Spaces:
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Running
Reorganize files and set logging format globally
Browse files- app.py +28 -55
- global_config.py +8 -0
- helpers/__init__.py +0 -0
- llm_helper.py → helpers/llm_helper.py +35 -15
- pptx_helper.py → helpers/pptx_helper.py +12 -14
app.py
CHANGED
@@ -7,8 +7,7 @@ import json5
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import metaphor_python as metaphor
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import streamlit as st
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-
import llm_helper
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import pptx_helper
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from global_config import GlobalConfig
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@@ -16,10 +15,7 @@ APP_TEXT = json5.loads(open(GlobalConfig.APP_STRINGS_FILE, 'r', encoding='utf-8'
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GB_CONVERTER = 2 ** 30
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logging.
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level=GlobalConfig.LOG_LEVEL,
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format='%(asctime)s - %(message)s',
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)
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@st.cache_data
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@@ -27,11 +23,11 @@ def get_contents_wrapper(text: str) -> str:
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"""
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Fetch and cache the slide deck contents on a topic by calling an external API.
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:param text: The presentation topic
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:return: The slide deck contents or outline in JSON format
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"""
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-
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return llm_helper.generate_slides_content(text).strip()
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@@ -40,7 +36,7 @@ def get_metaphor_client_wrapper() -> metaphor.Metaphor:
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"""
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Create a Metaphor client for semantic Web search.
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:return: Metaphor instance
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"""
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return metaphor.Metaphor(api_key=GlobalConfig.METAPHOR_API_KEY)
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@@ -51,8 +47,8 @@ def get_web_search_results_wrapper(text: str) -> List[Tuple[str, str]]:
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"""
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Fetch and cache the Web search results on a given topic.
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:param text: The topic
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:return: A list of (title, link) tuples
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"""
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results = []
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@@ -68,28 +64,6 @@ def get_web_search_results_wrapper(text: str) -> List[Tuple[str, str]]:
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return results
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-
# def get_disk_used_percentage() -> float:
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# """
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# Compute the disk usage.
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#
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# :return: Percentage of the disk space currently used
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# """
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#
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# total, used, free = shutil.disk_usage(__file__)
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# total = total // GB_CONVERTER
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# used = used // GB_CONVERTER
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# free = free // GB_CONVERTER
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# used_perc = 100.0 * used / total
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#
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# logging.debug(f'Total: {total} GB\n'
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# f'Used: {used} GB\n'
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# f'Free: {free} GB')
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#
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# logging.debug('\n'.join(os.listdir()))
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#
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# return used_perc
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-
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-
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def build_ui():
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"""
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Display the input elements for content generation. Only covers the first step.
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@@ -160,24 +134,23 @@ def generate_presentation(topic: str, pptx_template: str, progress_bar):
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"""
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Process the inputs to generate the slides.
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:param topic: The presentation topic based on which contents are to be generated
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:param pptx_template: The PowerPoint template name to be used
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:param progress_bar: Progress bar from the page
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:return:
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"""
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topic_length = len(topic)
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-
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if topic_length >= 10:
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-
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target_length = min(topic_length, GlobalConfig.LLM_MODEL_MAX_INPUT_LENGTH)
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try:
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# Step 1: Generate the contents in JSON format using an LLM
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json_str = process_slides_contents(topic[:target_length], progress_bar)
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-
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-
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# Step 2: Generate the slide deck based on the template specified
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if len(json_str) > 0:
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@@ -210,15 +183,15 @@ def process_slides_contents(text: str, progress_bar: st.progress) -> str:
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"""
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Convert given text into structured data and display. Update the UI.
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:param text: The topic description for the presentation
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:param progress_bar: Progress bar for this step
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:return: The contents as a JSON-formatted string
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"""
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json_str = ''
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try:
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-
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json_str = get_contents_wrapper(text)
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except Exception as ex:
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st.error(
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@@ -239,10 +212,10 @@ def generate_slide_deck(json_str: str, pptx_template: str, progress_bar) -> List
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"""
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Create a slide deck.
