DATA_DIR, "bed_dataset.csv")
-
-
 # ---------------------------------------------------------------------
 # Data loading & preprocessing
 # ---------------------------------------------------------------------