app.py

import gradio as gr
from gradio.inputs import File as InputFile
from gradio.outputs import File as OutputFile
import base64
import glob
import os
import random
import re
import string
from urllib.parse import urlparse

import openai
from icrawler import ImageDownloader
from icrawler.builtin import GoogleImageCrawler
from pptx import Presentation


global unique_image_name
global gptmodel
unique_image_name = None

unique_image_name = ''.join(random.choice(string.ascii_uppercase + string.ascii_lowercase + string.digits) for _ in
                                range(16))

def refresh_unique_image_name():
    global unique_image_name
    unique_image_name = ''.join(random.choice(string.ascii_uppercase + string.ascii_lowercase + string.digits)
                                for _ in range(16))
    return

class PrefixNameDownloader(ImageDownloader):

        # def get_filename(self, task, default_ext):
        #     filename = super(PrefixNameDownloader, self).get_filename(
        #         task, default_ext)
        #     refresh_unique_image_name()
        #     print(unique_image_name)
        #     return 'prefix_' + unique_image_name + filename

    def get_filename(self, task, default_ext):
        url_path = urlparse(task['file_url'])[2]
        if '.' in url_path:
            extension = url_path.split('.')[-1]
            if extension.lower() not in [
                'jpg', 'jpeg', 'png', 'bmp', 'tiff', 'gif', 'ppm', 'pgm'
            ]:
                extension = default_ext
        else:
            extension = default_ext
        print(unique_image_name)
        filename = base64.b64encode(url_path.encode()).decode()
        return "p_" + unique_image_name + '{}.{}'.format(filename, extension)

def generate_ppt(apikey, topic, slide_length, graph_presence, gptmodelname, templatepptx):

    gptmodel = gptmodelname

    root = Presentation(templatepptx.name)

    openai.api_key = apikey

    strGrpahics = "no"

    if graph_presence == "Few":
        strGrpahics = "few"
    if graph_presence == "Many":
        strGrpahics = "many"

    message = f"""Create an outline for a slideshow presentation on the topic of {topic} which is {slide_length}
    slides long. Make sure it is {slide_length} long.
    Create {strGrpahics} images.
    You are allowed to use the following slide types:
    Title Slide - (Title, Subtitle)
    Content Slide - (Title, Content)
    Image Slide - (Title, Content, Image)
    Thanks Slide - (Title)
    Put this tag before the Title Slide: [L_TS]
    Put this tag before the Content Slide: [L_CS]
    Put this tag before the Image Slide: [L_IS]
    Put this tag before the Thanks Slide: [L_THS]
        
    Put this tag before the Title: [TITLE]
    Put this tag after the Title: [/TITLE]
    Put this tag before the Subitle: [SUBTITLE]
    Put this tag after the Subtitle: [/SUBTITLE]
    Put this tag before the Content: [CONTENT]
    Put this tag after the Content: [/CONTENT]
    Put this tag before the Image: [IMAGE]
    Put this tag after the Image: [/IMAGE]
    Put "[SLIDEBREAK]" after each slide 
    For example:
    [L_TS]
    [TITLE]Among Us[/TITLE]
    [SLIDEBREAK]
    [L_CS] 
    [TITLE]What Is Among Us?[/TITLE]
    [CONTENT]
    1. Among Us is a popular online multiplayer game developed and published by InnerSloth.
    2. The game is set in a space-themed setting where players take on the roles of Crewmates and Impostors.
    3. The objective of Crewmates is to complete tasks and identify the Impostors among them, while the Impostors' goal is to sabotage the spaceship and eliminate the Crewmates without being caught.
    [/CONTENT]
    [SLIDEBREAK]
    Elaborate on the Content, provide as much information as possible.
    REMEMBER TO PLACE a [/CONTENT] at the end of the Content.
    Do not include any special characters (?, !, ., :, ) in the Title.
    Do not include any additional information in your response and stick to the format."""

    response = openai.ChatCompletion.create(
        model=gptmodel,
        messages=[
            {"role": "user", "content": message}
        ]
    )

