Update multilingual-TEDX-fr.py

multilingual-TEDX-fr.py

@@ -9,6 +9,13 @@ import ffmpeg
 import csv
 import datasets
 import numpy as np
+try:
+    import ffmpeg
+    FFMPEG_AVAILABLE = True
+except ImportError:
+    import librosa
+    FFMPEG_AVAILABLE = False
+
 
 _CITATION = """\
   @inproceedings{salesky2021mtedx,
@@ -201,17 +208,22 @@ class TEDX(datasets.GeneratorBasedBuilder):
         #import librosa
         #with open(file, "rb") as f:
         #    return librosa.load(f, sr=sr)
-        try:
-            # This launches a subprocess to decode audio while down-mixing and resampling as necessary.
-            # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
-            out, _ = (
-                ffmpeg.input(file)
-                .output('-', format='s16le', acodec='pcm_s16le', ac=1, ar=sr)
-                .run(capture_stdout=True, capture_stderr=True)
-            )
-        except ffmpeg.Error as e:
-            raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e
-        return np.frombuffer(out, np.int16).flatten().astype(np.float32) / 32768.0
+        if FFMPEG_AVAILABLE:
+            try:
+                # This launches a subprocess to decode audio while down-mixing and resampling as necessary.
+                # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
+                out, _ = (
+                    ffmpeg.input(file)
+                    .output('-', format='s16le', acodec='pcm_s16le', ac=1, ar=sr)
+                    .run(capture_stdout=True, capture_stderr=True)
+                )
+            except ffmpeg.Error as e:
+                raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e
+            return np.frombuffer(out, np.int16).flatten().astype(np.float32) / 32768.0
+        else:
+            with open(file, "rb") as f:
+                return librosa.load(f, sr=sr)
+
 
     @staticmethod
     def _cut_audio(audio: Array, start_timestamp: float, end_timestamp: float):