From ba4256ecabf8df17cb8d89f8803ea1cea9b7f349 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 23 三月 2023 17:16:14 +0800
Subject: [PATCH] Merge pull request #285 from alibaba-damo-academy/dev_gzf

---
 funasr/bin/vad_inference_online.py |   24 ++++++++++--------------
 1 files changed, 10 insertions(+), 14 deletions(-)

diff --git a/funasr/bin/vad_inference_online.py b/funasr/bin/vad_inference_online.py
index cee1929..dadfd8c 100644
--- a/funasr/bin/vad_inference_online.py
+++ b/funasr/bin/vad_inference_online.py
@@ -1,5 +1,6 @@
 import argparse
 import logging
+import os
 import sys
 import json
 from pathlib import Path
@@ -29,14 +30,7 @@
 from funasr.models.frontend.wav_frontend import WavFrontend
 from funasr.bin.vad_inference import Speech2VadSegment
 
-header_colors = '\033[95m'
-end_colors = '\033[0m'
 
-global_asr_language: str = 'zh-cn'
-global_sample_rate: Union[int, Dict[Any, int]] = {
-    'audio_fs': 16000,
-    'model_fs': 16000
-}
 
 
 class Speech2VadSegmentOnline(Speech2VadSegment):
@@ -96,7 +90,7 @@
             }
             # a. To device
             batch = to_device(batch, device=self.device)
-            segments, in_cache = self.vad_model(**batch)
+            segments, in_cache = self.vad_model.forward_online(**batch)
             # in_cache.update(batch['in_cache'])
             # in_cache = {key: value for key, value in batch['in_cache'].items()}
         return fbanks, segments, in_cache
@@ -236,12 +230,14 @@
             # param_dict['in_cache'] = batch['in_cache']
             if results:
                 for i, _ in enumerate(keys):
-                    results[i] = json.dumps(results[i])
-                    item = {'key': keys[i], 'value': results[i]}
-                    vad_results.append(item)
-                    if writer is not None:
-                        results[i] = json.loads(results[i])
-                        ibest_writer["text"][keys[i]] = "{}".format(results[i])
+                    if results[i]:
+                        if "MODELSCOPE_ENVIRONMENT" in os.environ and os.environ["MODELSCOPE_ENVIRONMENT"] == "eas":
+                            results[i] = json.dumps(results[i])
+                        item = {'key': keys[i], 'value': results[i]}
+                        vad_results.append(item)
+                        if writer is not None:
+                            results[i] = json.loads(results[i])
+                            ibest_writer["text"][keys[i]] = "{}".format(results[i])
 
         return vad_results
 

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