Update app.py

app.py

@@ -17,13 +17,13 @@ def check_misspelled_words(user_input):
     # Tokenize the input into words
     words = user_input.split()
     # Get a list of misspelled words
-    misspelled = spell.unknown(words)
+    misspelled = [word for word in words if word.isalpha() and not word.isdigit() and not spell.correction(word.lower()) == word.lower()]
     return misspelled
 
 # Define the function for mapping code
 def mapping_code(user_input):
-    if len(user_input.split()) < 5:  # Check if sentence has less than 5 words
-        raise ValueError("Input sentence should be at least 5 words long.")
+    if len(user_input.split()) <= 1:  # Check if sentence has less than 5 words
+        raise ValueError("Input sentence should be more than 1 word long.Please provide the Full description")
     emb1 = model.encode(user_input.lower())
     similarities = util.pytorch_cos_sim(emb1, stored_embeddings)[0]
     # Combine similarity scores with 'code' and 'description'