Upload app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+import pickle
+
+filename = "Our_Trained_knn_model.pickle"
+
+def predict(inp):
+    best_classifiers = pickle.load(open(filename, 'rb'))
+    emotion = best_classifiers.predict(inp)
+    return emotion
+
+if __name__ == "__main__":
+    audio = gr.inputs.Audio(source="upload", type="numpy", label=None, optional=False)
+
+    #gr.Interface(fn=emotion_recognizer, inputs=audio, outputs="text", capture_session=True).launch()
+
+
+    iface = gr.Interface(fn=predict, inputs = "audio", outputs = "text")
+    iface.launch(share=True)
+