Add application file

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import pipeline
+
+classifier = pipeline('audio-classification', model="steviebarot/filipino-SER")
+
+def understand(audio):
+    emotions = classifier(audio)
+    labels = [i['label'] for i in emotions]
+    scores = [str(round(i['score']*100, 2))+'%' for i in emotions]
+    final_string = "\n".join([": ".join([l, s]) for l, s in zip(labels, scores)])
+    return final_string
+
+app = gr.Interface(fn=understand,
+                   inputs=gr.Audio(source="microphone",
+                                   type="filepath"),
+                   outputs="text",
+                   title="Filipino Speech Emotion Recognition",
+                   description="Realtime demo for a Filipino Speech Emotion Recognition model. Created by Stevie Barot, Ken Agapito, and AJ Angcos.")
+app.launch()