Fix publishing apks to huggingface (#1121)

Save APKs for each release in a separate directory.

Huggingface requires that each directory cannot contain more than 1000 files.

Since we have so many tts models and for each model we need to build APKs of 4 different ABIs,
it is a workaround for the huggingface's constraint by placing them into separate directories for different releases.

python-api-examples/generate-subtitles.py

@@ -12,12 +12,12 @@ Supported file formats are those supported by ffmpeg; for instance,
 Note that you need a non-streaming model for this script.
 
 Please visit
-https://github.com/snakers4/silero-vad/blob/master/files/silero_vad.onnx
+https://github.com/snakers4/silero-vad/raw/master/src/silero_vad/data/silero_vad.onnx
 to download silero_vad.onnx
 
 For instance,
 
-wget https://github.com/snakers4/silero-vad/raw/master/files/silero_vad.onnx
+wget https://github.com/snakers4/silero-vad/raw/master/src/silero_vad/data/silero_vad.onnx
 
 (1) For paraformer
 
@@ -386,7 +386,7 @@ def main():
 
     print("Started!")
 
-    is_silence=False
+    is_silence = False
     # TODO(fangjun): Support multithreads
     while True:
         # *2 because int16_t has two bytes
@@ -394,9 +394,9 @@ def main():
         if not data:
             if is_silence:
                 break
-            is_silence=True
+            is_silence = True
             # The converted audio file does not have a mute data of 1 second or more at the end, which will result in the loss of the last segment data
-            data = np.zeros(1*args.sample_rate,dtype=np.int16)
+            data = np.zeros(1 * args.sample_rate, dtype=np.int16)
 
         samples = np.frombuffer(data, dtype=np.int16)
         samples = samples.astype(np.float32) / 32768