fix bug

examples/industrial_data_pretraining/llm_asr/demo_speech2text.py

@@ -6,29 +6,23 @@
 from funasr import AutoModel
 
 model = AutoModel(
-    model="iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
-    vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
-    vad_kwargs={"max_single_segment_time": 60000},
-    punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
-    # spk_model="iic/speech_campplus_sv_zh-cn_16k-common",
+    model="/nfs/beinian.lzr/workspace/GPT-4o/Exp/exp6/4m-8gpu/exp6_speech2text_0607_linear_ddp",
 )
 
-res = model.generate(
-    input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
-    cache={},
+jsonl = (
+    "/nfs/beinian.lzr/workspace/GPT-4o/Data/Speech2Text/TestData/aishell1_test_speech2text.jsonl"
 )
 
-print(res)
+with open(jsonl, "r") as f:
+    lines = f.readlines()
 
+for i, line in enumerate(lines):
+    data_dict = json.loads(line.strip())
+    data = data_dict["messages"]
 
-""" can not use currently
-from funasr import AutoFrontend
+    res = model.generate(
+        input=data,
+        cache={},
+    )
 
-frontend = AutoFrontend(model="iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
-
-fbanks = frontend(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", batch_size=2)
-
-for batch_idx, fbank_dict in enumerate(fbanks):
-    res = model.generate(**fbank_dict)
     print(res)
-"""

funasr/models/llm_asr/model.py

@@ -532,7 +532,7 @@ class LLMASR2(nn.Module):
         loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
         return loss, stats, weight
 
-    def data_template(self, data_in):
+    def data_template(self, data):
         system, user, assistant = [], [], []
         for i, item in enumerate(data):
             role = item["role"]