From 0281b70896bd8069a9d26dad1ef2b5090ae5fc4a Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期四, 25 一月 2024 10:20:31 +0800
Subject: [PATCH] update umap import
---
funasr/auto/auto_model.py | 8 ++++----
1 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index 0641f06..5f89dd6 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -146,7 +146,7 @@
set_all_random_seed(kwargs.get("seed", 0))
device = kwargs.get("device", "cuda")
- if not torch.cuda.is_available() or kwargs.get("ngpu", 0):
+ if not torch.cuda.is_available() or kwargs.get("ngpu", 0) == 0:
device = "cpu"
kwargs["batch_size"] = 1
kwargs["device"] = device
@@ -377,7 +377,7 @@
result[k] = restored_data[j][k]
else:
result[k] = torch.cat([result[k], restored_data[j][k]], dim=0)
- elif k == 'text':
+ elif k == 'raw_text':
if k not in result:
result[k] = restored_data[j][k]
else:
@@ -406,12 +406,12 @@
for res, vadsegment in zip(restored_data, vadsegments):
sentence_list.append({"start": vadsegment[0],\
"end": vadsegment[1],
- "sentence": res['text'],
+ "sentence": res['raw_text'],
"timestamp": res['timestamp']})
else: # punc_segment
sentence_list = timestamp_sentence(punc_res[0]['punc_array'], \
result['timestamp'], \
- result['text'])
+ result['raw_text'])
distribute_spk(sentence_list, sv_output)
result['sentence_info'] = sentence_list
--
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