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:param json_str: The contents in JSON format
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:param pptx_template: The PPTX template name
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:param progress_bar: Progress bar
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:return: A list of all slide headers and the title
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"""
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progress_text = 'Creating the slide deck...give it a moment'
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@@ -257,7 +230,7 @@ def generate_slide_deck(json_str: str, pptx_template: str, progress_bar) -> List
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temp = tempfile.NamedTemporaryFile(delete=False, suffix='.pptx')
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path = pathlib.Path(temp.name)
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all_headers = pptx_helper.generate_powerpoint_presentation(
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json_str,
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slides_template=pptx_template,
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@@ -279,7 +252,7 @@ def show_bonus_stuff(ppt_headers: List[str]):
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"""
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# Use the presentation title and the slide headers to find relevant info online
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ppt_text = ' '.join(ppt_headers)
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search_results = get_web_search_results_wrapper(ppt_text)
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md_text_items = []
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@@ -290,11 +263,11 @@ def show_bonus_stuff(ppt_headers: List[str]):
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with st.expander('Related Web references'):
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st.markdown('\n\n'.join(md_text_items))
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-
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# # Avoid image generation. It costs time and an API call, so just limit to the text generation.
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# with st.expander('AI-generated image on the presentation topic'):
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#
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# # img_empty.write('')
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# # img_text.write(APP_TEXT['image_info'])
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# image = get_ai_image_wrapper(ppt_text)
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@@ -303,7 +276,7 @@ def show_bonus_stuff(ppt_headers: List[str]):
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# image = base64.b64decode(image)
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# st.image(image, caption=ppt_text)
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# st.info('Tip: Right-click on the image to save it.', icon="💡️")
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-
#
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def main():
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import metaphor_python as metaphor
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import streamlit as st
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from helpers import llm_helper, pptx_helper
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from global_config import GlobalConfig
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GB_CONVERTER = 2 ** 30
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logger = logging.getLogger(__name__)
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@st.cache_data
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"""
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Fetch and cache the slide deck contents on a topic by calling an external API.
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:param text: The presentation topic.
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:return: The slide deck contents or outline in JSON format.
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"""
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logger.info('LLM call because of cache miss...')
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return llm_helper.generate_slides_content(text).strip()
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"""
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Create a Metaphor client for semantic Web search.
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:return: Metaphor instance.
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"""
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return metaphor.Metaphor(api_key=GlobalConfig.METAPHOR_API_KEY)
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"""
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Fetch and cache the Web search results on a given topic.
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+
:param text: The topic.
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:return: A list of (title, link) tuples.
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"""
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results = []
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return results
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def build_ui():
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"""
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Display the input elements for content generation. Only covers the first step.
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"""
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Process the inputs to generate the slides.
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136 |
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137 |
+
:param topic: The presentation topic based on which contents are to be generated.
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138 |
+
:param pptx_template: The PowerPoint template name to be used.
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+
:param progress_bar: Progress bar from the page.
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"""
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topic_length = len(topic)
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logger.debug('Input length:: topic: %s', topic_length)
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if topic_length >= 10:
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logger.debug('Topic: %s', topic)
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target_length = min(topic_length, GlobalConfig.LLM_MODEL_MAX_INPUT_LENGTH)
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try:
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# Step 1: Generate the contents in JSON format using an LLM
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json_str = process_slides_contents(topic[:target_length], progress_bar)
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logger.debug('Truncated topic: %s', topic[:target_length])
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logger.debug('Length of JSON: %d', len(json_str))
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# Step 2: Generate the slide deck based on the template specified
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if len(json_str) > 0:
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"""
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Convert given text into structured data and display. Update the UI.
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+
:param text: The topic description for the presentation.
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+
:param progress_bar: Progress bar for this step.
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:return: The contents as a JSON-formatted string.
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"""
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json_str = ''
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try:
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logger.info('Calling LLM for content generation on the topic: %s', text)
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json_str = get_contents_wrapper(text)
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except Exception as ex:
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st.error(
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"""
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Create a slide deck.
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+
:param json_str: The contents in JSON format.
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216 |
+
:param pptx_template: The PPTX template name.
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+
:param progress_bar: Progress bar.
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:return: A list of all slide headers and the title.
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"""
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progress_text = 'Creating the slide deck...give it a moment'
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temp = tempfile.NamedTemporaryFile(delete=False, suffix='.pptx')
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path = pathlib.Path(temp.name)
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+
logger.info('Creating PPTX file...')
