Update app.py

app.py

@@ -158,8 +158,13 @@ class CustomEncoderWav2vec2Classifier(Pretrained):
 
 
 def return_prediction(mic, file):
-    classifier = foreign_class(source="Porjaz/wavlm-base-emo-fi", pymodule_file="custom_interface.py", classname="CustomEncoderWav2vec2Classifier")
-    out_prob, score, index, text_lab = classifier.classify_file("anger.wav")
+    # classifier = foreign_class(source="Porjaz/wavlm-base-emo-fi", pymodule_file="custom_interface.py", classname="CustomEncoderWav2vec2Classifier")
+    if mic is not None:
+        out_prob, score, index, text_lab = classifier.classify_file(mic)
+    elif file is not None:
+        out_prob, score, index, text_lab = classifier.classify_file(file)
+    else:
+        return "You must either provide a mic recording or a file"
     return text_lab
     
 
@@ -175,4 +180,4 @@ gradio_app = gr.Interface(
     title="Finnish-Emotion-Recognition",
 )
 
-gradio_app.launch(share=True)
+gradio_app.launch(share=True, ssl_verify=False)