File size: 5,063 Bytes
9002ced |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 |
import gradio as gr
import os
from pathlib import Path
# Import services
try:
from app.main import TTSService, STTService
except ImportError:
from .main import TTSService, STTService
# Import config
try:
from config import TTS_MODELS, LANGUAGES, MODEL_MAPPING
except ImportError:
from ..config import TTS_MODELS, LANGUAGES, MODEL_MAPPING
class SpikStudioUI:
def __init__(self, tts_service=None, stt_service=None):
self.tts_service = tts_service or TTSService()
self.stt_service = stt_service or STTService()
self.theme = gr.themes.Ocean()
self.css = """
#tts-tab {padding: 2rem;}
#tts-input, #tts-voice, #tts-generate, #tts-audio {margin-bottom: 1rem;}
"""
def create_ui(self):
with gr.Blocks(theme=self.theme, css=self.css) as demo:
self._create_header()
self._create_tts_tab()
self._create_stt_tab()
return demo
def _create_header(self):
gr.HTML("""
<div style='text-align: center; margin-top: 40px;'>
<span style='font-size: 3em; font-family: serif; font-weight: 400;'>Spik Studio</span><br>
<span style='font-size: 2em; font-family: serif; color: #1784d6; font-weight: 600;'>Text-to-Speech & Speech-to-Text</span><br><br>
<span style='font-size: 1.2em; font-family: sans-serif;'>
Transform text to natural-sounding audio, or get instant transcripts from your recordings.<br>
</span>
</div>
<div style='max-width:420px;margin:0 auto;'></div>
""")
def _create_tts_tab(self):
with gr.Tab("Text to Speech"):
with gr.Row():
with gr.Column():
text = gr.Textbox(label="Script", placeholder="Enter your text here...", lines=4)
with gr.Row():
language = gr.Dropdown(
[lang[0] for lang in LANGUAGES],
value=LANGUAGES[0][0],
label="Language"
)
model = gr.Dropdown(
TTS_MODELS,
value=TTS_MODELS[0],
label="Model",
interactive=False
)
btn = gr.Button("Generate Speech")
with gr.Column():
audio = gr.Audio(label="Generated Audio")
meta = gr.Markdown()
btn.click(
self._run_tts,
inputs=[text, language, model],
outputs=[audio, meta]
)
def _create_stt_tab(self):
with gr.Tab("Speech to Text"):
with gr.Row():
with gr.Column():
audio_url_input = gr.Textbox(label="Enter Audio URL", placeholder="https://example.com/audio.wav")
or_label = gr.HTML("<span style='font-size: 1.2em; font-family: sans-serif;'>OR</span>")
audio_input = gr.Audio(type="filepath", label="Upload Audio")
with gr.Row():
stt_language = gr.Dropdown(
choices=[lang[0] for lang in LANGUAGES],
value=LANGUAGES[0][0],
label="Language"
)
stt_model = gr.Dropdown(
list(MODEL_MAPPING.keys()),
value=list(MODEL_MAPPING.keys())[0],
label="Model",
interactive=False
)
stt_btn = gr.Button("Transcribe")
with gr.Column():
transcript = gr.Textbox(label="Transcript", placeholder="Transcription will appear here...", lines=24)
stt_btn.click(
self._run_stt,
inputs=[audio_url_input, audio_input, stt_language, stt_model],
outputs=transcript
)
def _run_tts(self, text, language, model):
return self.tts_service.generate_speech(text, model)
def _run_stt(self, audio_url, audio_input, stt_language, stt_model):
# Map language name to code
lang_code = next((code for name, code in LANGUAGES if name == stt_language), "en")
# Get actual model value from mapping
api_model = MODEL_MAPPING.get(stt_model, "whisper")
return self.stt_service.transcribe(
audio_url=audio_url,
audio_path=audio_input,
language=lang_code,
model=api_model
)
def launch_ui(server_name="0.0.0.0", server_port=7860, share=False):
"""Launch the Gradio UI."""
app = SpikStudioUI()
demo = app.create_ui()
demo.launch(server_name=server_name, server_port=server_port, share=share)
if __name__ == "__main__":
launch_ui(debug=True)
|