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all_headers = pptx_helper.generate_powerpoint_presentation(
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json_str,
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slides_template=pptx_template,
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"""
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# Use the presentation title and the slide headers to find relevant info online
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logger.info('Calling Metaphor search...')
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ppt_text = ' '.join(ppt_headers)
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search_results = get_web_search_results_wrapper(ppt_text)
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md_text_items = []
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with st.expander('Related Web references'):
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st.markdown('\n\n'.join(md_text_items))
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logger.info('Done!')
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# # Avoid image generation. It costs time and an API call, so just limit to the text generation.
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# with st.expander('AI-generated image on the presentation topic'):
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# logger.info('Calling SDXL for image generation...')
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# # img_empty.write('')
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# # img_text.write(APP_TEXT['image_info'])
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# image = get_ai_image_wrapper(ppt_text)
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# image = base64.b64decode(image)
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# st.image(image, caption=ppt_text)
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# st.info('Tip: Right-click on the image to save it.', icon="💡️")
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# logger.info('Image added')
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def main():
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global_config.py
CHANGED
@@ -1,3 +1,4 @@
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import os
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from dataclasses import dataclass
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@@ -38,3 +39,10 @@ class GlobalConfig:
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'caption': 'Marvel in a monochrome dream'
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}
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}
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import logging
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import os
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from dataclasses import dataclass
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'caption': 'Marvel in a monochrome dream'
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}
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}
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+
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logging.basicConfig(
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level=GlobalConfig.LOG_LEVEL,
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format='%(asctime)s - %(levelname)s - %(name)s - %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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helpers/__init__.py
ADDED
File without changes
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llm_helper.py → helpers/llm_helper.py
RENAMED
@@ -1,5 +1,7 @@
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import logging
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import requests
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from global_config import GlobalConfig
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@@ -7,27 +9,45 @@ from global_config import GlobalConfig
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HF_API_URL = f"https://api-inference.huggingface.co/models/{GlobalConfig.HF_LLM_MODEL_NAME}"
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HF_API_HEADERS = {"Authorization": f"Bearer {GlobalConfig.HUGGINGFACEHUB_API_TOKEN}"}
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logging.
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-
level=GlobalConfig.LOG_LEVEL,
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format='%(asctime)s - %(message)s',
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)
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-
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-
def hf_api_query(payload: dict):
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"""
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Invoke HF inference end-point API.
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:param payload: The prompt for the LLM and related parameters
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:return: The output from the LLM
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"""
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try:
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response = requests.post(HF_API_URL, headers=HF_API_HEADERS, json=payload, timeout=15)
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result = response.json()
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except requests.exceptions.Timeout as te:
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-
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result = {}
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return result
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@@ -37,8 +57,8 @@ def generate_slides_content(topic: str) -> str:
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"""
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Generate the outline/contents of slides for a presentation on a given topic.
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39 |
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40 |
-
:param topic: Topic on which slides are to be generated
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41 |
-
:return: The content in JSON format
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"""
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with open(GlobalConfig.SLIDES_TEMPLATE_FILE, 'r', encoding='utf-8') as in_file:
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@@ -46,8 +66,8 @@ def generate_slides_content(topic: str) -> str:
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template_txt = template_txt.replace('<REPLACE_PLACEHOLDER>', topic)
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output = hf_api_query({
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-
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-
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'temperature': GlobalConfig.LLM_MODEL_TEMPERATURE,
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'min_length': GlobalConfig.LLM_MODEL_MIN_OUTPUT_LENGTH,
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'max_length': GlobalConfig.LLM_MODEL_MAX_OUTPUT_LENGTH,
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@@ -56,7 +76,7 @@ def generate_slides_content(topic: str) -> str:
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'return_full_text': False,
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# "repetition_penalty": 0.0001
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},
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59 |
-
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'wait_for_model': True,
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'use_cache': True
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}
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@@ -70,7 +90,7 @@ def generate_slides_content(topic: str) -> str:
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# logging.debug(f'{json_end_idx=}')
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output = output[:json_end_idx]
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-
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return output
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76 |
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1 |
import logging
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import requests
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+
from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
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4 |
+
from langchain_core.language_models import LLM
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5 |
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6 |
from global_config import GlobalConfig
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7 |
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9 |
HF_API_URL = f"https://api-inference.huggingface.co/models/{GlobalConfig.HF_LLM_MODEL_NAME}"
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10 |
HF_API_HEADERS = {"Authorization": f"Bearer {GlobalConfig.HUGGINGFACEHUB_API_TOKEN}"}
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12 |
+
logger = logging.getLogger(__name__)
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13 |
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15 |
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def get_hf_endpoint() -> LLM:
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"""
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17 |
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Get an LLM via the HuggingFaceEndpoint.
