# This is a sample Python script.

# Press ⌃R to execute it or replace it with your code.
# Press Double ⇧ to search everywhere for classes, files, tool windows, actions, and settings.
import gradio as gr
import time
import random
import math

import pandas as pd
import openai
import os
from display_json import get_podcast
from invoke_rss import get_rss_output, get_recommendations
from search_recommend import search_chat_respond



with gr.Blocks(theme='bethecloud/storj_theme', css=".gradio-container {background: url('file=image.png');background-size: cover}") as demo:
    gr.Markdown("""
  <div style= "display:block;
                  align-items: center;
                  gap: 0.8rem;">
   <h1 style='text-align: center; color:orange'> <img src="file/logo.png" alt="Podcaster" style="height: 80px; width:100px; flex: 0 0 auto; margin-right: 100px;"> PodcastPulse: Unveiling Insights </h1>
  <h2 style='text-align: center;color:yellow'>Can be used to search and get recommended about podcasts, process newsletter insights over podcasts etc.</h2>
  
  </div>
  """)
    with gr.Tabs():
        with gr.TabItem("Search Podcasts and get their RSS feeds"):
            with gr.Accordion("Open for Search"):
                with gr.Box():
                    gr.Markdown(
                        """
                        ### Search Podcasts and get their RSS feeds -- Currently Not Enabled as ListenNotes only offers limited free API calls/month 
                        """)
                    
                    with gr.Column():
                        normal_chatbot = gr.Chatbot()
                        normal_msg = gr.Textbox()
                        normal_clear = gr.Button("Clear")
                        normal_msg.submit(search_chat_respond, [normal_msg, normal_chatbot], [normal_msg, normal_chatbot])
                        normal_clear.click(lambda: None, None, normal_chatbot, queue=False)

        with gr.TabItem("PreProcessed Podcasts"):
            with gr.Box():
                gr.Markdown(
                    """
                    ### PreProcessed Podcasts
                    """)
                with gr.Column():
                    dropdown_few = gr.Dropdown(["In Machines We trust - MIT",
                                                "TWIML",
                                                ],
                                               label="Select Podcast")
                    btn = gr.Button("See")
                    with gr.Row().style(equal_height=True):
                        Title = gr.Textbox(label="Title")
                        Episode_Name = gr.Textbox(label="Episode Name")
                        Episode_Image = gr.Image(label="Episode Image")

                    podcast_summary = gr.Textbox(label="Summary")

                    with gr.Row().style(equal_height=True):
                        podcast_guest = gr.Textbox(label="podcast guest")
                        podcast_guest_org = gr.Textbox(label="Podcast Guest Organization")
                        podcast_guest_title = gr.Textbox(label="Guest Title")
                        podcast_guest_wikipedia = gr.Textbox(label="Guest Wikipedia Info")

                    podcast_highlights = gr.Textbox(label="Highlights")
                    podcast_key_moments = gr.Textbox(label="Key Moments and Key Topics")

                    with gr.Accordion("Open for Full Dialog Transcript"):
                        podcast_gpt_transcript = gr.Textbox()

                    btn.click(fn=get_podcast, inputs=dropdown_few, outputs=[Title,Episode_Name,Episode_Image,podcast_summary,  podcast_guest, podcast_guest_org, \
               podcast_guest_title, podcast_guest_wikipedia,podcast_highlights, podcast_key_moments, \
               podcast_gpt_transcript])


        with gr.TabItem("Process New Podcast using RSS feed"):
            with gr.Accordion("Open to process insights on a Podcast"):
                with gr.Box():
                    gr.Markdown(
                        """
                        ### Get details related to an RSS feed --Currently diabled due to OpenAI rate cost issues do ping me on slack if you wanna check something out
                        """)
                    with gr.Column():
                        #rss_feed = gr.Textbox(label="Enter Rss Feed here")
                        podcast_id_text = gr.Textbox(label="Enter Podcast ID here")
                        # btn_2 = gr.Button("See")
                        # with gr.Row().style(equal_height=True):
                        #     Title_2 = gr.Textbox(label="Title")
                        #     Episode_Name_2 = gr.Textbox(label="Episode Name")
                        #     Episode_Image_2 = gr.Image(label="Episode Image")
    
                        # podcast_summary_2 = gr.Textbox(label="Summary")
    
                        # with gr.Row().style(equal_height=True):
                        #     podcast_guest_2 = gr.Textbox(label="podcast guest")
                        #     podcast_guest_org_2 = gr.Textbox(label="Podcast Guest Organization")
                        #     podcast_guest_title_2 = gr.Textbox(label="Guest Title")
                        #     podcast_guest_wikipedia_2 = gr.Textbox(label="Guest Wikipedia Info")
    
                        # podcast_highlights_2 = gr.Textbox(label="Highlights")
                        # podcast_key_moments_2 = gr.Textbox(label="Key Moments and Key Topics")
    
                        # with gr.Accordion("Open for Full Dialog Transcript"):
                        #     podcast_gpt_transcript_2 = gr.Textbox()

                        recommend_chatbot = gr.Chatbot(label="See recommendations here")
                        btn_recommend = gr.Button("Get Recommendations")

                        # btn_2.click(fn=get_rss_output, inputs=rss_feed,
                        #           outputs=[Title_2, Episode_Name_2, Episode_Image_2, podcast_summary_2, podcast_guest_2,
                        #                    podcast_guest_org_2, \
                        #                    podcast_guest_title_2, podcast_guest_wikipedia_2, podcast_highlights_2,
                        #                    podcast_key_moments_2, \
                        #                    podcast_gpt_transcript_2])

                        btn_recommend.click(fn=get_recommendations, inputs=[podcast_id_text,recommend_chatbot], outputs= recommend_chatbot)








if __name__ == "__main__":


    demo.queue(concurrency_count=1, api_open=False)
    demo.launch(debug=True, share=False)