Update app.py

app.py

@@ -17,12 +17,26 @@ from nltk.chunk import ne_chunk
 from textblob import TextBlob
 import matplotlib.pyplot as plt
 import seaborn as sns
+import ssl
 
-warnings.filterwarnings('ignore', category=FutureWarning, module='huggingface_hub.file_download')
+# NLTK data download
+try:
+    _create_unverified_https_context = ssl._create_unverified_context
+except AttributeError:
+    pass
+else:
+    ssl._create_default_https_context = _create_unverified_https_context
 
-# Download necessary NLTK data (lazy loading)
-nltk.download('vader_lexicon', quiet=True, raise_on_error=True)
-nltk.data.path.append('/nltk_data')  # Specify the path where NLTK data should be stored
+nltk.download('words', quiet=True)
+nltk.download('vader_lexicon', quiet=True)
+nltk.download('punkt', quiet=True)
+nltk.download('averaged_perceptron_tagger', quiet=True)
+nltk.download('maxent_ne_chunker', quiet=True)
+
+# Set NLTK data path
+nltk.data.path.append('/home/user/nltk_data')
+
+warnings.filterwarnings('ignore', category=FutureWarning, module='huggingface_hub.file_download')
 
 # Initialize Example Dataset (For Emotion Prediction)
 data = {
@@ -290,3 +304,5 @@ iface = gr.Interface(fn=interactive_interface, inputs="text", outputs=[
 
 # Launch the interface
 iface.launch()
+
+