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 |
|