import streamlit as st from transformers import pipeline import google.generativeai as genai from pytube import Search # Load sentiment analysis model using PyTorch backend mood_classifier = pipeline("sentiment-analysis", framework="pt") # Use PyTorch # Functions def detect_mood(text): result = mood_classifier(text)[0] if result['label'] == 'POSITIVE': return "joyful" elif result['label'] == 'NEGATIVE': return "sad" else: return "neutral" def get_song_recommendations(mood, api_key): try: genai.configure(api_key=api_key) model = genai.GenerativeModel('gemini-pro') # System prompt to guide the AI system_prompt = """ You are a music recommendation assistant specialized in Indian songs. Your task is to suggest popular Indian songs based on the user's mood. - If the mood is "happy," suggest upbeat and joyful Bollywood or Indian pop songs. - If the mood is "sad," suggest emotional and soulful Indian songs. - If the mood is "energetic," suggest high-energy dance or workout songs. - If the mood is "romantic," suggest romantic Bollywood or Indian love songs. - If the mood is "calm," suggest soothing Indian classical or instrumental music. Always suggest 3 songs and provide the song title and artist name in the format: 1. Song Title - Artist Name 2. Song Title - Artist Name 3. Song Title - Artist Name """ # User prompt user_prompt = f"Suggest 3 popular Indian {mood} songs." # Combine system and user prompts response = model.generate_content([system_prompt, user_prompt]) return response.text except Exception as e: st.error(f"Error using Gemini API: {e}") return None def search_youtube(query): search = Search(query) return search.results[0].watch_url # Streamlit App st.title("🎵 Mood-Based Indian Song Player") # Sidebar for user input st.sidebar.header("How are you feeling today?") mood_options = ["happy", "sad", "energetic", "romantic", "calm"] # Input for Gemini API key gemini_api_key = st.sidebar.text_input("Enter your Gemini API Key:", type="password") # Add a button for mood input user_mood = st.sidebar.selectbox("Select your mood:", mood_options) # Playlist if 'playlist' not in st.session_state: st.session_state.playlist = [] # Main content if user_mood and gemini_api_key: mood = detect_mood(user_mood) st.write(f"🎭 Detected Mood: **{mood}**") st.write("🎵 Recommended Songs:") recommendations = get_song_recommendations(mood, gemini_api_key) if recommendations: st.write(recommendations) song_names = recommendations.split("\n") for song in song_names: if song.strip(): st.write(f"🔍 Searching for: **{song}**") video_url = search_youtube(song) st.video(video_url) # Add to playlist button if st.button(f"Add '{song}' to Playlist"): st.session_state.playlist.append((song, video_url)) st.success(f"Added '{song}' to your playlist!") else: st.error("Failed to get song recommendations. Please check your API key.") elif not gemini_api_key: st.warning("Please enter your Gemini API key to get started.") # Display the playlist st.sidebar.header("Your Playlist") for idx, (song, url) in enumerate(st.session_state.playlist): st.sidebar.write(f"{idx + 1}. {song}") if st.sidebar.button(f"Play {song}", key=f"play_{idx}"): st.video(url)