From 28ccfbfc51068a663a80764e14074df5edf2b5ba Mon Sep 17 00:00:00 2001
From: kongdeqiang <kongdeqiang960204@163.com>
Date: 星期五, 13 三月 2026 17:41:41 +0800
Subject: [PATCH] 提交

---
 examples/industrial_data_pretraining/llm_asr/demo_speech2text.py |   32 +++++++++++++++++++++++++++-----
 1 files changed, 27 insertions(+), 5 deletions(-)

diff --git a/examples/industrial_data_pretraining/llm_asr/demo_speech2text.py b/examples/industrial_data_pretraining/llm_asr/demo_speech2text.py
index 072dcdf..77e1b28 100644
--- a/examples/industrial_data_pretraining/llm_asr/demo_speech2text.py
+++ b/examples/industrial_data_pretraining/llm_asr/demo_speech2text.py
@@ -3,20 +3,42 @@
 # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
 #  MIT License  (https://opensource.org/licenses/MIT)
 
+import json
+import os
+import sys
+
 from funasr import AutoModel
 
+if len(sys.argv) > 1:
+    ckpt_dir = sys.argv[1]
+    ckpt_id = sys.argv[2]
+    jsonl = sys.argv[3]
+    output_dir = sys.argv[4]
+    device = sys.argv[5]
+else:
+    ckpt_dir = "/nfs/beinian.lzr/workspace/GPT-4o/Exp/exp6/5m-8gpu/exp6_speech2text_linear_ddp_0609"
+    ckpt_id = "model.pt.ep0.90000"
+    jsonl = "/nfs/beinian.lzr/workspace/GPT-4o/Data/Speech2Text/TestData/aishell1_test_speech2text.jsonl"
+    dataset = jsonl.split("/")[-1]
+    output_dir = os.path.join(ckpt_dir, f"inference-{ckpt_id}", dataset)
+    device = "cuda:0"
+
+
 model = AutoModel(
-    model="/nfs/beinian.lzr/workspace/GPT-4o/Exp/exp6/4m-8gpu/exp6_speech2text_0607_linear_ddp",
+    model=ckpt_dir,
+    init_param=f"{os.path.join(ckpt_dir, ckpt_id)}",
+    output_dir=output_dir,
+    device=device,
+    fp16=False,
+    bf16=False,
+    llm_dtype="bf16",
 )
 
-jsonl = (
-    "/nfs/beinian.lzr/workspace/GPT-4o/Data/Speech2Text/TestData/aishell1_test_speech2text.jsonl"
-)
 
 with open(jsonl, "r") as f:
     lines = f.readlines()
 
-tearchforing = True
+tearchforing = False
 for i, line in enumerate(lines):
     data_dict = json.loads(line.strip())
     data = data_dict["messages"]

--
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