Update app.py

app.py

@@ -25,6 +25,9 @@ def load_pipeline(model_name):
     )
 
 pipe = load_pipeline(DEFAULT_MODEL_NAME)
+openai_pipe=load_pipeline("openai/whisper-large-v3")
+default_pipe = load_pipeline(DEFAULT_MODEL_NAME)
+
 #pipe = None
 
 
@@ -97,9 +100,16 @@ def transcribe(audio_path, model_name):
     global pipe
     if model_name != pipe.model.name_or_path:
         print("old model is:"+ pipe.model.name_or_path )
-        print(str(time.time())+'  start load model ' + model_name)
-        pipe = load_pipeline(model_name)
-        print(str(time.time())+'  finished load model ' + model_name)
+        if model_name=="openai/whisper-large-v3":
+            pipe=openai_pipe
+            print(str(time.time())+" use openai model " + pipe.model.name_or_path)
+        elif model_name==DEFAULT_MODEL_NAME:
+            pipe=default_pipe
+            print(str(time.time())+" use default model " + pipe.model.name_or_path)
+        else:
+            print(str(time.time())+'  start load model ' + model_name)
+            pipe = load_pipeline(model_name)
+            print(str(time.time())+'  finished load model ' + model_name)
     
     start_time = time.time()  # Record the start time
     print(str(time.time())+'  start processing and set recording start time point')