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18 |
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:return: The LLM.
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20 |
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"""
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21 |
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22 |
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logger.debug('Getting LLM via HF endpoint')
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24 |
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return HuggingFaceEndpoint(
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repo_id=GlobalConfig.HF_LLM_MODEL_NAME,
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+
max_new_tokens=GlobalConfig.LLM_MODEL_MAX_OUTPUT_LENGTH,
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27 |
+
top_k=40,
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28 |
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top_p=0.95,
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29 |
+
temperature=GlobalConfig.LLM_MODEL_TEMPERATURE,
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30 |
+
repetition_penalty=1.03,
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31 |
+
streaming=True,
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32 |
+
huggingfacehub_api_token=GlobalConfig.HUGGINGFACEHUB_API_TOKEN,
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33 |
+
return_full_text=False,
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34 |
+
stop_sequences=['</s>'],
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35 |
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)
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36 |
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37 |
|
38 |
+
def hf_api_query(payload: dict) -> dict:
|
39 |
"""
|
40 |
Invoke HF inference end-point API.
|
41 |
|
42 |
+
:param payload: The prompt for the LLM and related parameters.
|
43 |
+
:return: The output from the LLM.
|
44 |
"""
|
45 |
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46 |
try:
|
47 |
response = requests.post(HF_API_URL, headers=HF_API_HEADERS, json=payload, timeout=15)
|
48 |
result = response.json()
|
49 |
except requests.exceptions.Timeout as te:
|
50 |
+
logger.error('*** Error: hf_api_query timeout! %s', str(te))
|
51 |
result = {}
|
52 |
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53 |
return result
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|
57 |
"""
|
58 |
Generate the outline/contents of slides for a presentation on a given topic.
|
59 |
|
60 |
+
:param topic: Topic on which slides are to be generated.
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61 |
+
:return: The content in JSON format.
|
62 |
"""
|
63 |
|
64 |
with open(GlobalConfig.SLIDES_TEMPLATE_FILE, 'r', encoding='utf-8') as in_file:
|
|
|
66 |
template_txt = template_txt.replace('<REPLACE_PLACEHOLDER>', topic)
|
67 |
|
68 |
output = hf_api_query({
|
69 |
+
'inputs': template_txt,
|
70 |
+
'parameters': {
|
71 |
'temperature': GlobalConfig.LLM_MODEL_TEMPERATURE,
|
72 |
'min_length': GlobalConfig.LLM_MODEL_MIN_OUTPUT_LENGTH,
|
73 |
'max_length': GlobalConfig.LLM_MODEL_MAX_OUTPUT_LENGTH,
|
|
|
76 |
'return_full_text': False,
|
77 |
# "repetition_penalty": 0.0001
|
78 |
},
|
79 |
+
'options': {
|
80 |
'wait_for_model': True,
|
81 |
'use_cache': True
|
82 |
}
|
|
|
90 |
# logging.debug(f'{json_end_idx=}')
|
91 |
output = output[:json_end_idx]
|
92 |
|
93 |
+
logger.debug('generate_slides_content: output: %s', output)
|
94 |
|
95 |
return output
|
96 |
|
pptx_helper.py → helpers/pptx_helper.py
RENAMED
@@ -2,6 +2,7 @@ import logging
|
|
2 |
import pathlib
|
3 |
import re
|
4 |
import tempfile
|
|
|
5 |
from typing import List, Tuple
|
6 |
|
7 |
import json5
|
@@ -28,17 +29,14 @@ SAMPLE_JSON_FOR_PPTX = '''
|
|
28 |
}
|
29 |
'''
|
30 |
|
31 |
-
logging.
|
32 |
-
level=GlobalConfig.LOG_LEVEL,
|
33 |
-
format='%(asctime)s - %(message)s',
|
34 |
-
)
|
35 |
|
36 |
|
37 |
def remove_slide_number_from_heading(header: str) -> str:
|
38 |
"""
|
39 |
Remove the slide number from a given slide header.
