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app.py

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+import glob
+import os
+import random
+import re
+import string
+
+import gradio as gr
+
+import openai
+from icrawler import ImageDownloader
+from icrawler.builtin import GoogleImageCrawler, BingImageCrawler
+from uuid import uuid4
+from pptx import Presentation
+
+bad_coding_practice = ''.join(random.choice(string.ascii_uppercase + string.ascii_lowercase + string.digits) for _ in
+                              range(16))
+
+
+def refresh_bad_coding_practice():
+    global bad_coding_practice
+    bad_coding_practice = ''.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)
+        print(bad_coding_practice)
+        return 'prefix_' + bad_coding_practice + filename
+
+
+def generate_ppt(file, topic, slide_length, api_key):
+    print(file.name)
+
+    root = Presentation(file.name)
+
+    openai.api_key = api_key
+
+    message = f"""
+    Create content for a slideshow presentation.
+    The content's topic is {topic}. 
+    The slideshow is {slide_length} slides long. 
+    The content is written in the language of the content I give you above.
+    
+    
+    You are allowed to use the following slide types:
+    
+    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 "[SLIDEBREAK]" after each slide 
+    
+    For example:
+    [L_TS]
+    [TITLE]Mental Health[/TITLE]
+    
+    [SLIDEBREAK]
+    
+    [L_CS] 
+    [TITLE]Mental Health Definition[/TITLE]
+    [CONTENT]
+    1. Definition: A person’s condition with regard to their psychological and emotional well-being
+    2. Can impact one's physical health
+    3. Stigmatized too often.
+    [/CONTENT]
+    
+    [SLIDEBREAK]
+    
+    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]
+    
+    Elaborate on the Content, provide as much information as possible.
+    You put a [/CONTENT] at the end of the Content.
+    Do not reply as if you are talking about the slideshow itself. (ex. "Include pictures here about...")
+    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="gpt-3.5-turbo",
+    #     messages=[
+    #         {"role": "user", "content": message}
+    #     ]
+    # )
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {
+                "role": "system",
+                "content": (
+                    "You are a helpful assistant capable of creating clear and concise PowerPoint slide outlines used by teachers during their lessons based on a given lesson plan."
+                ),
+            },
+            {"role": "user", "content": message},
+        ],
+        max_tokens=2000,
+        n=1,
+        stop=None,
+        temperature=0.7,
+ #      top_p=0.9,
+    )
+
+    # """ 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_bad_coding_practice()
+        bing_crawler = GoogleImageCrawler(downloader_cls=PrefixNameDownloader, storage={'root_dir': os.getcwd()})
+        bing_crawler.crawl(keyword=image_query, max_num=1)
+        dir_path = os.path.dirname(os.path.realpath(__file__))
+        file_name = glob.glob(f"prefix_{bad_coding_practice}*")
+        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'])
+
+    name_ = str(uuid4()).replace('-', '')
+
+    root.save(f"./{name_}.pptx")
+
+    print("done")
+
+    dir_path = "./"
+    prefix = "prefix_"
+
+    for file_name in os.listdir(dir_path):
+        if file_name.startswith(prefix):
+            file_path = os.path.join(dir_path, file_name)
+            if os.path.isfile(file_path):
+                os.remove(file_path)
+
+    return f"./{name_}.pptx"
+
+
+with gr.Blocks(title="AI Generated Presentation") as demo:
+     gr.Markdown("""<h1><center>AI Generated Presentation</center></h1>""")
+     with gr. Row():
+         with gr. Column():
+             openai_token = gr. Textbox(label="OpenAI API Key", type='password')
+             topic = gr.Textbox(label="Topic of the presentation")
+             length = gr.Slider(minimum=1, maximum=50, value=6, label="number of generated PPT pages", step=1)
+             theme = gr.File(value="./theme.pptx", file_types=['pptx', 'ppt'], label="PPT template")
+             output_file = gr. File(interactive=False)
+
+             topic. submit(
+                 fn=generate_ppt,
+                 inputs=[theme, topic, length, openai_token],
+                 outputs=[output_file]
+             )
+
+             submit = gr.Button("generate")
+             submit. click(
+                 fn=generate_ppt,
+                 inputs=[theme, topic, length, openai_token],
+                 outputs=[output_file]
+             )
+
+
+
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio==3.21.0
+python-pptx==0.6.21
+icrawler==0.6.6
+openai==0.27.1