From 57e023e5cfa522007e24d87c8e3d82bf7c4a19cd Mon Sep 17 00:00:00 2001
From: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
Date: 星期二, 18 二月 2025 15:15:40 +0800
Subject: [PATCH] Merge pull request #2382 from msgk239/dev_clean

---
 funasr/utils/load_utils.py |   27 +++++++++++++++++++++------
 1 files changed, 21 insertions(+), 6 deletions(-)

diff --git a/funasr/utils/load_utils.py b/funasr/utils/load_utils.py
index aabf5d9..072b578 100644
--- a/funasr/utils/load_utils.py
+++ b/funasr/utils/load_utils.py
@@ -10,7 +10,6 @@
 import time
 import logging
 from torch.nn.utils.rnn import pad_sequence
-from pydub import AudioSegment
 
 try:
     from funasr.download.file import download_from_url
@@ -19,6 +18,11 @@
 import pdb
 import subprocess
 from subprocess import CalledProcessError, run
+
+try:
+    from pydub import AudioSegment
+except:
+    pass
 
 
 def is_ffmpeg_installed():
@@ -82,8 +86,10 @@
     ):  # download url to local file
         data_or_path_or_list = download_from_url(data_or_path_or_list)
 
-    if isinstance(data_or_path_or_list, str) and os.path.exists(data_or_path_or_list):  # local file
+    if (isinstance(data_or_path_or_list, str) and os.path.exists(data_or_path_or_list)) or hasattr(data_or_path_or_list, 'read'):  # local file or bytes io
         if data_type is None or data_type == "sound":
+            if hasattr(data_or_path_or_list, "read") and hasattr(data_or_path_or_list, "seek"):
+                data_or_path_or_list.seek(0)
             # if use_ffmpeg:
             #     data_or_path_or_list = _load_audio_ffmpeg(data_or_path_or_list, sr=fs)
             #     data_or_path_or_list = torch.from_numpy(data_or_path_or_list).squeeze()  # [n_samples,]
@@ -138,7 +144,10 @@
 
 
 def load_bytes(input):
-    input = validate_frame_rate(input)
+    try:
+        input = validate_frame_rate(input)
+    except:
+        pass
     middle_data = np.frombuffer(input, dtype=np.int16)
     middle_data = np.asarray(middle_data)
     if middle_data.dtype.kind not in "iu":
@@ -153,16 +162,22 @@
     array = np.frombuffer((middle_data.astype(dtype) - offset) / abs_max, dtype=np.float32)
     return array
 
+
 def validate_frame_rate(
     input,
     fs: int = 16000,
 ):
-    
+
     # 灏嗘枃浠惰鍙栦负瀛楄妭娴�
     byte_data = BytesIO(input)
 
     # 浣跨敤 pydub 鍔犺浇闊抽
-    audio = AudioSegment.from_file(byte_data)
+    try:
+        audio = AudioSegment.from_file(byte_data)
+    except:
+        raise RuntimeError(
+            "You are decoding the pcm data, please install pydub first. via `pip install pydub`."
+        )
 
     # 纭繚閲囨牱鐜囦负 16000 Hz
     if audio.frame_rate != fs:
@@ -175,7 +190,7 @@
 
         # 鑾峰彇閲嶆柊閲囨牱鍚庣殑瀛楄妭娴佹暟鎹�
         input = output.read()
-        
+
     return input
 
 

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