###########################
# UI for Meeting RAG Q&A. #
###########################

##################### Imports #####################
import gradio as gr
from utilities.setup import get_files
from server import EmbeddingService, QAService


#################### Functions ####################
def process_transcripts(files, context):
    print(files)
    print(context)
    #with EmbeddingService(conf) as e:
    #    e.run(files)
    # some way to wait or a progress bar?
    return context


def retrieve_answer(question):
    with QAService(conf) as q:
        q.run(question)
        answer = retriever.answer()
    return answer


##################### Process #####################
def main(conf):
    with gr.Blocks() as demo:
    
        # Main page
        with gr.TabItem(conf["layout"]["page_names"][0]):
            gr.Markdown(get_files.load_markdown_file(conf["layout"]["about"]))
    
    
        
        # User config page
        with gr.TabItem(conf["layout"]["page_names"][1]):
            gr.Markdown("# Upload Transcript and Necessary Context")
            gr.Markdown("Please wait as the transcript is being processed.")
            load_file = gr.UploadButton(label="Upload Transcript (.vtt)", 
                                                     file_types=[".vtt"])
            goals = gr.Textbox(label="Goals for the Meeting",
                                            value=conf["defaults"]["goals"]) # not incorporated yet. Will be with Q&A.
            repository = gr.Textbox(label="Blank", visible=True) # since there is no output.
            load_file.upload(process_transcripts, [load_file, goals], repository)
    
    
    
        # Meeting Question & Answer Page
        with gr.TabItem(conf["layout"]["page_names"][2]):
            question = gr.Textbox(label="Ask a Question",
                                  value=conf["defaults"]["question"])
            ask_button = gr.Button("Ask!")
            model_output = gr.components.Textbox(label="Answer")
            ask_button.click(fn=retrieve_answer,
                             inputs=question,
                             outputs=model_output)
    
    
    
        demo.launch()


##################### Execute #####################
if __name__ == "__main__":
    # Get config
    conf = get_files.json_cfg()
    main(conf)