ignore

download_audio.py

@@ -3,12 +3,13 @@ import tarfile
 import zipfile
 import gzip
 import traceback
-import requests
+# import requests
 from os.path import join as p_join
 from tqdm import tqdm
 from multiprocessing import Pool
 from typing import Optional
 from urllib3.connection import ConnectionError
+import urllib.request
 
 import pandas as pd
 
@@ -16,7 +17,7 @@ import pandas as pd
 url_metadata_s2s = "https://dl.fbaipublicfiles.com/seamless/data/seamless_align_nov2023_extension/seamless.dataset.metadata.public.enA-jaA.tsv.gz"
 url_metadata_s2t = "https://dl.fbaipublicfiles.com/seamless/data/seamless.dataset.metadata.public.enA-jpn.withduration.tsv.gz"
 cache_dir_root = "./download"
-n_pool = 8
+n_pool = int(os.getenv("N_POOL", 8))
 
 
 def wget(url: str, cache_dir: str, filename: Optional[str] = None):
@@ -24,9 +25,10 @@ def wget(url: str, cache_dir: str, filename: Optional[str] = None):
     filename = os.path.basename(url) if not filename else filename
     output_file = p_join(cache_dir, filename)
     try:
-        with open(output_file, "wb") as f:
-            r = requests.get(url)
-            f.write(r.content)
+        urllib.request.urlretrieve(url, output_file)
+        # with open(output_file, "wb") as f:
+        #     r = requests.get(url)
+        #     f.write(r.content)
     except ConnectionError or KeyboardInterrupt:
         traceback.print_exc()
         os.remove(output_file)
@@ -77,8 +79,14 @@ def process_dataset(url_metadata):
     ) for _, r in df_metadata.iterrows()]
     inputs = [x for x in inputs if not os.path.exists(p_join(cache_dir_root, "audio", x[1]))]
     print(f"{len(inputs)} urls to download")
-    with Pool(n_pool) as pool:
-        pool.starmap(get_audio, tqdm(inputs, total=len(inputs)))
+    if n_pool == 1:
+        for url, filename in tqdm(inputs, total=len(inputs)):
+            flag = get_audio(url, filename)
+            if flag:
+                print(f"failed:\n{url}")
+    else:
+        with Pool(n_pool) as pool:
+            pool.starmap(get_audio, tqdm(inputs, total=len(inputs)))
 
 
 if __name__ == '__main__':