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Merge pull request #93 from barun-saha/visual
Browse files- .streamlit/config.toml +1 -1
- app.py +24 -7
- global_config.py +17 -8
- helpers/file_manager.py +40 -0
- langchain_templates/chat_prompts/initial_template_v4_two_cols_img.txt +15 -2
- langchain_templates/chat_prompts/refinement_template_v4_two_cols_img.txt +15 -2
- requirements.txt +3 -2
- strings.json +4 -3
.streamlit/config.toml
CHANGED
@@ -1,7 +1,7 @@
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[server]
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runOnSave = true
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headless = false
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-
maxUploadSize =
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[browser]
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gatherUsageStats = false
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[server]
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runOnSave = true
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headless = false
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+
maxUploadSize = 2
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[browser]
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gatherUsageStats = false
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app.py
CHANGED
@@ -21,6 +21,7 @@ from langchain_core.messages import HumanMessage
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from langchain_core.prompts import ChatPromptTemplate
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import global_config as gcfg
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from global_config import GlobalConfig
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from helpers import llm_helper, pptx_helper, text_helper
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@@ -141,6 +142,7 @@ APP_TEXT = _load_strings()
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CHAT_MESSAGES = 'chat_messages'
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DOWNLOAD_FILE_KEY = 'download_file_name'
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IS_IT_REFINEMENT = 'is_it_refinement'
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logger = logging.getLogger(__name__)
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@@ -266,8 +268,17 @@ def set_up_chat_ui():
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if prompt := st.chat_input(
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placeholder=APP_TEXT['chat_placeholder'],
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-
max_chars=GlobalConfig.LLM_MODEL_MAX_INPUT_LENGTH
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):
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provider, llm_name = llm_helper.get_provider_model(
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llm_provider_to_use,
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use_ollama=RUN_IN_OFFLINE_MODE
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@@ -279,20 +290,20 @@ def set_up_chat_ui():
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api_ver = api_version.strip()
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if not are_all_inputs_valid(
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-
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az_deployment, az_endpoint, api_ver
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):
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return
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logger.info(
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'User input: %s | #characters: %d | LLM: %s',
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-
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)
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st.chat_message('user').write(
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if _is_it_refinement():
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user_messages = _get_user_messages()
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-
user_messages.append(
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list_of_msgs = [
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f'{idx + 1}. {msg}' for idx, msg in enumerate(user_messages)
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]
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@@ -300,10 +311,16 @@ def set_up_chat_ui():
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**{
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'instructions': '\n'.join(list_of_msgs),
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'previous_content': _get_last_response(),
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}
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)
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else:
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formatted_template = prompt_template.format(
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progress_bar = st.progress(0, 'Preparing to call LLM...')
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response = ''
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@@ -392,7 +409,7 @@ def set_up_chat_ui():
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)
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return
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history.add_user_message(
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history.add_ai_message(response)
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# The content has been generated as JSON
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from langchain_core.prompts import ChatPromptTemplate
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import global_config as gcfg
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import helpers.file_manager as filem
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from global_config import GlobalConfig
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from helpers import llm_helper, pptx_helper, text_helper
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CHAT_MESSAGES = 'chat_messages'
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DOWNLOAD_FILE_KEY = 'download_file_name'
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IS_IT_REFINEMENT = 'is_it_refinement'
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+
ADDITIONAL_INFO = 'additional_info'
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logger = logging.getLogger(__name__)
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if prompt := st.chat_input(
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placeholder=APP_TEXT['chat_placeholder'],
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max_chars=GlobalConfig.LLM_MODEL_MAX_INPUT_LENGTH,
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accept_file=True,
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file_type=['pdf', ],
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):
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prompt_text = prompt.text or ''
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if prompt['files']:
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# Apparently, Streamlit stores uploaded files in memory and clears on browser close
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# https://docs.streamlit.io/knowledge-base/using-streamlit/where-file-uploader-store-when-deleted
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st.session_state[ADDITIONAL_INFO] = filem.get_pdf_contents(prompt['files'][0])
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print(f'{prompt["files"]=}')
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provider, llm_name = llm_helper.get_provider_model(
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llm_provider_to_use,
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use_ollama=RUN_IN_OFFLINE_MODE
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api_ver = api_version.strip()
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if not are_all_inputs_valid(
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prompt_text, provider, llm_name, user_key,
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az_deployment, az_endpoint, api_ver
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):
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return
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logger.info(
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'User input: %s | #characters: %d | LLM: %s',
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prompt_text, len(prompt_text), llm_name
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)
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st.chat_message('user').write(prompt_text)
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if _is_it_refinement():
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user_messages = _get_user_messages()
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user_messages.append(prompt_text)
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list_of_msgs = [
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f'{idx + 1}. {msg}' for idx, msg in enumerate(user_messages)
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]
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**{
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'instructions': '\n'.join(list_of_msgs),
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'previous_content': _get_last_response(),
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'additional_info': st.session_state.get(ADDITIONAL_INFO, ''),
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}
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)
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else:
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formatted_template = prompt_template.format(
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**{
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'question': prompt_text,
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'additional_info': st.session_state.get(ADDITIONAL_INFO, ''),
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}
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)
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progress_bar = st.progress(0, 'Preparing to call LLM...')
