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| # 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 | |
| with gr.Blocks(theme='bethecloud/storj_theme') as demo: | |
| gr.HTML('<img src="https://framerusercontent.com/images/cVca7XpB1kCi8H10JIe8TQPNVQ.png" alt="Podcaster" ' | |
| 'style="height: 60px; width:100px;"/>') | |
| gr.Markdown(""" | |
| <div style= "display:block; | |
| align-items: center; | |
| gap: 0.8rem;"> | |
| <h1 style='text-align: center;color:blue'>Podcast World</h1> | |
| <h2 style='text-align: center;color:darkslategrey'>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.Box(): | |
| # gr.Markdown( | |
| # """ | |
| # ### Search Podcasts and get their RSS feeds | |
| # """) | |
| # with gr.Column(): | |
| # # normal_chatbot = gr.Chatbot() | |
| # # normal_msg = gr.Textbox() | |
| # # normal_clear = gr.Button("Clear") | |
| # # normal_msg.submit(search_response, [normal_msg, normal_chatbot, dropdown], [normal_msg, normal_chatbot]) | |
| # # normal_clear.click(lambda: None, None, normal_chatbot_copilot, 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.Box(): | |
| gr.Markdown( | |
| """ | |
| ### Get details related to an RSS feed | |
| """) | |
| with gr.Column(): | |
| rss_feed = gr.Textbox(label="Enter Rss Feed 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() | |
| 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]) | |
| if __name__ == "__main__": | |
| demo.queue(concurrency_count=1, api_open=False) | |
| demo.launch(debug=True, share=False) | |