Temporarily disable data loading

Dockerfile

@@ -13,9 +13,9 @@ RUN chmod -R 777 /.local
 RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash
 RUN apt-get install git-lfs
 RUN git lfs install
-RUN --mount=type=secret,id=HF_TOKEN,mode=0444,required=true \
-	git clone https://gossminn:$(cat /run/secrets/HF_TOKEN)@huggingface.co/datasets/responsibility-framing/sociofillmore-datasets /.cache/sfdata
-RUN chmod -R 777 /.cache/sfdata
+# RUN --mount=type=secret,id=HF_TOKEN,mode=0444,required=true \
+# 	git clone https://gossminn:$(cat /run/secrets/HF_TOKEN)@huggingface.co/datasets/responsibility-framing/sociofillmore-datasets /.cache/sfdata
+# RUN chmod -R 777 /.cache/sfdata
 
 RUN pip install -v -r requirements.txt
 CMD ["sh", "docker_commands.sh"]

sociofillmore/webapp/app.py

@@ -77,7 +77,8 @@ def load_gensim_model(limit):
     print("Loading GENSIM model... [this can take a few minutes]")
     return gensim.models.word2vec.KeyedVectors.load_word2vec_format("data/embeddings/concat_glove_frames.w2v.txt", limit=limit)
 
-gensim_m = load_gensim_model(100_000)
+gensim_m = None
+# gensim_m = load_gensim_model(100_000)
 
 print("Loading SpaCy models...")
 spacy_model_ud = spacy.load("xx_sent_ud_sm")
@@ -221,12 +222,20 @@ def load_event_data(dataset):
 
 
 DATASETS = {
-    "femicides/rai": load_event_data("femicides/rai"),
-    "femicides/olv": load_event_data("femicides/olv"),
-    "crashes/thecrashes": load_event_data("crashes/thecrashes"),
-    "migration/pavia": load_event_data("migration/pavia"),
+    "femicides/rai": None,
+    "femicides/olv": None,
+    "crashes/thecrashes": None,
+    "migration/pavia": None,
 }
 
+
+# DATASETS = {
+#     "femicides/rai": load_event_data("femicides/rai"),
+#     "femicides/olv": load_event_data("femicides/olv"),
+#     "crashes/thecrashes": load_event_data("crashes/thecrashes"),
+#     "migration/pavia": load_event_data("migration/pavia"),
+# }
+
 SKIP_FUNCTIONS = {
     "femicides/rai": None,
     "femicides/olv": None,
@@ -235,7 +244,6 @@ SKIP_FUNCTIONS = {
 }
 
 
-
 def read_frames_to_event_roles(dataset):
     if dataset == "femicides/rai":
         ftr_df = pd.read_csv("resources/femicides_frame_to_roles.csv")