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response = ''
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)
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return
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history.add_user_message(prompt_text)
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history.add_ai_message(response)
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# The content has been generated as JSON
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global_config.py
CHANGED
@@ -86,6 +86,7 @@ class GlobalConfig:
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LLM_MODEL_TEMPERATURE = 0.2
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LLM_MODEL_MIN_OUTPUT_LENGTH = 100
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LLM_MODEL_MAX_INPUT_LENGTH = 400 # characters
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LOG_LEVEL = 'DEBUG'
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COUNT_TOKENS = False
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@@ -133,15 +134,23 @@ class GlobalConfig:
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'\n\n'
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'Finally, click on the download button at the bottom to download the slide deck.'
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' See this [demo video](https://youtu.be/QvAKzNKtk9k) for a brief walkthrough.\n\n'
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'Remember, the conversational interface is meant to (and will) update yor *initial
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' slide deck. If you want to create a new slide deck on a different topic,'
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' start a new chat session by reloading this page
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'
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'
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'
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'https://github.com/barun-saha/slide-deck-ai/blob/main/README.md#summary-of-the-llms)'
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' is available for reference. SlideDeck AI does **NOT** store your API keys
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'
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' to the slides. Photos are added probabilistically; transparency needs to be changed'
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' manually, if required.\n\n'
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'[SlideDeck AI](https://github.com/barun-saha/slide-deck-ai) is an Open-Source project,'
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LLM_MODEL_TEMPERATURE = 0.2
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LLM_MODEL_MIN_OUTPUT_LENGTH = 100
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LLM_MODEL_MAX_INPUT_LENGTH = 400 # characters
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MAX_PAGE_COUNT = 50
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LOG_LEVEL = 'DEBUG'
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COUNT_TOKENS = False
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'\n\n'
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'Finally, click on the download button at the bottom to download the slide deck.'
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' See this [demo video](https://youtu.be/QvAKzNKtk9k) for a brief walkthrough.\n\n'
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'Remember, the conversational interface is meant to (and will) update yor *initial*/'
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'*previous* slide deck. If you want to create a new slide deck on a different topic,'
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' start a new chat session by reloading this page.'
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'\n\nSlideDeck AI can algo generate a presentation based on a PDF file. You can upload'
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' a PDF file using the chat widget. Only a single file and up to max 50 pages will be'
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' considered. For PDF-based slide deck generation, LLMs with large context windows, such'
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' as Gemini, GPT, and Mistral-Nemo, are recommended. Note: images from the PDF files will'
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' not be used.'
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'\n\nAlso, note that the uploaded file might disappear from the page after click.'
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' You do not need to upload the same file again to continue'
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' the interaction and refining—the contents of the PDF file will be retained in the'
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' same interactive session.'
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'\n\nCurrently, paid or *free-to-use* LLMs from five different providers are supported.'
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' A [summary of the supported LLMs]('
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'https://github.com/barun-saha/slide-deck-ai/blob/main/README.md#summary-of-the-llms)'
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' is available for reference. SlideDeck AI does **NOT** store your API keys.'
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'\n\nSlideDeck AI does not have access to the Web, apart for searching for images relevant'
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' to the slides. Photos are added probabilistically; transparency needs to be changed'
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' manually, if required.\n\n'
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'[SlideDeck AI](https://github.com/barun-saha/slide-deck-ai) is an Open-Source project,'
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helpers/file_manager.py
ADDED
@@ -0,0 +1,40 @@
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"""
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File manager helper to work with uploaded files.
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"""
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import logging
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import os
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import sys
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import streamlit as st
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from pypdf import PdfReader
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sys.path.append('..')
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sys.path.append('../..')
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from global_config import GlobalConfig
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logger = logging.getLogger(__name__)
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def get_pdf_contents(
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pdf_file: st.runtime.uploaded_file_manager.UploadedFile,
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max_pages: int = GlobalConfig.MAX_PAGE_COUNT
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) -> str:
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"""
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Extract the text contents from a PDF file.
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:param pdf_file: The uploaded PDF file.
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:param max_pages: The max no. of pages to extract contents from.
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:return: The contents.
