Improve make_waveform

CHANGELOG.md

@@ -10,6 +10,7 @@
 - Restored missing imports in `gr.components` by [@abidlabs](https://github.com/abidlabs) in [PR 4566](https://github.com/gradio-app/gradio/pull/4566)
 - Fix bug where `select` event was not triggered in `gr.Gallery` if `height` was set to be large with `allow_preview=False` by [@freddyaboulton](https://github.com/freddyaboulton) in [PR 4551](https://github.com/gradio-app/gradio/pull/4551)
 - Fix bug where setting `visible=False` in `gr.Group` event did not work by [@abidlabs](https://github.com/abidlabs) in [PR 4567](https://github.com/gradio-app/gradio/pull/4567)
+- Fix `make_waveform` to work with paths that contain spaces [@akx](https://github.com/akx) in [PR 4567](https://github.com/gradio-app/gradio/pull/4570)
 - Send captured data in `stop_recording` event for `gr.Audio` and `gr.Video` components by [@freddyaboulton](https://github.com/freddyaboulton) in [PR 4554](https://github.com/gradio-app/gradio/pull/4554)
 
 ## Other Changes:

gradio/helpers.py

@@ -7,6 +7,7 @@
 import csv
 import inspect
 import os
+import shutil
 import subprocess
 import tempfile
 import threading
@@ -722,7 +723,7 @@ def make_waveform(
     bars_color: str | tuple[str, str] = ("#fbbf24", "#ea580c"),
     bar_count: int = 50,
     bar_width: float = 0.6,
-):
+) -> str:
     """
     Generates a waveform video from an audio file. Useful for creating an easy to share audio visualization. The output should be passed into a `gr.Video` component.
     Parameters:
@@ -734,7 +735,7 @@ def make_waveform(
         bar_count: Number of bars in waveform
         bar_width: Width of bars in waveform. 1 represents full width, 0.5 represents half width, etc.
     Returns:
-        A filepath to the output video.
+        A filepath to the output video in mp4 format.
     """
     if isinstance(audio, str):
         audio_file = audio
@@ -743,6 +744,14 @@ def make_waveform(
         tmp_wav = tempfile.NamedTemporaryFile(suffix=".wav", delete=False)
         processing_utils.audio_to_file(audio[0], audio[1], tmp_wav.name, format="wav")
         audio_file = tmp_wav.name
+
+    if not os.path.isfile(audio_file):
+        raise ValueError("Audio file not found.")
+
+    ffmpeg = shutil.which("ffmpeg")
+    if not ffmpeg:
+        raise RuntimeError("ffmpeg not found.")
+
     duration = round(len(audio[1]) / audio[0], 4)
 
     # Helper methods to create waveform
@@ -828,9 +837,23 @@ def get_color_gradient(c1, c2, n):
     # Convert waveform to video with ffmpeg
     output_mp4 = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False)
 
-    ffmpeg_cmd = f"""ffmpeg -loop 1 -i {tmp_img.name} -i {audio_file} -vf "color=c=#FFFFFF77:s={img_width}x{img_height}[bar];[0][bar]overlay=-w+(w/{duration})*t:H-h:shortest=1" -t {duration} -y {output_mp4.name}"""
-
-    subprocess.call(ffmpeg_cmd, shell=True)
+    ffmpeg_cmd = [
+        ffmpeg,
+        "-loop",
+        "1",
+        "-i",
+        tmp_img.name,
+        "-i",
+        audio_file,
+        "-vf",
+        f"color=c=#FFFFFF77:s={img_width}x{img_height}[bar];[0][bar]overlay=-w+(w/{duration})*t:H-h:shortest=1",
+        "-t",
+        str(duration),
+        "-y",
+        output_mp4.name,
+    ]
+
+    subprocess.call(ffmpeg_cmd)
     return output_mp4.name
 
 

test/test_examples.py → test/test_helpers.py

@@ -1,4 +1,5 @@
 import os
+import shutil
 import tempfile
 from pathlib import Path
 from unittest.mock import patch
@@ -397,3 +398,11 @@ async def test_examples_keep_all_suffixes(tmp_path):
         prediction = await io.examples_handler.load_from_cache(1)
         assert Path(prediction[0]["name"]).read_text() == "file 2"
         assert prediction[0]["orig_name"] == "foo.bar.txt"
+
+
+def test_make_waveform_with_spaces_in_filename():
+    with tempfile.TemporaryDirectory() as tmpdirname:
+        audio = os.path.join(tmpdirname, "test audio.wav")
+        shutil.copy("test/test_files/audio_sample.wav", audio)
+        waveform = gr.make_waveform(audio)
+        assert waveform.endswith(".mp4")