Fix errors for unknown words and lowercase expression

app.py

@@ -44,7 +44,11 @@ all_vectors = np.array(df["embeddings"].to_list())
 
 
 def word_to_vectors(word):
-    return df.loc[df["word"] == word].embeddings.to_numpy()[0]
+    result = df.loc[df["word"] == word].embeddings.to_numpy()
+    if len(result) < 1:
+        raise gr.Error("Word not found in the dictionary.")
+    else:
+        return result[0]
 
 
 def expression_to_vectors(input):
@@ -55,6 +59,7 @@ def get_results(expression):
     if len(expression) < 1:
         raise gr.Error("Please provide an expression.")
 
+    expression = expression.lower()
     vectors = expression_to_vectors(expression)
     similarity_scores = cosine_similarity([vectors], all_vectors)[0]
     top_indices = np.argsort(similarity_scores)[::-1]