Update app.py

app.py

@@ -3,16 +3,14 @@ import librosa
 from speechbrain.inference.classifiers import EncoderClassifier
 from pydub import AudioSegment
 import gradio as gr
-import os
 
-# Load model only once
+# Load model once
 classifier = EncoderClassifier.from_hparams(
     source="Jzuluaga/accent-id-commonaccent_ecapa",
-    savedir="pretrained_models/accent-id-commonaccent_ecapa"
+    savedir="/tmp/accent-id-commonaccent_ecapa"
 )
 
 def classify_accent(video):
-    # 'video' will already be a path to the uploaded file
     audio = AudioSegment.from_file(video, format="mp4")
     audio.export("output.wav", format="wav")
 
@@ -24,10 +22,13 @@ def classify_accent(video):
 
     return f"Accent: {text_lab[0]} (Confidence: {score.item():.2f})"
 
-
-iface = gr.Interface(fn=classify_accent,
-                    inputs=gr.Video(),
-                     outputs="text")
+app = gr.Interface(
+    fn=classify_accent,
+    inputs=gr.Video(label="Upload an MP4"),
+    outputs=gr.Text(label="Prediction"),
+    title="English Accent Classifier",
+    description="Upload a short MP4 video of spoken English to detect accent."
+)
 
 if __name__ == "__main__":
-    iface.launch()
+    app.launch()