docs

funasr/bin/asr_inference_launch.py

@@ -45,7 +45,7 @@ from funasr.utils.types import str2bool
 from funasr.utils.types import str2triple_str
 from funasr.utils.types import str_or_none
 from funasr.utils.vad_utils import slice_padding_fbank
-
+from tqdm import tqdm
 
 def inference_asr(
         maxlenratio: float,
@@ -651,7 +651,8 @@ def inference_paraformer_vad_punc(
             
             batch_size_token_ms_cum = 0
             beg_idx = 0
-            for j, _ in enumerate(range(0, n)):
+            beg_asr_total = time.time()
+            for j, _ in tqdm(enumerate(range(0, n))):
                 batch_size_token_ms_cum += (sorted_data[j][0][1] - sorted_data[j][0][0])
                 if j < n - 1 and (batch_size_token_ms_cum + sorted_data[j + 1][0][1] - sorted_data[j + 1][0][0]) < batch_size_token_ms and (sorted_data[j + 1][0][1] - sorted_data[j + 1][0][0]) < batch_size_token_threshold_s:
                     continue
@@ -661,16 +662,17 @@ def inference_paraformer_vad_punc(
                 beg_idx = end_idx
                 batch = {"speech": speech_j, "speech_lengths": speech_lengths_j}
                 batch = to_device(batch, device=device)
-                print("batch: ", speech_j.shape[0])
+                # print("batch: ", speech_j.shape[0])
                 beg_asr = time.time()
                 results = speech2text(**batch)
                 end_asr = time.time()
-                print("time cost asr: ", end_asr - beg_asr)
+                # print("time cost asr: ", end_asr - beg_asr)
 
                 if len(results) < 1:
                     results = [["", [], [], [], [], [], []]]
                 results_sorted.extend(results)
-
+            end_asr_total = time.time()
+            print("total time cost asr: ", end_asr_total-beg_asr_total)
             restored_data = [0] * n
             for j in range(n):
                 index = sorted_data[j][1]

funasr/quick_start.md

@@ -26,7 +26,7 @@ python funasr_wss_server.py --port 10095
 python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "5,10,5"
 ```
 
-For more examples, please refer to [docs](https://alibaba-damo-academy.github.io/FunASR/en/runtime/websocket_python.html#id2).
+For more examples, please refer to [docs](runtime/python/websocket/README.md).
 
 ### C++ version Example
 

funasr/quick_start_zh.md

@@ -26,7 +26,7 @@ python funasr_wss_server.py --port 10095
 python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "5,10,5"
 #python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "8,8,4" --audio_in "./data/wav.scp"
 ```
-更多例子可以参考（[点击此处](runtime/websocket_python.html#id2)）
+更多例子可以参考（[点击此处](runtime/python/websocket/README.md)）
 
 <a name="cpp版本示例"></a>
 #### c++版本示例

funasr/version.txt

@@ -1 +1 @@
-0.7.6
+0.7.7

setup.py

@@ -39,6 +39,7 @@ requirements = {
         "edit-distance",
         "textgrid",
         "protobuf",
+        "tqdm",
     ],
     # train: The modules invoked when training only.
     "train": [