Update app.py

app.py

@@ -6,6 +6,9 @@ text = "[Github]"
 paper_link = "https://arxiv.org/pdf/2307.03183.pdf"
 paper_text = "[Paper]"
 
+model = whisper.load_model("tiny")
+print('model loaded')
+
 def predict(audio_path, time_resolution):
     def round_time_resolution(time_resolution):
         multiple = time_resolution / 0.4
@@ -13,7 +16,6 @@ def predict(audio_path, time_resolution):
         rounded_time_resolution = rounded_multiple * 0.4
         return rounded_time_resolution
     audio_tagging_time_resolution = round_time_resolution(time_resolution)
-    model = whisper.load_model("tiny")
     result = model.transcribe(audio_path, at_time_res=audio_tagging_time_resolution)
     # ASR Results
     print(result["text"])