Update app.py

app.py

@@ -16,16 +16,16 @@ st.set_page_config(
     layout="wide"
 )
 
-# App title and description
-st.title("📚 Book Recommendation System")
-st.markdown("Enter a book summary and genres to get personalized book recommendations!")
-
 # GitHub URLs for model files and dataset
 GITHUB_CSV_URL = "https://media.githubusercontent.com/media/Manithj/bookRecEngine/refs/heads/main/goodreadsV2.csv"
 GITHUB_KNN_URL = "https://media.githubusercontent.com/media/Manithj/bookRecEngine/refs/heads/main/knn_model.pkl"
 GITHUB_TFIDF_URL = "https://raw.githubusercontent.com/Manithj/bookRecEngine/main/tfidf_vectorizer.pkl"
 
-# Load models from GitHub
+# Define the preprocessing function
+def preprocess_text(text):
+    return re.sub(r'[^a-zA-Z0-9\s]', '', text.lower())
+
+# Load models from GitHub - using st.cache_resource to load only once
 @st.cache_resource
 def load_models_from_github():
     try:
@@ -42,7 +42,7 @@ def load_models_from_github():
         st.error(f"Error loading models: {e}")
         return None, None
 
-# Load the dataset from GitHub
+# Load the dataset from GitHub - using st.cache_data to load only once
 @st.cache_data
 def load_data_from_github():
     try:
@@ -67,9 +67,24 @@ def load_data_from_github():
         st.error(f"Error loading dataset: {e}")
         return None
 
-# Define the preprocessing function
-def preprocess_text(text):
-    return re.sub(r'[^a-zA-Z0-9\s]', '', text.lower())
+# Load models and data at startup - this happens only once due to caching
+with st.spinner("Loading models and data (this will only happen once)..."):
+    tfidf, knn_model = load_models_from_github()
+    df_cleaned = load_data_from_github()
+    
+    if tfidf is not None and knn_model is not None and df_cleaned is not None:
+        models_loaded = True
+    else:
+        models_loaded = False
+
+# App title and description
+st.title("📚 Book Recommendation System")
+st.markdown("Enter a book summary and genres to get personalized book recommendations!")
+
+if not models_loaded:
+    st.error("Failed to load models or data. Please check the GitHub URLs.")
+else:
+    st.success("Models and data loaded successfully!")
 
 # Recommendation function for out-of-dataset books
 def recommend_books_knn_out_of_dataset(input_summary, input_genres, top_n=5):
@@ -96,19 +111,6 @@ def recommend_books_knn_out_of_dataset(input_summary, input_genres, top_n=5):
 
     return recommendations
 
-# Status indicator for loading data
-with st.spinner("Loading models and data from GitHub..."):
-    # Load models and data
-    tfidf, knn_model = load_models_from_github()
-    df_cleaned = load_data_from_github()
-    
-    if tfidf is not None and knn_model is not None and df_cleaned is not None:
-        st.success("Models and data loaded successfully!")
-        models_loaded = True
-    else:
-        st.error("Failed to load models or data. Please check the GitHub URLs.")
-        models_loaded = False
-
 # Sidebar for inputs
 st.sidebar.header("Input Parameters")
 
@@ -186,6 +188,22 @@ st.sidebar.info(
     """
 )
 
+# Add example inputs for quick testing
+st.sidebar.markdown("---")
+st.sidebar.header("Try these examples")
+
+if st.sidebar.button("Example 1: Fantasy Adventure"):
+    st.sidebar.text_area("Book Summary", 
+                        value="A young wizard discovers his magical powers and embarks on a journey to defeat a dark lord threatening the world.",
+                        height=150, key="example1_summary")
+    st.sidebar.text_input("Genres", value="fantasy, adventure, magic", key="example1_genres")
+
+if st.sidebar.button("Example 2: Mystery Thriller"):
+    st.sidebar.text_area("Book Summary", 
+                        value="A detective investigates a series of murders that seem to be connected to an unsolved case from decades ago.",
+                        height=150, key="example2_summary")
+    st.sidebar.text_input("Genres", value="mystery, thriller, crime", key="example2_genres")
+
 # Add a footer
 st.markdown("---")
 st.markdown("📚 Book Recommendation System | Created with Streamlit")