model update

app.py

@@ -16,14 +16,14 @@ CONVERTED_AUDIO = "converted_audio.wav"
 MODEL_REPO = "ylacombe/accent-classifier"
 
 # === load local model
-MODEL_DIR = "model"
-model = Wav2Vec2ForSequenceClassification.from_pretrained(MODEL_DIR, local_files_only=True)
-feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(MODEL_DIR)
+# MODEL_DIR = "model"
+# model = Wav2Vec2ForSequenceClassification.from_pretrained(MODEL_DIR, local_files_only=True)
+# feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(MODEL_DIR)
 
 
 # # === Load models ===
-# model = Wav2Vec2ForSequenceClassification.from_pretrained(MODEL_REPO)
-# feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(MODEL_REPO)
+model = Wav2Vec2ForSequenceClassification.from_pretrained(MODEL_REPO)
+feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(MODEL_REPO)
 whisper = pipeline("automatic-speech-recognition", model="openai/whisper-tiny")
 
 LABELS = [model.config.id2label[i] for i in range(len(model.config.id2label))]

extracted_audio.wav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31ec206ac9720d356425512609abbd2b39af0757a149c4b23d7e94c1213de8e8
+size 7826946