Add Android demo for spoken language identification using Whisper multilingual models (#783)

scripts/apk/generate-slid-apk-script.py

@@ -0,0 +1,90 @@
+#!/usr/bin/env python3
+
+import argparse
+from dataclasses import dataclass
+from typing import List, Optional
+
+import jinja2
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--total",
+        type=int,
+        default=1,
+        help="Number of runners",
+    )
+    parser.add_argument(
+        "--index",
+        type=int,
+        default=0,
+        help="Index of the current runner",
+    )
+    return parser.parse_args()
+
+
+@dataclass
+class SlidModel:
+    model_name: str
+    idx: int
+    short_name: str = ""
+
+
+def get_models():
+    # see https://k2-fsa.github.io/sherpa/onnx/spolken-language-identification/pretrained_models.html#pre-trained-models
+    whisper_models = [
+        SlidModel(
+            model_name="sherpa-onnx-whisper-tiny",
+            idx=0,
+            short_name="whisper_tiny",
+        ),
+    ]
+
+    return whisper_models
+
+
+def main():
+    args = get_args()
+    index = args.index
+    total = args.total
+    assert 0 <= index < total, (index, total)
+
+    all_model_list = get_models()
+
+    num_models = len(all_model_list)
+
+    num_per_runner = num_models // total
+    if num_per_runner <= 0:
+        raise ValueError(f"num_models: {num_models}, num_runners: {total}")
+
+    start = index * num_per_runner
+    end = start + num_per_runner
+
+    remaining = num_models - args.total * num_per_runner
+
+    print(f"{index}/{total}: {start}-{end}/{num_models}")
+
+    d = dict()
+    d["model_list"] = all_model_list[start:end]
+    if index < remaining:
+        s = args.total * num_per_runner + index
+        d["model_list"].append(all_model_list[s])
+        print(f"{s}/{num_models}")
+
+    filename_list = [
+        "./build-apk-slid.sh",
+    ]
+    for filename in filename_list:
+        environment = jinja2.Environment()
+        with open(f"{filename}.in") as f:
+            s = f.read()
+        template = environment.from_string(s)
+
+        s = template.render(**d)
+        with open(filename, "w") as f:
+            print(s, file=f)
+
+
+if __name__ == "__main__":
+    main()