Update app.py

app.py

@@ -2,17 +2,8 @@ import gradio as gr
 
 model = gr.Interface.load("huggingface/pyannote/voice-activity-detection")
 
-#load input file and resample to 16kHz
-def load_data(path):
-    speech, sampling_rate = librosa.load(path)
-    if len(speech.shape) > 1:
-        speech = speech[:,0] + speech[:,1]
-    if sampling_rate != 16000:
-        speech = librosa.resample(speech, sampling_rate,16000)
-    return speech
-    
-def inference(path):
-    audio = load_data(path)
+def inference(audio_file):
+    output = model(audio_file)
 
 inputs = gr.inputs.Audio(label="Input Audio", type="filepath", source="microphone")
 outputs = gr.outputs.Label(type="auto", label = "Voice timestamps")
@@ -20,7 +11,7 @@ title = "Voice Activity Detection"
 description = "Record or upload an audio file and detected human voices will be timestamped."
 article = "<a href = 'pyannote, https://github.com/pyannote/pyannote-audio"
 
-gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, theme="dark").launch(debug=True)
+gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, theme="grass").launch(debug=True)