Create app.py

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from transformers import pipeline
+import numpy
+
+pipe = pipeline(task="audio-classification", model="Rajaram1996/Hubert_emotion")
+
+gr.Interface.from_pipeline(pipe,
+                           title="Audio Emotion Classification",
+                           description="It will predict the mix of emotions present in the audio file",
+                           inputs = gr.inputs.Audio(source="upload", type="numpy"),
+                           outputs = gr.outputs.Label(num_top_classes=5),
+                           allow_flagging="never"
+                           ).launch(inbrowser=True)
+