commit

app.py

@@ -45,7 +45,7 @@ def parse_google_books_response(json_content):
 def format_book_recommendations(books):
     formatted_books = []
     for index, book in enumerate(books, start=1):
-        formatted_books.append(f"{index}. **{book['title']}** by {book['author']}")
+        formatted_books.append(f"{index}. {book['title']} by {book['author']}")
     return "\n".join(formatted_books)
 
 # Create the AI agent
@@ -56,16 +56,16 @@ def generate_recommendations(query: str) -> str:
     return agent.run(query)
 
 description_md = """
-Get top 5 book recommendations based on your query. Simply enter a topic or keyword, and receive a list of books with their names, authors, and links.
+Get top 5 book recommendations based on your query. Simply enter your query, and receive a list of books with their names, authors.
 """
 # Create Gradio UI
 iface = gr.Interface(
     fn=generate_recommendations,
     inputs=[
-        gr.Textbox(lines=1, placeholder="Enter a topic or keyword", label="Book Topic")
+        gr.Textbox(lines=1, placeholder="Enter a query", label="Book Topic")
     ],
     outputs="text",
-    title="Book Recommendation Engine",
+    title="Book Beacon",
     description=description_md
 )