Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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#
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asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
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#
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emo_clf = pipeline("text-classification", model="
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# 3. Function to process audio
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def predict_emotion(audio_file):
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import gradio as gr
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# from transformers import pipeline
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# # 1. Whisper ASR
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# asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
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# # 2. Emotion classifier (Vietnamese)
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# emo_clf = pipeline("text-classification", model="bkai-foundation-models/vietnamese-emotion", top_k=None)
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from transformers import pipeline
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# ASR bαΊ±ng Whisper
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asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
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# Emotion classification (Vietnamese text)
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emo_clf = pipeline("text-classification", model="visolex/bartpho-emotion", top_k=None)
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# 3. Function to process audio
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def predict_emotion(audio_file):
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