From 4ba1011b42e041ee1d71448eefd7ef2e7bd61bb6 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 31 三月 2023 15:31:26 +0800
Subject: [PATCH] export

---
 funasr/bin/asr_inference_paraformer_vad.py |   19 ++++++++++++++++++-
 1 files changed, 18 insertions(+), 1 deletions(-)

diff --git a/funasr/bin/asr_inference_paraformer_vad.py b/funasr/bin/asr_inference_paraformer_vad.py
index dbb2719..a0dc0aa 100644
--- a/funasr/bin/asr_inference_paraformer_vad.py
+++ b/funasr/bin/asr_inference_paraformer_vad.py
@@ -38,7 +38,6 @@
 from funasr.utils import asr_utils, wav_utils, postprocess_utils
 from funasr.models.frontend.wav_frontend import WavFrontend
 from funasr.tasks.vad import VADTask
-from funasr.utils.timestamp_tools import time_stamp_lfr6
 from funasr.bin.punctuation_infer import Text2Punc
 from funasr.bin.asr_inference_paraformer_vad_punc import Speech2Text
 from funasr.bin.asr_inference_paraformer_vad_punc import Speech2VadSegment
@@ -168,6 +167,11 @@
         level=log_level,
         format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
     )
+
+    if param_dict is not None:
+        hotword_list_or_file = param_dict.get('hotword')
+    else:
+        hotword_list_or_file = None
     
     if ngpu >= 1 and torch.cuda.is_available():
         device = "cuda"
@@ -207,6 +211,7 @@
         ngram_weight=ngram_weight,
         penalty=penalty,
         nbest=nbest,
+        hotword_list_or_file=hotword_list_or_file,
     )
     speech2text = Speech2Text(**speech2text_kwargs)
     text2punc = None
@@ -223,7 +228,19 @@
                  output_dir_v2: Optional[str] = None,
                  fs: dict = None,
                  param_dict: dict = None,
+                 **kwargs,
                  ):
+
+        hotword_list_or_file = None
+        if param_dict is not None:
+            hotword_list_or_file = param_dict.get('hotword')
+
+        if 'hotword' in kwargs:
+            hotword_list_or_file = kwargs['hotword']
+
+        if speech2text.hotword_list is None:
+            speech2text.hotword_list = speech2text.generate_hotwords_list(hotword_list_or_file)
+
         # 3. Build data-iterator
         if data_path_and_name_and_type is None and raw_inputs is not None:
             if isinstance(raw_inputs, torch.Tensor):

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