update model selector

app.py

@@ -166,9 +166,6 @@ def get_model_options(pipeline_type):
         return ["openai/whisper-large-v3", "openai/whisper-large-v3-turbo", "primeline/whisper-large-v3-german"]
     else:
         return []
-
-def update_model_dropdown(pipeline_type):
-    return gr.Dropdown.update(choices=get_model_options(pipeline_type), value=get_model_options(pipeline_type)[0])
     
 def transcribe_audio(input_source, pipeline_type, model_id, dtype, batch_size, download_method, start_time=None, end_time=None, verbose=False):
     try:
@@ -259,7 +256,20 @@ def transcribe_audio(input_source, pipeline_type, model_id, dtype, batch_size, d
                 os.remove(trimmed_audio_path)
             except:
                 pass
-                
+
+def update_model_dropdown(pipeline_type):
+    model_choices = get_model_options(pipeline_type)
+    return gr.Dropdown.update(choices=model_choices, value=model_choices[0])
+
+def get_model_options(pipeline_type):
+    if pipeline_type == "faster-batched":
+        return ["cstr/whisper-large-v3-turbo-int8_float32"]
+    elif pipeline_type == "faster-sequenced":
+        return ["deepdml/faster-whisper-large-v3-turbo-ct2"]
+    elif pipeline_type == "transformers":
+        return ["openai/whisper-large-v3"]
+    return []
+
 with gr.Blocks() as iface:
     gr.Markdown("# Multi-Pipeline Transcription")
     gr.Markdown("Transcribe audio using multiple pipelines and models.")
@@ -286,7 +296,7 @@ with gr.Blocks() as iface:
         transcription_output = gr.Textbox(label="Transcription", lines=10)
         transcription_file = gr.File(label="Download Transcription")
     
-    pipeline_type.change(update_model_dropdown, inputs=[pipeline_type], outputs=[model_id])
+    pipeline_type.change(update_model_dropdown, inputs=pipeline_type, outputs=model_id)
     
     transcribe_button.click(
         transcribe_audio,