Revert "add simplified to traditional chinese conversion"

This reverts commit 8ebc812f5becfb3c08cabfd28bfeb25b9af2de89.

app/asr_worker.py

@@ -1,12 +1,12 @@
 import numpy as np
-import pysoxr
-from opencc import OpenCC
 import sherpa_onnx
 from pathlib import Path
+import scipy.signal
 
-MODEL_DIR = Path("models/zipformer_bilingual")
+def resample_audio(audio, orig_sr, target_sr):
+    return scipy.signal.resample_poly(audio, target_sr, orig_sr)
 
-converter = OpenCC('s2t')  # Simplified to Traditional Chinese
+MODEL_DIR = Path("models/zipformer_bilingual")
 
 def create_recognizer():
     return sherpa_onnx.OnlineRecognizer.from_transducer(
@@ -21,9 +21,6 @@ def create_recognizer():
         decoding_method="greedy_search"
     )
 
-def resample_audio(audio, orig_sr, target_sr):
-    return pysoxr.resample(audio, orig_sr, target_sr)
-
 def stream_audio(raw_pcm_bytes, stream, recognizer):
     audio = np.frombuffer(raw_pcm_bytes, dtype=np.float32)
     if audio.size == 0:
@@ -36,7 +33,7 @@ def stream_audio(raw_pcm_bytes, stream, recognizer):
     if recognizer.is_ready(stream):
         recognizer.decode_streams([stream])
     result = recognizer.get_result(stream)
-    return converter.convert(result), rms
+    return result, rms
 
 def finalize_stream(stream, recognizer):
     tail = np.zeros(int(0.66 * 16000), dtype=np.float32)
@@ -44,5 +41,4 @@ def finalize_stream(stream, recognizer):
     stream.input_finished()
     while recognizer.is_ready(stream):
         recognizer.decode_streams([stream])
-    result = recognizer.get_result(stream)
-    return converter.convert(result)
+    return recognizer.get_result(stream)

requirements.txt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b08ab37381178cb19b7876c22c7df8a82205f03c506c487a6f0cbe773707c23
-size 88
+oid sha256:8c564834ceb94d0d9aceef1ba37eed4451bca6eb05158ebd81518a7e68a1c2ef
+size 60