Update app.py

app.py

@@ -1,45 +1,57 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-client = InferenceClient("microsoft/phi-4")
-
-# Step 1: Add a function that checks for genres in the user message
-def recommend_songs(message):
-    genre_map = {
-        "pop": ["'Feel Special' - TWICE", "'Dynamite' - BTS"],
-        "r&b": ["'Instagram' - DEAN", "'You, Clouds, Rain' - Heize"],
-        "hip hop": ["'Daechwita' - Agust D", "'ON' - BTS"],
-        "dance": ["'Next Level' - aespa", "'Hot' - Seventeen"],
-        "rock": ["'Time of Our Life' - DAY6"]
+
+# Dummy chatbot logic for now
+def chatbot_fn(message, history):
+    genre_to_song = {
+        "pop": "Blinding Lights - The Weeknd",
+        "rock": "Bohemian Rhapsody - Queen",
+        "hip hop": "SICKO MODE - Travis Scott",
+        "jazz": "Take Five - Dave Brubeck",
+        "classical": "Moonlight Sonata - Beethoven"
     }
 
-    for genre, songs in genre_map.items():
+    response = "Tell me your favorite genre!"
+    for genre, song in genre_to_song.items():
         if genre in message.lower():
-            return f"Here are some {genre} K-pop songs you might like:\n" + "\n".join(songs)
-    return None
-
-# Step 2: Update your respond function to check for recommendations first
-def respond(message, history):
-    # Check if we can recommend songs based on genre keywords
-    quick_rec = recommend_songs(message)
-    if quick_rec:
-        return quick_rec  # Return genre-based recommendations immediately
-
-    # Otherwise, call the language model for a general response
-    messages = [{"role": "system", "content": "You are a friendly chatbot who specializes in K-pop. Recommend songs, explain K-pop terms, and introduce groups based on user preferences."}]
-    
-    if history:
-        messages.extend(history)
-        
-    messages.append({"role": "user", "content": message})
-    
-    response = client.chat_completion(
-        messages,
-        max_tokens=150  # you can increase tokens if you want longer replies
-    )
-    
-    return response['choices'][0]['message']['content'].strip()
-
-chatbot = gr.ChatInterface(respond, type="messages", title="KpopBot")
-
-chatbot.launch()
+            response = f"You might like: 🎵 **{song}**"
+            break
+    history.append((message, response))
+    return "", history
+
+
+### Page 1: Home ###
+def home():
+    return gr.Markdown("# 🎵 Welcome to MusicMatch\n\nFind songs you'll love based on your music taste.")
+
+### Page 2: About ###
+def about():
+    return gr.Markdown("## About\n\nThis app helps you discover songs based on your favorite genres using a chatbot powered by Python and Hugging Face.")
+
+### Page 3: Chatbot ###
+def chatbot_page():
+    with gr.Blocks() as demo:
+        gr.Markdown("## 🎧 Song Finder Chatbot\n\nTell me your favorite genre, and I'll suggest a song!")
+
+        chatbot = gr.Chatbot()
+        msg = gr.Textbox(label="Your message", placeholder="Type a genre, like rock or jazz...")
+        clear = gr.Button("Clear chat")
+
+        msg.submit(chatbot_fn, [msg, chatbot], [msg, chatbot])
+        clear.click(lambda: None, None, chatbot, queue=False)
+    return demo
+
+### Page 4: Top Genres ###
+def top_genres():
+    return gr.Markdown("## 🌟 Top Genres\n\n- Pop\n- Rock\n- Hip Hop\n- Jazz\n- Classical")
+
+### Page 5: Contact ###
+def contact():
+    return gr.Markdown("## 📬 Contact\n\nMade with ❤️ by your name. Reach out via [GitHub](https://github.com) or [Twitter](https://twitter.com)")
+
+# Launching as a multi-page app
+demo = gr.TabbedInterface(
+    [home, about, chatbot_page, top_genres, contact],
+    ["Home", "About", "Song Finder Chatbot", "Top Genres", "Contact"]
+)
+
+demo.launch()