|
40 |
|
41 |
-
:param header: The header of a slide
|
42 |
"""
|
43 |
|
44 |
if PATTERN.match(header):
|
@@ -56,16 +54,16 @@ def generate_powerpoint_presentation(
|
|
56 |
"""
|
57 |
Create and save a PowerPoint presentation file containing the content in JSON format.
|
58 |
|
59 |
-
:param structured_data: The presentation contents as "JSON" (may contain trailing commas)
|
60 |
-
:param slides_template: The PPTX template to use
|
61 |
-
:param output_file_path: The path of the PPTX file to save as
|
62 |
-
:return A list of presentation title and slides headers
|
63 |
"""
|
64 |
|
65 |
# The structured "JSON" might contain trailing commas, so using json5
|
66 |
parsed_data = json5.loads(structured_data)
|
67 |
|
68 |
-
|
69 |
"*** Using PPTX template: %s",
|
70 |
GlobalConfig.PPTX_TEMPLATE_FILES[slides_template]['file']
|
71 |
)
|
@@ -77,7 +75,7 @@ def generate_powerpoint_presentation(
|
|
77 |
title = slide.shapes.title
|
78 |
subtitle = slide.placeholders[1]
|
79 |
title.text = parsed_data['title']
|
80 |
-
|
81 |
subtitle.text = 'by Myself and SlideDeck AI :)'
|
82 |
all_headers = [title.text, ]
|
83 |
|
@@ -125,9 +123,9 @@ def get_flat_list_of_contents(items: list, level: int) -> List[Tuple]:
|
|
125 |
Flatten a (hierarchical) list of bullet points to a single list containing each item and
|
126 |
its level.
|
127 |
|
128 |
-
:param items: A bullet point (string or list)
|
129 |
-
:param level: The current level of hierarchy
|
130 |
-
:return: A list of (bullet item text, hierarchical level) tuples
|
131 |
"""
|
132 |
|
133 |
flat_list = []
|
|
|
2 |
import pathlib
|
3 |
import re
|
4 |
import tempfile
|
5 |
+
|
6 |
from typing import List, Tuple
|
7 |
|
8 |
import json5
|
|
|
29 |
}
|
30 |
'''
|
31 |
|
32 |
+
logger = logging.getLogger(__name__)
|
|
|
|
|
|
|
33 |
|
34 |
|
35 |
def remove_slide_number_from_heading(header: str) -> str:
|
36 |
"""
|
37 |
Remove the slide number from a given slide header.
|
38 |
|
39 |
+
:param header: The header of a slide.
|
40 |
"""
|
41 |
|
42 |
if PATTERN.match(header):
|
|
|
54 |
"""
|
55 |
Create and save a PowerPoint presentation file containing the content in JSON format.
|
56 |
|
57 |
+
:param structured_data: The presentation contents as "JSON" (may contain trailing commas).
|
58 |
+
:param slides_template: The PPTX template to use.
|
59 |
+
:param output_file_path: The path of the PPTX file to save as.
|
60 |
+
:return A list of presentation title and slides headers.
|
61 |
"""
|
62 |
|
63 |
# The structured "JSON" might contain trailing commas, so using json5
|
64 |
parsed_data = json5.loads(structured_data)
|
65 |
|
66 |
+
logger.debug(
|
67 |
"*** Using PPTX template: %s",
|
68 |
GlobalConfig.PPTX_TEMPLATE_FILES[slides_template]['file']
|
69 |
)
|
|
|
75 |
title = slide.shapes.title
|
76 |
subtitle = slide.placeholders[1]
|
77 |
title.text = parsed_data['title']
|
78 |
+
logger.debug('Presentation title is: %s', title.text)
|
79 |
subtitle.text = 'by Myself and SlideDeck AI :)'
|
80 |
all_headers = [title.text, ]
|
81 |
|
|
|
123 |
Flatten a (hierarchical) list of bullet points to a single list containing each item and
|
124 |
its level.
|
125 |
|
126 |
+
:param items: A bullet point (string or list).
|
127 |
+
:param level: The current level of hierarchy.
|
128 |
+
:return: A list of (bullet item text, hierarchical level) tuples.
|
129 |
"""
|
130 |
|
131 |
flat_list = []
|