import gradio as gr
from modules.model_Inference import WhisperInference
import os
from ui.htmls import CSS,MARKDOWN
from modules.youtube_manager import get_ytmetas

def open_output_folder():
    folder_path = "outputs"
    if os.path.exists(folder_path):
        os.system(f"start {folder_path}")
    else:
        print(f"The folder {folder_path} does not exist.")

def on_change_models(model_size):
    translatable_model = ["large","large-v1","large-v2"]
    if model_size not in translatable_model:
        return gr.Checkbox.update(visible=False,value=False,interactive=False)
    else:
        return gr.Checkbox.update(visible=True,value=False,label="Translate to English?",interactive=True) 

whisper_inf = WhisperInference()
block = gr.Blocks(css=CSS).queue(api_open=False)

with block:
    with gr.Row():
        with gr.Column():
            gr.Markdown(MARKDOWN,elem_id="md_project")
    with gr.Tabs():
        with gr.TabItem("File"): # tab1    
            with gr.Row():
                input_file = gr.Files(type="file", label="Upload File here")
            with gr.Row():
                dd_model = gr.Dropdown(choices=whisper_inf.available_models,value="large-v2",label="Model")
                dd_lang = gr.Dropdown(choices=["Automatic Detection"]+whisper_inf.available_langs,value="Automatic Detection",label="Language")
                dd_subformat = gr.Dropdown(["SRT","WebVTT"],value="SRT",label="Subtitle Format")
            with gr.Row():
                cb_translate = gr.Checkbox(value=False,label="Translate to English?",interactive=True) 
            with gr.Row():
                btn_run = gr.Button("GENERATE SUBTITLE FILE",variant="primary")
            with gr.Row():
                tb_indicator = gr.Textbox(label="Output")
                btn_openfolder = gr.Button('📂').style(full_width=False)

            btn_run.click(fn=whisper_inf.transcribe_file,inputs=[input_file,dd_model,dd_lang,dd_subformat,cb_translate],outputs=[tb_indicator])    
            btn_openfolder.click(fn=open_output_folder,inputs=[],outputs=[])
            dd_model.change(fn=on_change_models,inputs=[dd_model],outputs=[cb_translate])
        
        with gr.TabItem("Youtube"): # tab2
            with gr.Row():
                tb_youtubelink = gr.Textbox(label="Youtube Link" ) 
            with gr.Row().style(equal_height=True):
                with gr.Column():
                    img_thumbnail = gr.Image(label="Youtube Thumbnail")
                with gr.Column():
                    tb_title = gr.Label(label="Youtube Title")
                    tb_description = gr.Textbox(label="Youtube Description",max_lines=15)
            with gr.Row():
                dd_model = gr.Dropdown(choices=whisper_inf.available_models,value="large-v2",label="Model")
                dd_lang = gr.Dropdown(choices=["Automatic Detection"]+whisper_inf.available_langs,value="Automatic Detection",label="Language")
                dd_subformat = gr.Dropdown(choices=["SRT","WebVTT"],value="SRT",label="Subtitle Format")
            with gr.Row():
                cb_translate = gr.Checkbox(value=False,label="Translate to English?",interactive=True) 
            with gr.Row():
                btn_run = gr.Button("GENERATE SUBTITLE FILE",variant="primary")
            with gr.Row():
                tb_indicator = gr.Textbox(label="Output")
                btn_openfolder = gr.Button('📂').style(full_width=False)

            btn_run.click(fn=whisper_inf.transcribe_youtube,inputs=[tb_youtubelink,dd_model,dd_lang,dd_subformat,cb_translate],outputs=[tb_indicator])    
            tb_youtubelink.change(get_ytmetas,inputs=[tb_youtubelink],outputs=[img_thumbnail,tb_title,tb_description])
            btn_openfolder.click(fn=open_output_folder,inputs=[],outputs=[])
            dd_model.change(fn=on_change_models,inputs=[dd_model],outputs=[cb_translate])

        with gr.TabItem("Mic"): # tab3
            with gr.Row():
                mic_input = gr.Microphone(label="Record with Mic",type="filepath",interactive=True)
            with gr.Row():
                dd_model = gr.Dropdown(choices=whisper_inf.available_models,value="large-v2",label="Model")
                dd_lang = gr.Dropdown(choices=["Automatic Detection"]+whisper_inf.available_langs,value="Automatic Detection",label="Language")
                dd_subformat = gr.Dropdown(["SRT","WebVTT"],value="SRT",label="Subtitle Format")
            with gr.Row():
                cb_translate = gr.Checkbox(value=False,label="Translate to English?",interactive=True) 
            with gr.Row():
                btn_run = gr.Button("GENERATE SUBTITLE FILE",variant="primary")
            with gr.Row():
                tb_indicator = gr.Textbox(label="Output")
                btn_openfolder = gr.Button('📂').style(full_width=False)

            btn_run.click(fn=whisper_inf.transcribe_mic,inputs=[mic_input,dd_model,dd_lang,dd_subformat,cb_translate],outputs=[tb_indicator])    
            btn_openfolder.click(fn=open_output_folder,inputs=[],outputs=[]) 
            dd_model.change(fn=on_change_models,inputs=[dd_model],outputs=[cb_translate])   
    
block.launch()