import gradio as gr
import librosa
from asr import transcribe, ASR_EXAMPLES, ASR_LANGUAGES, ASR_NOTE
from tts import synthesize, TTS_EXAMPLES, TTS_LANGUAGES
from lid import identify, LID_EXAMPLES



mms_transcribe = gr.Interface(
    fn=transcribe,
    inputs=[
        gr.Audio(),
        gr.Dropdown(
            [f"{k} ({v})" for k, v in ASR_LANGUAGES.items()],
            label="Language",
            value="eng English",
        ),
        # gr.Checkbox(label="Use Language Model (if available)", default=True),
    ],
    outputs="text",
    examples=ASR_EXAMPLES,
    title="Speech-to-text",
    description=(
        "Transcribe audio from a microphone or input file in your desired language."
    ),
    article=ASR_NOTE,
    allow_flagging="never",
)

mms_synthesize = gr.Interface(
    fn=synthesize,
    inputs=[
        gr.Text(label="Input text"),
        gr.Dropdown(
            [f"{k} ({v})" for k, v in TTS_LANGUAGES.items()],
            label="Language",
            value="eng English",
        ),
        gr.Slider(minimum=0.1, maximum=4.0, value=1.0, step=0.1, label="Speed"),
    ],
    outputs=[
        gr.Audio(label="Generated Audio", type="numpy"),
        gr.Text(label="Filtered text after removing OOVs"),
    ],
    examples=TTS_EXAMPLES,
    title="Text-to-speech",
    description=("Generate audio in your desired language from input text."),
    allow_flagging="never",
)

mms_identify = gr.Interface(
    fn=identify,
    inputs=[
        gr.Audio(),
    ],
    outputs=gr.Label(num_top_classes=10),
    examples=LID_EXAMPLES,
    title="Language Identification",
    description=("Identity the language of input audio."),
    allow_flagging="never",
)

tabbed_interface = gr.TabbedInterface(
    [mms_transcribe, mms_synthesize, mms_identify],
    ["Speech-to-text", "Text-to-speech", "Language Identification"],
)

with gr.Blocks(css=css, theme=theme) as demo:
    theme="Nymbo/Nymbo_Theme"
    gr.Markdown(
        "<p align='center' style='font-size: 20px;'>MMS</p>"
    )
    gr.HTML(
        """<center>Text-to-Speech, Speech-to-Text, and Language Recognition for 1,100+ languages.</center>"""
    )

    tabbed_interface.render()

if __name__ == "__main__":
    demo.queue()
    demo.launch()