Spaces:
Running
Running
mrfakename
commited on
Commit
•
4fd0fc1
1
Parent(s):
faf2525
Sync from GitHub repo
Browse filesThis Space is synced from the GitHub repo: https://github.com/SWivid/F5-TTS. Please submit contributions to the Space there
app.py
CHANGED
@@ -141,32 +141,6 @@ def generate_podcast(
|
|
141 |
|
142 |
return podcast_path
|
143 |
|
144 |
-
|
145 |
-
def parse_speechtypes_text(gen_text):
|
146 |
-
# Pattern to find (Emotion)
|
147 |
-
pattern = r"\((.*?)\)"
|
148 |
-
|
149 |
-
# Split the text by the pattern
|
150 |
-
tokens = re.split(pattern, gen_text)
|
151 |
-
|
152 |
-
segments = []
|
153 |
-
|
154 |
-
current_emotion = "Regular"
|
155 |
-
|
156 |
-
for i in range(len(tokens)):
|
157 |
-
if i % 2 == 0:
|
158 |
-
# This is text
|
159 |
-
text = tokens[i].strip()
|
160 |
-
if text:
|
161 |
-
segments.append({"emotion": current_emotion, "text": text})
|
162 |
-
else:
|
163 |
-
# This is emotion
|
164 |
-
emotion = tokens[i].strip()
|
165 |
-
current_emotion = emotion
|
166 |
-
|
167 |
-
return segments
|
168 |
-
|
169 |
-
|
170 |
with gr.Blocks() as app_credits:
|
171 |
gr.Markdown("""
|
172 |
# Credits
|
@@ -273,10 +247,9 @@ with gr.Blocks() as app_podcast:
|
|
273 |
outputs=podcast_output,
|
274 |
)
|
275 |
|
276 |
-
|
277 |
-
def parse_emotional_text(gen_text):
|
278 |
# Pattern to find (Emotion)
|
279 |
-
pattern = r"\(
|
280 |
|
281 |
# Split the text by the pattern
|
282 |
tokens = re.split(pattern, gen_text)
|
@@ -298,7 +271,6 @@ def parse_emotional_text(gen_text):
|
|
298 |
|
299 |
return segments
|
300 |
|
301 |
-
|
302 |
with gr.Blocks() as app_emotional:
|
303 |
# New section for emotional generation
|
304 |
gr.Markdown(
|
@@ -309,7 +281,7 @@ with gr.Blocks() as app_emotional:
|
|
309 |
|
310 |
**Example Input:**
|
311 |
|
312 |
-
|
313 |
"""
|
314 |
)
|
315 |
|
@@ -325,17 +297,19 @@ with gr.Blocks() as app_emotional:
|
|
325 |
|
326 |
# Additional speech types (up to 99 more)
|
327 |
max_speech_types = 100
|
|
|
328 |
speech_type_names = []
|
329 |
speech_type_audios = []
|
330 |
speech_type_ref_texts = []
|
331 |
speech_type_delete_btns = []
|
332 |
|
333 |
for i in range(max_speech_types - 1):
|
334 |
-
with gr.Row():
|
335 |
-
name_input = gr.Textbox(label="Speech Type Name"
|
336 |
-
audio_input = gr.Audio(label="Reference Audio", type="filepath"
|
337 |
-
ref_text_input = gr.Textbox(label="Reference Text", lines=2
|
338 |
-
delete_btn = gr.Button("Delete", variant="secondary"
|
|
|
339 |
speech_type_names.append(name_input)
|
340 |
speech_type_audios.append(audio_input)
|
341 |
speech_type_ref_texts.append(ref_text_input)
|
@@ -347,82 +321,53 @@ with gr.Blocks() as app_emotional:
|
|
347 |
# Keep track of current number of speech types
|
348 |
speech_type_count = gr.State(value=0)
|
349 |
|
|
|
350 |
# Function to add a speech type
|
351 |
def add_speech_type_fn(speech_type_count):
|
352 |
if speech_type_count < max_speech_types - 1:
|
353 |
speech_type_count += 1
|
354 |
-
# Prepare updates for the
|
355 |
-
|
356 |
-
audio_updates = []
|
357 |
-
ref_text_updates = []
|
358 |
-
delete_btn_updates = []
|
359 |
for i in range(max_speech_types - 1):
|
360 |
if i < speech_type_count:
|
361 |
-
|
362 |
-
audio_updates.append(gr.update(visible=True))
|
363 |
-
ref_text_updates.append(gr.update(visible=True))
|
364 |
-
delete_btn_updates.append(gr.update(visible=True))
|
365 |
else:
|
366 |
-
|
367 |
-
audio_updates.append(gr.update())
|
368 |
-
ref_text_updates.append(gr.update())
|
369 |
-
delete_btn_updates.append(gr.update())
|
370 |
else:
|
371 |
# Optionally, show a warning
|
372 |
-
|
373 |
-
|
374 |
-
audio_updates = [gr.update() for _ in range(max_speech_types - 1)]
|
375 |
-
ref_text_updates = [gr.update() for _ in range(max_speech_types - 1)]
|
376 |
-
delete_btn_updates = [gr.update() for _ in range(max_speech_types - 1)]
|
377 |
-
