up files

Dockerfile

@@ -12,7 +12,7 @@ ENV NLTK_DATA=/app/nltk_data
 
 # Create NLTK data directory and download required data
 RUN mkdir -p /app/nltk_data && \
-    python -c "import nltk; nltk.download('twitter_samples', download_dir='/app/nltk_data'); nltk.download('stopwords', download_dir='/app/nltk_data')"
+    python -c "import nltk; nltk.data.path.append('/app/nltk_data'); nltk.download('twitter_samples', download_dir='/app/nltk_data'); nltk.download('stopwords', download_dir='/app/nltk_data')"
 
 # Copy source code
 COPY . /app

model.py

@@ -9,8 +9,8 @@ from nltk.tokenize import TweetTokenizer
 from nltk.corpus import stopwords, twitter_samples
 from sklearn.linear_model import LogisticRegression
 
-nltk.download('twitter_samples')
-nltk.download('stopwords')
+# NLTK data is pre-downloaded during Docker build
+# No need to download at runtime
 all_positive_tweets = twitter_samples.strings('positive_tweets.json')
 all_negative_tweets = twitter_samples.strings('negative_tweets.json')