Update app.py

app.py

@@ -1,5 +1,4 @@
 import nltk
-nltk.download('punkt')  # Ensure 'punkt' resource is downloaded
 from nltk.stem.lancaster import LancasterStemmer
 import numpy as np
 import tflearn
@@ -9,19 +8,28 @@ import json
 import pickle
 import gradio as gr
 
+# Ensure necessary NLTK resources are downloaded
+try:
+    nltk.data.find('tokenizers/punkt')
+except LookupError:
+    nltk.download('punkt')
+
 # Initialize the stemmer
 stemmer = LancasterStemmer()
 
 # Load intents.json
-with open("intents.json") as file:
-    data = json.load(file)
+try:
+    with open("intents.json") as file:
+        data = json.load(file)
+except FileNotFoundError:
+    raise FileNotFoundError("Error: 'intents.json' file not found. Ensure it exists in the current directory.")
 
 # Load preprocessed data from pickle
 try:
     with open("data.pickle", "rb") as f:
         words, labels, training, output = pickle.load(f)
 except FileNotFoundError:
-    print("Error: data.pickle file not found. Ensure it exists and matches the model.")
+    raise FileNotFoundError("Error: 'data.pickle' file not found. Ensure it exists and matches the model.")
 
 # Build the model structure
 net = tflearn.input_data(shape=[None, len(training[0])])