Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import os
+from huggingface_hub import hf_hub_download
+
+
+# Page configuration
+st.set_page_config(
+    page_title="Title-2-BookName Converter",
+    page_icon="📚",
+    layout="centered",
+    initial_sidebar_state="collapsed"
+)
+
+# Custom CSS for better styling
+st.markdown("""
+    <style>
+    .main {
+        padding: 2rem;
+    }
+    .stApp {
+        background-color: #f5f7fa;
+    }
+    .stTitle {
+        font-size: 3rem !important;
+        margin-bottom: 1.5rem !important;
+    }
+    .search-container {
+        background-color: white;
+        padding: 2rem;
+        border-radius: 10px;
+        box-shadow: 0 2px 10px rgba(0,0,0,0.1);
+    }
+    .results-container {
+        margin-top: 2rem;
+        background-color: white;
+        padding: 2rem;
+        border-radius: 10px;
+        box-shadow: 0 2px 10px rgba(0,0,0,0.1);
+    }
+    .st-emotion-cache-1n76uvr {
+        font-size: 1.2rem;
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+# Load the CSV file with caching
+@st.cache_data
+def load_data():
+    try:
+        HUGGINGFACE_TOKEN = os.getenv("HF_TOKEN")
+        if not HUGGINGFACE_TOKEN:
+            st.sidebar.error("HF_TOKEN environment variable is not set")
+            return pd.DataFrame()
+            
+        csv_file = hf_hub_download(
+            repo_id="Skoob/test-private",
+            filename="2025Feb_3_Data_2k_267k.csv",
+            use_auth_token=HUGGINGFACE_TOKEN
+        )
+        df = pd.read_csv(csv_file)
+        # Prepare dataframe
+        df = df.copy()
+        return df
+    except Exception as e:
+        st.sidebar.error(f"Error loading data: {str(e)}")
+        return pd.DataFrame()
+
+st.title(":blue[Title-2-BookName]")
+
+# Load data
+title_df = load_data()
+
+# Main search functionality
+def get_file_info(user_title):
+    if title_df.empty:
+        return None
+    
+    # Always case-insensitive search with exact match only
+    search_title = user_title.lower()
+    result = title_df.loc[title_df['Title'].str.lower() == search_title]
+    
+    if not result.empty:
+        # Remove 'BookSummary-' and '.docx' from the file names
+        result_copy = result.copy()
+        result_copy['Clean_name'] = result_copy['File_name'].str.replace("BookSummary-", "").str.replace(".docx", "")
+        # Select relevant columns and reset index
+        return result_copy[['Title', 'Clean_name', 'File_name']].reset_index(drop=True)
+    else:
+        return None
+
+# Main app container
+st.markdown('<div class="search-container">', unsafe_allow_html=True)
+
+# Enhanced search interface
+col1, col2 = st.columns([4, 1])
+with col1:
+    user_title = st.text_input("Enter the book title:")
+with col2:
+    search_button = st.button("🔍 Search", use_container_width=True)
+
+st.markdown('</div>', unsafe_allow_html=True)
+
+# Search results display
+if user_title and search_button:
+    st.markdown('<div class="results-container">', unsafe_allow_html=True)
+    
+    with st.spinner("Searching..."):
+        result_df = get_file_info(user_title)
+    
+    if result_df is not None and not result_df.empty:
+        st.success(f"Found {len(result_df)} matching result(s)!")
+        
+        # Display results in a nice table with copy buttons
+        st.dataframe(
+            result_df,
+            column_config={
+                "Title": st.column_config.TextColumn("Original Title"),
+                "Clean_name": st.column_config.TextColumn("Book Name"),
+                "File_name": st.column_config.TextColumn("File Name")
+            },
+            use_container_width=True,
+            hide_index=True
+        )
+        
+        # Display all file names in a list format
+        if len(result_df) >= 1:
+            st.subheader("All File Names:")
+            for idx, row in result_df.iterrows():
+                st.code(row['File_name'], language=None)
+            
+            # Add option to copy all file names as text
+            all_filenames = '\n'.join(result_df['File_name'].tolist())
+            st.download_button(
+                label="📋 Copy all file names",
+                data=all_filenames,
+                file_name=f"filenames_{user_title}.txt",
+                mime="text/plain"
+            )
+    else:
+        st.warning("No results found. Try different search options or check your spelling.")