Recommend faster-whisper for GPU inference

app.py

@@ -399,16 +399,31 @@ def create_ui(app_config: ApplicationConfig):
     ui.set_parallel_devices(app_config.vad_parallel_devices)
     ui.set_auto_parallel(app_config.auto_parallel)
 
-    ui_description = "Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse " 
+    is_whisper = False
+
+    if app_config.whisper_implementation == "whisper":
+        implementation_name = "Whisper"
+        is_whisper = True
+    elif app_config.whisper_implementation in ["faster-whisper", "faster_whisper"]:
+        implementation_name = "Faster Whisper"
+    else:
+        # Try to convert from camel-case to title-case
+        implementation_name = app_config.whisper_implementation.title().replace("_", " ").replace("-", " ")
+
+    ui_description = implementation_name + " is a general-purpose speech recognition model. It is trained on a large dataset of diverse " 
     ui_description += " audio and is also a multi-task model that can perform multilingual speech recognition "
     ui_description += " as well as speech translation and language identification. "
 
     ui_description += "\n\n\n\nFor longer audio files (>10 minutes) not in English, it is recommended that you select Silero VAD (Voice Activity Detector) in the VAD option."
 
+    # Recommend faster-whisper
+    if is_whisper:
+        ui_description += "\n\n\n\nFor faster inference on GPU, try [faster-whisper](https://huggingface.co/spaces/aadnk/faster-whisper-webui)."
+
     if app_config.input_audio_max_duration > 0:
         ui_description += "\n\n" + "Max audio file length: " + str(app_config.input_audio_max_duration) + " s"
 
-    ui_article = "Read the [documentation here](https://gitlab.com/aadnk/whisper-webui/-/blob/main/docs/options.md)"
+    ui_article = "Read the [documentation here](https://gitlab.com/aadnk/whisper-webui/-/blob/main/docs/options.md)."
 
     whisper_models = app_config.get_model_names()