Update AudioCaps.py

AudioCaps.py

@@ -28,6 +28,8 @@ import os
 from typing import Optional, List
 from multiprocessing import Lock, Process
 from tqdm import tqdm
+import io
+import librosa
 
 try:
     import yt_dlp
@@ -90,6 +92,32 @@ class AudioCaps(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         downloaded_files = dl_manager.download_and_extract(_URLs)
+        num_workers = os.getenv("AUDIOCAPS_NUM_WORKER", 4)
+
+        for split, filepath in downloaded_files.items():
+            download_dir = Path(filepath).parent
+            save_dir = download_dir.joinpath("AudioCaps", split)
+
+            df = pd.read_csv(filepath)
+
+            df_chunks = self.df_to_n_chunks(df, num_workers)
+            ps_ls = list()
+            for i in range(num_workers):
+                process = Process(
+                    target=self.yt_dlp_processor,
+                    args=(df_chunks[i], save_dir, i),
+                )
+                process.start()
+                ps_ls.append(process)
+
+            try:
+                for ps in ps_ls:
+                    ps.join()
+            except KeyboardInterrupt:
+                for ps in ps_ls:
+                    ps.terminate()
+                    ps.join()
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -115,12 +143,11 @@ class AudioCaps(datasets.GeneratorBasedBuilder):
         ]
 
     # copied from https://github.com/prompteus/audio-captioning/blob/main/audiocap/download_audiocaps.py
-    def download(
+    def yt_dlp_processor(
         self,
         df: pd.DataFrame,
         audios_dir: Path,
         pid: Optional[int] = 0,
-        lock: Optional[Lock] = None,
     ):
         """
         download yt videos specified in df, can be used in a multiprocess manner,
@@ -153,33 +180,28 @@ class AudioCaps(datasets.GeneratorBasedBuilder):
         return dfs
 
     def _generate_examples(self, filepath, split):
-        download_dir = Path(filepath).parent
-        save_dir = download_dir.joinpath("AudioCaps", split)
-        num_workers = os.getenv("AUDIO_CAPS_WORKER", 4)
+        rm_flag = os.getenv("AUDIOCAPS_RM_AUDIO_FILE", False)
+        save_flag = os.getenv("AUDIOCAPS_SAVE_TO_BYTE", False)
 
         df = pd.read_csv(filepath)
-
-        df_chunks = self.df_to_n_chunks(df, num_workers)
-        ps_ls = list()
-        for i in range(num_workers):
-            process = Process(
-                target=self.download,
-                args=(df_chunks[i], save_dir, i),
-            )
-            process.start()
-            ps_ls.append(process)
-
-        for ps in ps_ls:
-            ps.join()
+        download_dir = Path(filepath).parent
+        save_dir = download_dir.joinpath("AudioCaps", split)
 
         for id_, row in df.iterrows():
             wav_file = save_dir.joinpath(f"""{row["youtube_id"]}.wav""")
             if not wav_file.exists():
                 continue
+            audio = wav_file.read_bytes() if save_flag else str(wav_file)
+            if rm_flag:
+                # rm file
+                os.remove(wav_file)
             yield id_, {
                 "audiocap_id": row["audiocap_id"],
                 "youtube_id": row["youtube_id"],
                 "start_time": row["start_time"],
-                "audio": str(wav_file),
+                "audio": audio,
                 "caption": row["caption"],
             }
+        if rm_flag:
+            # rm dir
+            os.remove(save_dir)