Reapply "fix: typo on hf_token env name"

This reverts commit bade57b054b7d7b05dde76a077c7b6b9a4feabdc.

cloudbuild.yaml

@@ -1,16 +1,12 @@
 steps:
   - name: "gcr.io/cloud-builders/docker"
     dir: "core-model-prediction"
-    args:
-      [
-        "build",
-        "--build-arg",
-        "HF_TOKEN=${_HF_TOKEN}",
-        "-t",
-        "us-central1-docker.pkg.dev/${PROJECT_ID}/interview-ai-detector/model-prediction:latest",
-        ".",
-      ]
-    secretEnv: ["HF_TOKEN"]
+    entrypoint: "bash"
+    secretEnv: ["_HF_TOKEN"]
+    args: 
+      - -c
+      - | 
+          docker build -t us-central1-docker.pkg.dev/${PROJECT_ID}/interview-ai-detector/model-prediction:latest --build-arg=HF_TOKEN=$$_HF_TOKEN .
 
   - name: "gcr.io/cloud-builders/docker"
     args:
@@ -24,5 +20,5 @@ images:
 
 availableSecrets:
   secretManager:
-    - versionName: "projects/${PROJECT_ID}/secrets/HF_TOKEN/versions/1"
-      env: "HF_TOKEN"
+    - versionName: "projects/${PROJECT_ID}/secrets/HF_TOKEN/versions/latest"
+      env: "_HF_TOKEN"

core-model-prediction/Dockerfile

@@ -21,7 +21,7 @@ RUN python -m nltk.downloader punkt wordnet averaged_perceptron_tagger
 RUN unzip /root/nltk_data/corpora/wordnet.zip -d /root/nltk_data/corpora/
 
 # Print masked HF Token for debugging
-RUN echo ${HF_TOKEN:0:4}********${HF_TOKEN: -4}
+RUN echo $HF_TOKEN
 
 # Download HuggingFace model
 RUN python -c "from transformers import AutoTokenizer, AutoModelForCausalLM; \