Jarod/tortoise-tts
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Added the remaining input settings

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This commit is contained in:
mrq 2023-02-10 16:47:57 +00:00
parent 7baf9e3f79
commit a09eff5d9c
1 changed files with 60 additions and 14 deletions
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74
webui.py
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@ -24,7 +24,29 @@ args = None
webui = None
tts = None
def generate(text, delimiter, emotion, prompt, voice, mic_audio, seed, candidates, num_autoregressive_samples, diffusion_iterations, temperature, diffusion_sampler, breathing_room, cvvp_weight, experimentals, progress=gr.Progress(track_tqdm=True)):
def generate(
text,
delimiter,
emotion,
prompt,
voice,
mic_audio,
seed,
candidates,
num_autoregressive_samples,
diffusion_iterations,
temperature,
diffusion_sampler,
breathing_room,
cvvp_weight,
top_p,
diffusion_temperature,
length_penalty,
repetition_penalty,
cond_free_k,
experimental_checkboxes,
progress=gr.Progress(track_tqdm=True)
):
try:
tts
except NameError:
@ -67,9 +89,13 @@ def generate(text, delimiter, emotion, prompt, voice, mic_audio, seed, candidate
settings = {
'temperature': temperature, 'length_penalty': 1.0, 'repetition_penalty': 2.0,
'top_p': .8,
'cond_free_k': 2.0, 'diffusion_temperature': 1.0,
'temperature': float(temperature),
'top_p': float(top_p),
'diffusion_temperature': float(diffusion_temperature),
'length_penalty': float(length_penalty),
'repetition_penalty': float(repetition_penalty),
'cond_free_k': float(cond_free_k),
'num_autoregressive_samples': num_autoregressive_samples,
'sample_batch_size': args.sample_batch_size,
@ -83,8 +109,8 @@ def generate(text, delimiter, emotion, prompt, voice, mic_audio, seed, candidate
'diffusion_sampler': diffusion_sampler,
'breathing_room': breathing_room,
'progress': progress,
'half_p': "Half Precision" in experimentals,
'cond_free': "Conditioning-Free" in experimentals,
'half_p': "Half Precision" in experimental_checkboxes,
'cond_free': "Conditioning-Free" in experimental_checkboxes,
'cvvp_amount': cvvp_weight,
}
@ -196,7 +222,12 @@ def generate(text, delimiter, emotion, prompt, voice, mic_audio, seed, candidate
'diffusion_sampler': diffusion_sampler,
'breathing_room': breathing_room,
'cvvp_weight': cvvp_weight,
'experimentals': experimentals,
'top_p': top_p,
'diffusion_temperature': diffusion_temperature,
'length_penalty': length_penalty,
'repetition_penalty': repetition_penalty,
'cond_free_k': cond_free_k,
'experimentals': experimental_checkboxes,
'time': time.time()-start_time,
}
@ -294,10 +325,15 @@ def import_generate_settings(file="./config/generate.json"):
None if 'candidates' not in settings else settings['candidates'],
None if 'num_autoregressive_samples' not in settings else settings['num_autoregressive_samples'],
None if 'diffusion_iterations' not in settings else settings['diffusion_iterations'],
None if 'temperature' not in settings else settings['temperature'],
None if 'diffusion_sampler' not in settings else settings['diffusion_sampler'],
None if 'breathing_room' not in settings else settings['breathing_room'],
None if 'cvvp_weight' not in settings else settings['cvvp_weight'],
0.8 if 'temperature' not in settings else settings['temperature'],
"DDIM" if 'diffusion_sampler' not in settings else settings['diffusion_sampler'],
8.0 if 'breathing_room' not in settings else settings['breathing_room'],
0.0 if 'cvvp_weight' not in settings else settings['cvvp_weight'],
0.8 if 'top_p' not in settings else settings['top_p'],
1.0 if 'diffusion_temperature' not in settings else settings['diffusion_temperature'],
1.0 if 'length_penalty' not in settings else settings['length_penalty'],
2.0 if 'repetition_penalty' not in settings else settings['repetition_penalty'],
2.0 if 'cond_free_k' not in settings else settings['cond_free_k'],
None if 'experimentals' not in settings else settings['experimentals'],
)
@ -568,6 +604,7 @@ def setup_gradio():
gr.Checkbox(label="Slimmer Computed Latents", value=args.latents_lean_and_mean),
]
gr.Button(value="Check for Updates").click(check_for_updates)
gr.Button(value="Reload TTS").click(reload_tts)
with gr.Column():
exec_inputs = exec_inputs + [
gr.Number(label="Voice Latents Max Chunk Size", precision=0, value=args.cond_latent_max_chunk_size),
@ -583,10 +620,14 @@ def setup_gradio():
inputs=exec_inputs
)
with gr.Column():
experimentals = gr.CheckboxGroup(["Half Precision", "Conditioning-Free"], value=["Conditioning-Free"], label="Experimental Flags")
experimental_checkboxes = gr.CheckboxGroup(["Half Precision", "Conditioning-Free"], value=["Conditioning-Free"], label="Experimental Flags")
cvvp_weight = gr.Slider(value=0, minimum=0, maximum=1, label="CVVP Weight")
top_p = gr.Slider(value=0.8, minimum=0, maximum=2, label="Top P")
diffusion_temperature = gr.Slider(value=1.0, minimum=0, maximum=2, label="Diffusion Temperature")
length_penalty = gr.Slider(value=1.0, minimum=0, maximum=8, label="Length Penalty")
repetition_penalty = gr.Slider(value=2.0, minimum=0, maximum=8, label="Repetition Penalty")
cond_free_k = gr.Slider(value=2.0, minimum=0, maximum=8, label="Conditioning-Free K")
gr.Button(value="Reload TTS").click(reload_tts)
input_settings = [
text,
@ -603,7 +644,12 @@ def setup_gradio():
diffusion_sampler,
breathing_room,
cvvp_weight,
experimentals,
top_p,
diffusion_temperature,
length_penalty,
repetition_penalty,
cond_free_k,
experimental_checkboxes,
]
submit_event = submit.click(generate,