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()