import os import gradio as gr from docs.instruction import instruction from utils.ui import get_status_color def get_instructions_ui(llm, tts, stt, default_audio_params): with gr.Tab("Instruction", render=False) as instruction_tab: if os.getenv("IS_DEMO"): gr.Markdown(instruction["demo"]) with gr.Row(): with gr.Column(scale=2): gr.Markdown(instruction["introduction"]) with gr.Column(scale=1): space = " " * 10 tts_status = get_status_color(tts) gr.Markdown(f"TTS status: {tts_status}{space}{tts.config.tts.name}", elem_id="tts_status") stt_status = get_status_color(stt) gr.Markdown(f"STT status: {stt_status}{space}{stt.config.stt.name}", elem_id="stt_status") llm_status = get_status_color(llm) gr.Markdown(f"LLM status: {llm_status}{space}{llm.config.llm.name}", elem_id="llm_status") gr.Markdown(instruction["quick_start"]) with gr.Row(): with gr.Column(scale=2): gr.Markdown(instruction["interface"]) with gr.Column(scale=1): gr.Markdown("Bot interaction area will look like this. Use Record button to record your answer.") gr.Markdown("Click 'Send' to send you answer and get a reply.") chat_example = gr.Chatbot( label="Chat", show_label=False, show_share_button=False, value=[["Candidate message", "Interviewer message"]] ) send_btn_example = gr.Button("Send", interactive=False) audio_input_example = gr.Audio(interactive=True, **default_audio_params) gr.Markdown(instruction["models"]) gr.Markdown(instruction["acknowledgements"]) gr.Markdown(instruction["legal"]) return instruction_tab