Update app.py

app.py

@@ -1,8 +1,10 @@
 import streamlit
 
 
-# Load model directly
-from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification
+from transformers.pipelines import pipeline
 
-processor = AutoProcessor.from_pretrained("r-f/wav2vec-english-speech-emotion-recognition")
-model = Wav2Vec2ForSpeechClassification.from_pretrained("r-f/wav2vec-english-speech-emotion-recognition")
+pipe = pipeline(model="KELONMYOSA/wav2vec2-xls-r-300m-emotion-ru", trust_remote_code=True)
+
+# The pipeline input can be a file, path or link
+result = pipe("speech.wav")
+streamlit.write(result)