Update app.py

app.py

@@ -5,6 +5,7 @@ from nltk.tokenize import word_tokenize
 from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
 from flask import Flask, request, jsonify
+import os
 
 # Initialize the Flask app
 app = Flask(__name__)
@@ -14,7 +15,8 @@ nltk.download('punkt')
 nltk.download('stopwords')
 
 # Load customer inquiries dataset
-with open('my_text_file.txt', 'r') as f:
+file_path = os.path.join(os.path.dirname(__file__), 'my_text_file.txt')
+with open(file_path, 'r') as f:
     data = f.readlines()
 
 # Preprocess data
@@ -52,5 +54,6 @@ def chat():
     else:
         return jsonify({'error': 'No message provided'}), 400
 
+# Main entry
 if __name__ == '__main__':
     app.run(host='0.0.0.0', port=8080)