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Runtime error
Runtime error
Update app.py
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app.py
CHANGED
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@@ -163,7 +163,7 @@ async def generate_audio_with_voice_prefix(text_segment, default_voice, rate, pi
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async def process_transcript_line(line, default_voice, rate, pitch):
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"""Processes a single transcript line with HH:MM:SS.milliseconds timestamp and quoted text segments."""
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match = re.match(r'(\d{2}):(\d{2}):(\d{2})
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if match:
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hours, minutes, seconds, milliseconds, text_parts = match.groups()
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start_time_ms = (
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@@ -201,8 +201,9 @@ async def transcript_to_speech(transcript_text, voice, rate, pitch):
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lines = transcript_text.strip().split('\n')
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timed_audio_segments = []
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max_end_time_ms = 0
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for line in lines:
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start_time, audio_paths = await process_transcript_line(line, voice, rate, pitch)
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if start_time is not None and audio_paths:
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combined_line_audio = AudioSegment.empty()
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@@ -215,8 +216,27 @@ async def transcript_to_speech(transcript_text, voice, rate, pitch):
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print(f"Warning: Audio file not found: {path}")
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if combined_line_audio:
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elif audio_paths:
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for path in audio_paths:
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try:
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@@ -244,12 +264,12 @@ async def create_demo():
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voices = await get_voices()
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default_voice = "en-US-AndrewMultilingualNeural - en-US (Male)"
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description = """
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Process timestamped text (HH:MM:SS
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Format: `HH:MM:SS
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Example:
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```
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00:00:00
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00:00:05
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```
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***************************************************************************************************
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1M = en-AU-WilliamNeural - en-AU (Male)
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@@ -271,16 +291,16 @@ async def create_demo():
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demo = gr.Interface(
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fn=tts_interface,
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inputs=[
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gr.Textbox(label="Timestamped Text with Voice Changes", lines=10, placeholder='00:00:00
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gr.Dropdown(choices=[""] + list(voices.keys()), label="Select Default Voice", value=default_voice),
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gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1),
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gr.Slider(minimum=-50, maximum=50, value=0, label="Pitch Adjustment (Hz)", step=1)
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],
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outputs=[
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gr.Audio(label="Generated Audio", type="filepath"),
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gr.Markdown(label="Warning", visible=False)
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],
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title="TTS with HH:MM:SS
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description=description,
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analytics_enabled=False,
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allow_flagging=False
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async def process_transcript_line(line, default_voice, rate, pitch):
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"""Processes a single transcript line with HH:MM:SS.milliseconds timestamp and quoted text segments."""
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match = re.match(r'(\d{2}):(\d{2}):(\d{2}),(\d{3})\s+(.*)', line) # Modified timestamp regex
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if match:
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hours, minutes, seconds, milliseconds, text_parts = match.groups()
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start_time_ms = (
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lines = transcript_text.strip().split('\n')
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timed_audio_segments = []
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max_end_time_ms = 0
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previous_end_time_ms = 0
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for i, line in enumerate(lines):
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start_time, audio_paths = await process_transcript_line(line, voice, rate, pitch)
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if start_time is not None and audio_paths:
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combined_line_audio = AudioSegment.empty()
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print(f"Warning: Audio file not found: {path}")
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if combined_line_audio:
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current_audio_duration = len(combined_line_audio)
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intended_start_time = start_time
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if i > 0:
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previous_line_match = re.match(r'(\d{2}):(\d{2}):(\d{2}),(\d{3})\s+.*', lines[i-1])
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if previous_line_match:
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prev_h, prev_m, prev_s, prev_ms, _ = previous_line_match.groups()
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previous_start_time_ms = (
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int(prev_h) * 3600000 +
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int(prev_m) * 60000 +
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int(prev_s) * 1000 +
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int(prev_ms)
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)
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time_difference = start_time - previous_start_time_ms
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if current_audio_duration > time_difference and timed_audio_segments:
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intended_start_time = previous_end_time_ms # Append to the previous audio
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timed_audio_segments.append({'start': intended_start_time, 'audio': combined_line_audio})
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previous_end_time_ms = intended_start_time + current_audio_duration
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max_end_time_ms = max(max_end_time_ms, previous_end_time_ms)
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elif audio_paths:
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for path in audio_paths:
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try:
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voices = await get_voices()
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default_voice = "en-US-AndrewMultilingualNeural - en-US (Male)"
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description = """
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Process timestamped text (HH:MM:SS,milliseconds) with voice changes within quotes.
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Format: `HH:MM:SS,milliseconds "VoicePrefix Text" more text "AnotherVoicePrefix More Text"`
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Example:
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```
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00:00:00,000 "This is the default voice." more default. "1F Now a female voice." and back to default.
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00:00:05,000 "1C Yes," said the child, "it is fun!"
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```
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***************************************************************************************************
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1M = en-AU-WilliamNeural - en-AU (Male)
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demo = gr.Interface(
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fn=tts_interface,
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inputs=[
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gr.Textbox(label="Timestamped Text with Voice Changes", lines=10, placeholder='00:00:00,000 "Text" more text "1F Different Voice"'),
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gr.Dropdown(choices=[""] + list(voices.keys()), label="Select Default Voice", value=default_voice),
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gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1),
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gr.Slider(minimum=-50, maximum=50, value=50, value=0, label="Pitch Adjustment (Hz)", step=1)
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],
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outputs=[
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gr.Audio(label="Generated Audio", type="filepath"),
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gr.Markdown(label="Warning", visible=False)
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],
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title="TTS with HH:MM:SS,milliseconds and In-Quote Voice Switching",
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description=description,
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analytics_enabled=False,
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allow_flagging=False
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