return [speech_type_count] + name_updates + audio_updates + ref_text_updates + delete_btn_updates
|
378 |
|
379 |
add_speech_type_btn.click(
|
380 |
add_speech_type_fn,
|
381 |
inputs=speech_type_count,
|
382 |
-
outputs=[speech_type_count]
|
383 |
-
+ speech_type_names
|
384 |
-
+ speech_type_audios
|
385 |
-
+ speech_type_ref_texts
|
386 |
-
+ speech_type_delete_btns,
|
387 |
)
|
388 |
|
389 |
# Function to delete a speech type
|
390 |
def make_delete_speech_type_fn(index):
|
391 |
def delete_speech_type_fn(speech_type_count):
|
392 |
# Prepare updates
|
393 |
-
|
394 |
-
audio_updates = []
|
395 |
-
ref_text_updates = []
|
396 |
-
delete_btn_updates = []
|
397 |
-
|
398 |
for i in range(max_speech_types - 1):
|
399 |
if i == index:
|
400 |
-
|
401 |
-
audio_updates.append(gr.update(visible=False, value=None))
|
402 |
-
ref_text_updates.append(gr.update(visible=False, value=""))
|
403 |
-
delete_btn_updates.append(gr.update(visible=False))
|
404 |
else:
|
405 |
-
|
406 |
-
audio_updates.append(gr.update())
|
407 |
-
ref_text_updates.append(gr.update())
|
408 |
-
delete_btn_updates.append(gr.update())
|
409 |
|
410 |
speech_type_count = max(0, speech_type_count - 1)
|
411 |
|
412 |
-
return [speech_type_count] +
|
413 |
|
414 |
return delete_speech_type_fn
|
415 |
|
|
|
416 |
for i, delete_btn in enumerate(speech_type_delete_btns):
|
417 |
delete_fn = make_delete_speech_type_fn(i)
|
418 |
delete_btn.click(
|
419 |
delete_fn,
|
420 |
inputs=speech_type_count,
|
421 |
-
outputs=[speech_type_count]
|
422 |
-
+ speech_type_names
|
423 |
-
+ speech_type_audios
|
424 |
-
+ speech_type_ref_texts
|
425 |
-
+ speech_type_delete_btns,
|
426 |
)
|
427 |
|
428 |
# Text input for the prompt
|
@@ -434,7 +379,7 @@ with gr.Blocks() as app_emotional:
|
|
434 |
with gr.Accordion("Advanced Settings", open=False):
|
435 |
remove_silence_emotional = gr.Checkbox(
|
436 |
label="Remove Silences",
|
437 |
-
value=
|
438 |
)
|
439 |
|
440 |
# Generate button
|
@@ -506,11 +451,7 @@ with gr.Blocks() as app_emotional:
|
|
506 |
regular_audio,
|
507 |
regular_ref_text,
|
508 |
gen_text_input_emotional,
|
509 |
-
]
|
510 |
-
+ speech_type_names
|
511 |
-
+ speech_type_audios
|
512 |
-
+ speech_type_ref_texts
|
513 |
-
+ [
|
514 |
model_choice_emotional,
|
515 |
remove_silence_emotional,
|
516 |
],
|
@@ -531,7 +472,7 @@ with gr.Blocks() as app_emotional:
|
|
531 |
speech_types_available.add(name_input)
|
532 |
|
533 |
# Parse the gen_text to get the speech types used
|
534 |
-
segments =
|
535 |
speech_types_in_text = set(segment["emotion"] for segment in segments)
|
536 |
|
537 |
# Check if all speech types in text are available
|
@@ -549,6 +490,7 @@ with gr.Blocks() as app_emotional:
|
|
549 |
inputs=[gen_text_input_emotional, regular_name] + speech_type_names,
|
550 |
outputs=generate_emotional_btn,
|
551 |
)
|
|
|
552 |
with gr.Blocks() as app:
|
553 |
gr.Markdown(
|
554 |
"""
|
|
|
141 |
|
142 |
return podcast_path
|
143 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
144 |
with gr.Blocks() as app_credits:
|
145 |
gr.Markdown("""
|
146 |
# Credits
|
|
|
247 |
outputs=podcast_output,
|
248 |
)
|
249 |
|
250 |
+
def parse_speechtypes_text(gen_text):
|
|
|
251 |
# Pattern to find (Emotion)
|
252 |
+
pattern = r"\{(.*?)\}"
|
253 |
|
254 |
# Split the text by the pattern
|
255 |
tokens = re.split(pattern, gen_text)
|
|
|
271 |
|
272 |
return segments
|
273 |
|
|
|
274 |
with gr.Blocks() as app_emotional:
|
275 |
# New section for emotional generation
|
276 |
gr.Markdown(
|
|
|
281 |
|
282 |
**Example Input:**
|
283 |
|
284 |
+
{Regular} Hello, I'd like to order a sandwich please. {Surprised} What do you mean you're out of bread? {Sad} I really wanted a sandwich though... {Angry} You know what, darn you and your little shop, you suck! {Whisper} I'll just go back home and cry now. {Shouting} Why me?!
