Update app.py

app.py

@@ -7,8 +7,6 @@ client = InferenceClient('Qwen/Qwen2.5-72B-Instruct')
 
 
 
-#defining
-cleaned_chunks = [] 
 #sustainability tips 
 SUSTAINABILITY_TIPS = [
     "Bring your own: Carry a reusable water bottle, coffee cup, and shopping bag.",
@@ -20,8 +18,6 @@ SUSTAINABILITY_TIPS = [
     "Go paperless: Switch to digital bills, receipts, and notes.",
     "Support eco-conscious brands: Choose companies with ethical sourcing and minimal packaging."
 ]
-cleaned_chunks.extend(SUSTAINABILITY_TIPS)
-
 # Open the ECOsphere.txt file in read mode with UTF-8 encoding
 with open("eskb.txt", "r", encoding="utf-8") as file:
   # Read the entire contents of the file and store it in a variable
@@ -72,6 +68,7 @@ def preprocess_text(text):
   # Return the cleaned_chunks
   return cleaned_chunks
 cleaned_chunks = preprocess_text(ECOsphere_text)
+cleaned_chunks.extend(SUSTAINABILITY_TIPS)
 # Load the pre-trained embedding model that converts text to vectors
 model = SentenceTransformer('all-MiniLM-L6-v2')