Update app.py

app.py

@@ -14,7 +14,7 @@ logger.info("onnx_asr version: %s", version("onnx_asr"))
 
 vad = onnx_asr.load_vad("silero")
 
-whisper = {name: onnx_asr.load_model(name) for name in ["whisper-base"]}
+models_multilang = {name: onnx_asr.load_model(name) for name in ["whisper-base", "nemo-parakeet-tdt-0.6b-v3"]}
 
 models_ru = {
     name: onnx_asr.load_model(name)
@@ -31,12 +31,11 @@ models_ru = {
 models_en = {
     name: onnx_asr.load_model(name)
     for name in [
-        "nemo-parakeet-ctc-0.6b",
         "nemo-parakeet-tdt-0.6b-v2",
     ]
 }
 
-models_vad = whisper | models_ru | models_en
+models_vad = models_multilang | models_ru | models_en
 
 
 def recognize(audio: tuple[int, np.ndarray], models, language):
@@ -69,11 +68,11 @@ def recognize(audio: tuple[int, np.ndarray], models, language):
 
 
 def recognize_ru(audio: tuple[int, np.ndarray]):
-    return recognize(audio, models_ru | whisper, "ru")
+    return recognize(audio, models_ru | models_multilang, "ru")
 
 
 def recognize_en(audio: tuple[int, np.ndarray]):
-    return recognize(audio, models_en | whisper, "en")
+    return recognize(audio, models_en | models_multilang, "en")
 
 
 def recognize_with_vad(audio: tuple[int, np.ndarray], name: str):
@@ -136,8 +135,7 @@ with gr.Blocks(title="onnx-asr demo") as demo:
     # ASR demo using onnx-asr
     **[onnx-asr](https://github.com/istupakov/onnx-asr)** is a Python package for Automatic Speech Recognition using ONNX models.
     The package is written in pure Python with minimal dependencies (no `pytorch` or `transformers`).
-
-    Supports Parakeet TDT 0.6B V2 (En) and GigaAM v2 (Ru) models 
+    Supports Parakeet TDT 0.6B V2 (En), Parakeet TDT 0.6B V3 (Multilingual) and GigaAM v2 (Ru) models 
     (and many other modern [models](https://github.com/istupakov/onnx-asr?tab=readme-ov-file#supported-model-names)).
     You can also use it with your own model if it has a supported architecture.
     """)
@@ -155,12 +153,13 @@ with gr.Blocks(title="onnx-asr demo") as demo:
         * `gigaam-v2-rnnt` - Sber GigaAM v2 RNN-T ([origin](https://github.com/salute-developers/GigaAM), [onnx](https://huggingface.co/istupakov/gigaam-v2-onnx))
         * `nemo-fastconformer-ru-ctc` - Nvidia FastConformer-Hybrid Large (ru) with CTC decoder ([origin](https://huggingface.co/nvidia/stt_ru_fastconformer_hybrid_large_pc), [onnx](https://huggingface.co/istupakov/stt_ru_fastconformer_hybrid_large_pc_onnx))
         * `nemo-fastconformer-ru-rnnt` - Nvidia FastConformer-Hybrid Large (ru) with RNN-T decoder ([origin](https://huggingface.co/nvidia/stt_ru_fastconformer_hybrid_large_pc), [onnx](https://huggingface.co/istupakov/stt_ru_fastconformer_hybrid_large_pc_onnx))
+        * `nemo-parakeet-tdt-0.6b-v3` - Nvidia Parakeet TDT 0.6B V3 (multilingual) ([origin](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3), [onnx](https://huggingface.co/istupakov/parakeet-tdt-0.6b-v3-onnx))
         * `whisper-base` - OpenAI Whisper Base exported with onnxruntime ([origin](https://huggingface.co/openai/whisper-base), [onnx](https://huggingface.co/istupakov/whisper-base-onnx))
         * `alphacep/vosk-model-ru` - Alpha Cephei Vosk 0.54-ru ([origin](https://huggingface.co/alphacep/vosk-model-ru))
         * `alphacep/vosk-model-small-ru` - Alpha Cephei Vosk 0.52-small-ru ([origin](https://huggingface.co/alphacep/vosk-model-small-ru))
         ## English ASR models
-        * `nemo-parakeet-ctc-0.6b` - Nvidia Parakeet CTC 0.6B (en) ([origin](https://huggingface.co/nvidia/parakeet-ctc-0.6b), [onnx](https://huggingface.co/istupakov/parakeet-ctc-0.6b-onnx))
         * `nemo-parakeet-tdt-0.6b-v2` - Nvidia Parakeet TDT 0.6B V2 (en) ([origin](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2), [onnx](https://huggingface.co/istupakov/parakeet-tdt-0.6b-v2-onnx))
+        * `nemo-parakeet-tdt-0.6b-v3` - Nvidia Parakeet TDT 0.6B V3 (multilingual) ([origin](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3), [onnx](https://huggingface.co/istupakov/parakeet-tdt-0.6b-v3-onnx))
         * `whisper-base` - OpenAI Whisper Base exported with onnxruntime ([origin](https://huggingface.co/openai/whisper-base), [onnx](https://huggingface.co/istupakov/whisper-base-onnx))
         ## VAD models
         * `silero` - Silero VAD ([origin](https://github.com/snakers4/silero-vad), [onnx](https://huggingface.co/onnx-community/silero-vad))