|
285 |
"""
|
286 |
)
|
287 |
|
|
|
297 |
|
298 |
# Additional speech types (up to 99 more)
|
299 |
max_speech_types = 100
|
300 |
+
speech_type_rows = []
|
301 |
speech_type_names = []
|
302 |
speech_type_audios = []
|
303 |
speech_type_ref_texts = []
|
304 |
speech_type_delete_btns = []
|
305 |
|
306 |
for i in range(max_speech_types - 1):
|
307 |
+
with gr.Row(visible=False) as row:
|
308 |
+
name_input = gr.Textbox(label="Speech Type Name")
|
309 |
+
audio_input = gr.Audio(label="Reference Audio", type="filepath")
|
310 |
+
ref_text_input = gr.Textbox(label="Reference Text", lines=2)
|
311 |
+
delete_btn = gr.Button("Delete", variant="secondary")
|
312 |
+
speech_type_rows.append(row)
|
313 |
speech_type_names.append(name_input)
|
314 |
speech_type_audios.append(audio_input)
|
315 |
speech_type_ref_texts.append(ref_text_input)
|
|
|
321 |
# Keep track of current number of speech types
|
322 |
speech_type_count = gr.State(value=0)
|
323 |
|
324 |
+
# Function to add a speech type
|
325 |
# Function to add a speech type
|
326 |
def add_speech_type_fn(speech_type_count):
|
327 |
if speech_type_count < max_speech_types - 1:
|
328 |
speech_type_count += 1
|
329 |
+
# Prepare updates for the rows
|
330 |
+
row_updates = []
|
|
|
|
|
|
|
331 |
for i in range(max_speech_types - 1):
|
332 |
if i < speech_type_count:
|
333 |
+
row_updates.append(gr.update(visible=True))
|
|
|
|
|
|
|
334 |
else:
|
335 |
+
row_updates.append(gr.update())
|
|
|
|
|
|
|
336 |
else:
|
337 |
# Optionally, show a warning
|
338 |
+
row_updates = [gr.update() for _ in range(max_speech_types - 1)]
|
339 |
+
return [speech_type_count] + row_updates
|
|
|
|
|
|
|
|
|
340 |
|
341 |
add_speech_type_btn.click(
|
342 |
add_speech_type_fn,
|
343 |
inputs=speech_type_count,
|
344 |
+
outputs=[speech_type_count] + speech_type_rows
|
|
|
|
|
|
|
|
|
345 |
)
|
346 |
|
347 |
# Function to delete a speech type
|
348 |
def make_delete_speech_type_fn(index):
|
349 |
def delete_speech_type_fn(speech_type_count):
|
350 |
# Prepare updates
|
351 |
+
row_updates = []
|
|
|
|
|
|
|
|
|
352 |
for i in range(max_speech_types - 1):
|
353 |
if i == index:
|
354 |
+
row_updates.append(gr.update(visible=False))
|
|
|
|
|
|
|
355 |
else:
|
356 |
+
row_updates.append(gr.update())
|
|
|
|
|
|
|
357 |
|
358 |
speech_type_count = max(0, speech_type_count - 1)
|
359 |
|
360 |
+
return [speech_type_count] + row_updates
|
361 |
|
362 |
return delete_speech_type_fn
|
363 |
|
364 |
+
# Update delete button clicks
|
365 |
for i, delete_btn in enumerate(speech_type_delete_btns):
|
366 |
delete_fn = make_delete_speech_type_fn(i)
|
367 |
delete_btn.click(
|
368 |
delete_fn,
|
369 |
inputs=speech_type_count,
|
370 |
+
outputs=[speech_type_count] + speech_type_rows
|
|
|
|
|
|
|
|
|
371 |
)
|
372 |
|
373 |
# Text input for the prompt
|
|
|
379 |
with gr.Accordion("Advanced Settings", open=False):
|
380 |
remove_silence_emotional = gr.Checkbox(
|
381 |
label="Remove Silences",
|
382 |
+
value=False,
|
383 |
)
|
384 |
|
385 |
# Generate button
|
|
|
451 |
regular_audio,
|
452 |
regular_ref_text,
|
453 |
gen_text_input_emotional,
|
454 |
+
] + speech_type_names + speech_type_audios + speech_type_ref_texts + [
|
|
|
|
|
|
|
|
|
455 |
model_choice_emotional,
|
456 |
remove_silence_emotional,
|
457 |
],
|
|
|
472 |
speech_types_available.add(name_input)
|
473 |
|
474 |
# Parse the gen_text to get the speech types used
|
475 |
+
segments = parse_speechtypes_text(gen_text)
|
476 |
speech_types_in_text = set(segment["emotion"] for segment in segments)
|
477 |
|
478 |
# Check if all speech types in text are available
|
|
|
490 |
inputs=[gen_text_input_emotional, regular_name] + speech_type_names,
|
491 |
outputs=generate_emotional_btn,
|
492 |
)
|
493 |
+
|
494 |
with gr.Blocks() as app:
|
495 |
gr.Markdown(
|
496 |
"""
|