Support specifying provider for python examples (#244)

@@ -80,6 +80,13 @@ def get_args():
     )
     )
 
 
     parser.add_argument(
     parser.add_argument(
+        "--provider",
+        type=str,
+        default="cpu",
+        help="Valid values: cpu, cuda, coreml",
+    )
+
+    parser.add_argument(
         "--bpe-model",
         "--bpe-model",
         type=str,
         type=str,
         default="",
         default="",
@@ -204,6 +211,7 @@ def main():
         decoder=args.decoder,
         decoder=args.decoder,
         joiner=args.joiner,
         joiner=args.joiner,
         num_threads=args.num_threads,
         num_threads=args.num_threads,
+        provider=args.provider,
         sample_rate=16000,
         sample_rate=16000,
         feature_dim=80,
         feature_dim=80,
         decoding_method=args.decoding_method,
         decoding_method=args.decoding_method,
@@ -220,7 +228,6 @@ def main():
         print(f"Contexts list: {contexts}")
         print(f"Contexts list: {contexts}")
         contexts_list = encode_contexts(args, contexts)
         contexts_list = encode_contexts(args, contexts)
 
 
-
     streams = []
     streams = []
     total_duration = 0
     total_duration = 0
     for wave_filename in args.sound_files:
     for wave_filename in args.sound_files:

@@ -72,6 +72,13 @@ def get_args():
         help="Valid values are greedy_search and modified_beam_search",
         help="Valid values are greedy_search and modified_beam_search",
     )
     )
 
 
+    parser.add_argument(
+        "--provider",
+        type=str,
+        default="cpu",
+        help="Valid values: cpu, cuda, coreml",
+    )
+
     return parser.parse_args()
     return parser.parse_args()
 
 
 
 
@@ -97,6 +104,7 @@ def create_recognizer():
         rule2_min_trailing_silence=1.2,
         rule2_min_trailing_silence=1.2,
         rule3_min_utterance_length=300,  # it essentially disables this rule
         rule3_min_utterance_length=300,  # it essentially disables this rule
         decoding_method=args.decoding_method,
         decoding_method=args.decoding_method,
+        provider=args.provider,
     )
     )
     return recognizer
     return recognizer
 
 

@@ -83,6 +83,13 @@ def get_args():
     )
     )
 
 
     parser.add_argument(
     parser.add_argument(
+        "--provider",
+        type=str,
+        default="cpu",
+        help="Valid values: cpu, cuda, coreml",
+    )
+
+    parser.add_argument(
         "--bpe-model",
         "--bpe-model",
         type=str,
         type=str,
         default="",
         default="",
@@ -148,10 +155,12 @@ def create_recognizer():
         feature_dim=80,
         feature_dim=80,
         decoding_method=args.decoding_method,
         decoding_method=args.decoding_method,
         max_active_paths=args.max_active_paths,
         max_active_paths=args.max_active_paths,
+        provider=args.provider,
         context_score=args.context_score,
         context_score=args.context_score,
     )
     )
     return recognizer
     return recognizer
 
 
+
 def encode_contexts(args, contexts: List[str]) -> List[List[int]]:
 def encode_contexts(args, contexts: List[str]) -> List[List[int]]:
     sp = None
     sp = None
     if "bpe" in args.modeling_unit:
     if "bpe" in args.modeling_unit:
@@ -172,6 +181,7 @@ def encode_contexts(args, contexts: List[str]) -> List[List[int]]:
         tokens_table=tokens,
         tokens_table=tokens,
     )
     )
 
 
+
 def main():
 def main():
     args = get_args()
     args = get_args()
 
 
@@ -205,6 +215,7 @@ def main():
                 last_result = result
                 last_result = result
                 print("\r{}".format(result), end="", flush=True)
                 print("\r{}".format(result), end="", flush=True)
 
 
+
 if __name__ == "__main__":
 if __name__ == "__main__":
     devices = sd.query_devices()
     devices = sd.query_devices()
     print(devices)
     print(devices)

@@ -129,6 +129,13 @@ def add_model_args(parser: argparse.ArgumentParser):
         help="Feature dimension of the model",
         help="Feature dimension of the model",
     )
     )
 
 
+    parser.add_argument(
+        "--provider",
+        type=str,
+        default="cpu",
+        help="Valid values: cpu, cuda, coreml",
+    )
+
 
 
 def add_decoding_args(parser: argparse.ArgumentParser):
 def add_decoding_args(parser: argparse.ArgumentParser):
     parser.add_argument(
     parser.add_argument(
@@ -301,6 +308,7 @@ def create_recognizer(args) -> sherpa_onnx.OnlineRecognizer:
         rule1_min_trailing_silence=args.rule1_min_trailing_silence,
         rule1_min_trailing_silence=args.rule1_min_trailing_silence,
         rule2_min_trailing_silence=args.rule2_min_trailing_silence,
         rule2_min_trailing_silence=args.rule2_min_trailing_silence,
         rule3_min_utterance_length=args.rule3_min_utterance_length,
         rule3_min_utterance_length=args.rule3_min_utterance_length,
+        provider=args.provider,
     )
     )
 
 
     return recognizer
     return recognizer