| import gradio as gr | |
| from SER import live_emotion_recognition | |
| from MT import search_song_by_emotion | |
| def audio_interface(audio): | |
| emotion = live_emotion_recognition(audio) | |
| preview_url = search_song_by_emotion(emotion) | |
| if preview_url: | |
| audio = gr.Audio(value=preview_url,label="Recommend Music 🎷") | |
| return emotion,audio | |
| else: | |
| return emotion,gr.Audio(value=None,label="Unexpected Error Occured ⚠️") | |
| description = "This is an emotion-based music recommendation system. How are you feeling today ? Hope I will help you to make you happy 😊." | |
| css = """ | |
| #container{ | |
| margin: 0 auto; | |
| max-width: 80rem; | |
| } | |
| """ | |
| iface = gr.Interface (title='Sentiment based Music Therapy', | |
| description=description, | |
| fn=audio_interface, | |
| inputs=[gr.Audio(sources='microphone', type='filepath',label="How are you feeling today ?")], | |
| outputs=[gr.Textbox(label="Detected Emotion "),gr.Audio(label="Recommended Music 🎷")]) | |
| iface.launch() |