Update app.py

app.py

@@ -6,10 +6,10 @@ from sentence_transformers import SentenceTransformer
 import torch
 
 # SEMANTIC SEARCH STEP 2 --> EDIT WITH YOUR OWN KNOWLEDGE BASE WHEN READY
-with open("skin cancer harvard.txt", "r", encoding="utf-8") as file:
+with open("skin_cancer_harvard.txt", "r", encoding="utf-8") as file:
   # Read the entire contents of the file and store it in a variable
-  skin cancer harvard_text = file.read()
-print(water_cycle_text)
+  skin_cancer_harvard_text = file.read()
+print(skin_cancer_harvard_text)
 
 # SEMANTIC SEARCH STEP 3
 def preprocess_text(text):
@@ -34,7 +34,7 @@ def preprocess_text(text):
   return cleaned_chunks
 
 # Call the preprocess_text function and store the result in a cleaned_chunks variable
-cleaned_chunks = preprocess_text(water_cycle_text) # Complete this line; edit with my knowledgebase when ready
+cleaned_chunks = preprocess_text(skin_cancer_harvard_text) # Complete this line; edit with my knowledgebase when ready
 
 # SEMANTIC SEARCH STEP 4
 model = SentenceTransformer('all-MiniLM-L6-v2')