Spaces:
Runtime error
Runtime error
Update app_share.py
Browse files- app_share.py +42 -7
app_share.py
CHANGED
@@ -217,7 +217,41 @@ def read_srt(uploaded_file):
|
|
217 |
subtitle_list.append(st)
|
218 |
return subtitle_list
|
219 |
|
|
|
220 |
from pydub import AudioSegment
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
221 |
|
222 |
def trim_audio(intervals, input_file_path, output_file_path):
|
223 |
# load the audio file
|
@@ -227,19 +261,20 @@ def trim_audio(intervals, input_file_path, output_file_path):
|
|
227 |
for i, (start_time, end_time) in enumerate(intervals):
|
228 |
# extract the segment of the audio
|
229 |
segment = audio[start_time*1000:end_time*1000]
|
230 |
-
output_file_path_i = f"{
|
231 |
|
232 |
-
if len(segment) <
|
233 |
-
# Calculate how many times to repeat the audio to make it at least
|
234 |
-
repeat_count = (
|
235 |
# Repeat the audio
|
236 |
longer_audio = segment * repeat_count
|
237 |
# Save the extended audio
|
238 |
-
print(f"Audio was less than
|
239 |
longer_audio.export(output_file_path_i, format='wav')
|
|
|
240 |
else:
|
241 |
-
print("Audio is already
|
242 |
-
segment.export(
|
243 |
|
244 |
import re
|
245 |
|
|
|
217 |
subtitle_list.append(st)
|
218 |
return subtitle_list
|
219 |
|
220 |
+
import webrtcvad
|
221 |
from pydub import AudioSegment
|
222 |
+
from pydub.utils import make_chunks
|
223 |
+
|
224 |
+
def vad(audio_name, out_path_name):
|
225 |
+
audio = AudioSegment.from_file(audio_name, format="wav")
|
226 |
+
# Set the desired sample rate (WebRTC VAD supports only 8000, 16000, 32000, or 48000 Hz)
|
227 |
+
audio = audio.set_frame_rate(48000)
|
228 |
+
# Set single channel (mono)
|
229 |
+
audio = audio.set_channels(1)
|
230 |
+
|
231 |
+
# Initialize VAD
|
232 |
+
vad = webrtcvad.Vad()
|
233 |
+
# Set aggressiveness mode (an integer between 0 and 3, 3 is the most aggressive)
|
234 |
+
vad.set_mode(3)
|
235 |
+
|
236 |
+
# Convert pydub audio to bytes
|
237 |
+
frame_duration = 30 # Duration of a frame in ms
|
238 |
+
frame_width = int(audio.frame_rate * frame_duration / 1000) # width of a frame in samples
|
239 |
+
frames = make_chunks(audio, frame_duration)
|
240 |
+
|
241 |
+
# Perform voice activity detection
|
242 |
+
voiced_frames = []
|
243 |
+
for frame in frames:
|
244 |
+
if len(frame.raw_data) < frame_width * 2: # Ensure frame is correct length
|
245 |
+
break
|
246 |
+
is_speech = vad.is_speech(frame.raw_data, audio.frame_rate)
|
247 |
+
if is_speech:
|
248 |
+
voiced_frames.append(frame)
|
249 |
+
|
250 |
+
# Combine voiced frames back to an audio segment
|
251 |
+
voiced_audio = sum(voiced_frames, AudioSegment.silent(duration=0))
|
252 |
+
|
253 |
+
voiced_audio.export(f"{out_path_name}.wav", format="wav")
|
254 |
+
|
255 |
|
256 |
def trim_audio(intervals, input_file_path, output_file_path):
|
257 |
# load the audio file
|
|
|
261 |
for i, (start_time, end_time) in enumerate(intervals):
|
262 |
# extract the segment of the audio
|
263 |
segment = audio[start_time*1000:end_time*1000]
|
264 |
+
output_file_path_i = f"increased_{i}.wav"
|
265 |
|
266 |
+
if len(segment) < 5000:
|
267 |
+
# Calculate how many times to repeat the audio to make it at least 5 seconds long
|
268 |
+
repeat_count = (5000 // len(segment)) + 3
|
269 |
# Repeat the audio
|
270 |
longer_audio = segment * repeat_count
|
271 |
# Save the extended audio
|
272 |
+
print(f"Audio was less than 5 seconds. Extended to {len(longer_audio)} milliseconds.")
|
273 |
longer_audio.export(output_file_path_i, format='wav')
|
274 |
+
vad(f"{output_file_path_i}", f"{output_file_path}_{i}")
|
275 |
else:
|
276 |
+
print("Audio is already 5 seconds or longer.")
|
277 |
+
segment.export(f"{output_file_path}_{i}.wav", format='wav')
|
278 |
|
279 |
import re
|
280 |
|