Update app.py

app.py

@@ -4,13 +4,13 @@ from sentence_transformers import SentenceTransformer, util
 
 # Load dataset
 df = pd.read_csv("quotes.csv")
-quotes = df["quote"].tolist()
+quotes = df["quote"].dropna().tolist()
 
 # Load embedding model
 model = SentenceTransformer("all-MiniLM-L6-v2")
 quote_embeddings = model.encode(quotes, convert_to_tensor=True)
 
-# Function to find top 3 similar quotes
+# Recommendation function
 def get_top3(user_input):
     if not user_input.strip():
         return "Please enter a search phrase."
@@ -25,13 +25,13 @@ def get_top3(user_input):
     
     return "\n".join(output_quotes)
 
-# Create Gradio interface
+# Gradio app
 demo = gr.Interface(
     fn=get_top3,
     inputs=gr.Textbox(lines=2, placeholder="Type something..."),
     outputs="text",
-    title="Quote Finder (1,000+ quotes)",
-    description="Enter any topic or phrase to find 3 semantically similar quotes from our dataset.",
+    title="Quote Finder",
+    description="Find 3 quotes similar to your input using AI embeddings.",
     examples=[
         ["happiness"],
         ["overcoming failure"],