        # """ Ref for slide types:
        # 0 -> title and subtitle
        # 1 -> title and content
        # 2 -> section header
        # 3 -> two content
        # 4 -> Comparison
        # 5 -> Title only
        # 6 -> Blank
        # 7 -> Content with caption
        # 8 -> Pic with caption
        # """

    def delete_all_slides():
        for i in range(len(root.slides) - 1, -1, -1):
            r_id = root.slides._sldIdLst[i].rId
            root.part.drop_rel(r_id)
            del root.slides._sldIdLst[i]

    def create_title_slide(title, subtitle):
        layout = root.slide_layouts[0]
        slide = root.slides.add_slide(layout)
        slide.shapes.title.text = title
        slide.placeholders[1].text = subtitle

    def create_section_header_slide(title):
        layout = root.slide_layouts[2]
        slide = root.slides.add_slide(layout)
        slide.shapes.title.text = title

    def create_title_and_content_slide(title, content):
        layout = root.slide_layouts[1]
        slide = root.slides.add_slide(layout)
        slide.shapes.title.text = title
        slide.placeholders[1].text = content

    def create_title_and_content_and_image_slide(title, content, image_query):
        layout = root.slide_layouts[8]
        slide = root.slides.add_slide(layout)
        slide.shapes.title.text = title
        slide.placeholders[2].text = content
        refresh_unique_image_name()
        google_crawler = GoogleImageCrawler(downloader_cls=PrefixNameDownloader, storage={'root_dir': os.getcwd()})
        google_crawler.crawl(keyword=image_query, max_num=1)
        dir_path = os.path.dirname(os.path.realpath(__file__))
        file_name = glob.glob(f"p_{unique_image_name}*")
        print(file_name)
        img_path = os.path.join(dir_path, file_name[0])
        slide.shapes.add_picture(img_path, slide.placeholders[1].left, slide.placeholders[1].top,
                                     slide.placeholders[1].width, slide.placeholders[1].height)

    def find_text_in_between_tags(text, start_tag, end_tag):
        start_pos = text.find(start_tag)
        end_pos = text.find(end_tag)
        result = []
        while start_pos > -1 and end_pos > -1:
            text_between_tags = text[start_pos + len(start_tag):end_pos]
            result.append(text_between_tags)
            start_pos = text.find(start_tag, end_pos + len(end_tag))
            end_pos = text.find(end_tag, start_pos)
        res1 = "".join(result)
        res2 = re.sub(r"\[IMAGE\].*?\[/IMAGE\]", '', res1)
        if len(result) > 0:
            return res2
        else:
            return ""

    def search_for_slide_type(text):
        tags = ["[L_TS]", "[L_CS]", "[L_IS]", "[L_THS]"]
        found_text = next((s for s in tags if s in text), None)
        return found_text

    def parse_response(reply):
        list_of_slides = reply.split("[SLIDEBREAK]")
        for slide in list_of_slides:
            slide_type = search_for_slide_type(slide)
            if slide_type == "[L_TS]":
                create_title_slide(find_text_in_between_tags(str(slide), "[TITLE]", "[/TITLE]"),
                                    find_text_in_between_tags(str(slide), "[SUBTITLE]", "[/SUBTITLE]"))
            elif slide_type == "[L_CS]":
                create_title_and_content_slide(
                    "".join(find_text_in_between_tags(str(slide), "[TITLE]", "[/TITLE]")),
                    "".join(find_text_in_between_tags(str(slide), "[CONTENT]",
                                                        "[/CONTENT]")))
            elif slide_type == "[L_IS]":
                create_title_and_content_and_image_slide("".join(find_text_in_between_tags(str(slide), "[TITLE]",
                                                                                            "[/TITLE]")),
                                                            "".join(find_text_in_between_tags(str(slide), "[CONTENT]",
                                                                                            "[/CONTENT]")),
                                                            "".join(find_text_in_between_tags(str(slide), "[IMAGE]",
                                                                                            "[/IMAGE]")))
            elif slide_type == "[L_THS]":
                create_section_header_slide("".join(find_text_in_between_tags(str(slide), "[TITLE]", "[/TITLE]")))

    def find_title():
        return root.slides[0].shapes.title.text

    delete_all_slides()

    print(response)

    parse_response(response['choices'][0]['message']['content'])

    root.save(f"{find_title()}.pptx")

    print("done")

    output_pptx = find_title() + ".pptx"

    return output_pptx


iface = gr.Interface(
    fn=generate_ppt, 
    inputs=[      
        gr.Textbox(label='OpenAI API Key', type='password'),
        gr.Textbox(label='Topic'),
        gr.Number(label='Number of slides', value=5, minimum=5, maximum=20),
        gr.Radio(['None', 'Few', 'Many'], label='Graphical presence', value='Many'),
        gr.Radio(['gpt-3.5-turbo', 'gpt-4'], label='GPT Model', value='gpt-4'),
        InputFile(label="Upload PPTX template (blank .pptx file)"), 
    ],
    outputs=[
        OutputFile(label="Download PPTX")
    ],
    title="AIDeckGen",
    description="Enter your OpenAI API Key, Presentation Topic, Number of slides, Graphical presence and upload a PPTX template to generate a presentation."
)

iface.launch()