Create app.py

app.py

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+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='Emotion Based Recommendation System',
+                      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()