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"""
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reader = PdfReader(pdf_file)
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n_pages = min(max_pages, len(reader.pages))
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text = ''
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for page in range(n_pages):
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page = reader.pages[page]
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text += page.extract_text()
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return text
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langchain_templates/chat_prompts/initial_template_v4_two_cols_img.txt
CHANGED
@@ -5,6 +5,13 @@ Include main headings for each slide, detailed bullet points for each slide.
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Add relevant, detailed content to each slide. When relevant, add one or two EXAMPLES to illustrate the concept.
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For two or three important slides, generate the key message that those slides convey.
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Identify if a slide describes a step-by-step/sequential process, then begin the bullet points with a special marker >>.
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Limit this to max two or three slides.
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@@ -16,11 +23,12 @@ In addition, create one slide containing 4 TO 6 icons (pictograms) illustrating
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In this slide, each line of text will begin with the name of a relevant icon enclosed between [[ and ]], e.g., [[machine-learning]] and [[fairness]].
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Insert icons only in this slide.
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-
Your output, i.e., the content of each slide should be
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Each bullet point should be detailed and explanatory, not just short phrases.
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ALWAYS add a concluding slide at the end, containing a list of the key takeaways and an optional call-to-action if relevant to the context.
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Unless explicitly instructed with the topic, create 10
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### Topic:
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@@ -102,5 +110,10 @@ The output must be only a valid and syntactically correct JSON adhering to the f
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}}
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### Output:
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```json
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Add relevant, detailed content to each slide. When relevant, add one or two EXAMPLES to illustrate the concept.
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For two or three important slides, generate the key message that those slides convey.
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The <ADDITIONAL_INFO> may provide additional information. If available, you should incorporate them while making the slides.
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Read this information carefully. Based on the contents provided, plan the structure of the presentation.
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+
For example, if it's a paper, you can consider having Problem, Solution, Experiments, and Results, among other sections.
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+
If it's a product brochure, you can have Features, Changes, Operating Conditions, and likewise relevant sections.
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+
Similarly, decide for other content types. Then appropriately incorporate the contents into the relevant slides, presenting in a useful way.
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If <ADDITIONAL_INFO> is empty, ignore it.
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+
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Identify if a slide describes a step-by-step/sequential process, then begin the bullet points with a special marker >>.
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Limit this to max two or three slides.
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In this slide, each line of text will begin with the name of a relevant icon enclosed between [[ and ]], e.g., [[machine-learning]] and [[fairness]].
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Insert icons only in this slide.
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+
Your output, i.e., the content of each slide should be vert detailed and descriptive but not way too verbose.
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+
Avoid writing like a report, but also avoid very short bullet points with just 3-4 words.
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Each bullet point should be detailed and explanatory, not just short phrases.
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29 |
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ALWAYS add a concluding slide at the end, containing a list of the key takeaways and an optional call-to-action if relevant to the context.
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+
Unless explicitly instructed with the topic, create 10 to 12 slides. You must never create more than 15 to 20 slides.
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### Topic:
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}}
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<ADDITIONAL_INFO>
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{additional_info}
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</ADDITIONAL_INFO>
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+
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### Output:
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```json
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langchain_templates/chat_prompts/refinement_template_v4_two_cols_img.txt
CHANGED
@@ -8,6 +8,13 @@ Include main headings for each slide, detailed bullet points for each slide.
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Add relevant, detailed content to each slide. When relevant, add one or two EXAMPLES to illustrate the concept.
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For two or three important slides, generate the key message that those slides convey.
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Identify if a slide describes a step-by-step/sequential process, then begin the bullet points with a special marker >>. Limit this to max two or three slides.
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Also, add at least one slide with a double column layout by generating appropriate content based on the description in the JSON schema provided below.
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In addition, for each slide, add image keywords based on the content of the respective slides.
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@@ -18,11 +25,12 @@ In this slide, each line of text will begin with the name of a relevant icon enc
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Insert icons only in this slide.
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Do not repeat any icons or the icons slide.
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20 |
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-
Your output, i.e., the content of each slide should be
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Each bullet point should be detailed and explanatory, not just short phrases.
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23 |
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ALWAYS add a concluding slide at the end, containing a list of the key takeaways and an optional call-to-action if relevant to the context.
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25 |
-
Unless explicitly
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### List of instructions:
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@@ -108,5 +116,10 @@ The output must be only a valid and syntactically correct JSON adhering to the f
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}}
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### Output:
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```json
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8 |
Add relevant, detailed content to each slide. When relevant, add one or two EXAMPLES to illustrate the concept.
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9 |
For two or three important slides, generate the key message that those slides convey.
|
10 |
|
11 |
+
The <ADDITIONAL_INFO> may provide additional information. If available, you should incorporate them while making the slides.
|
12 |
+
Read this information carefully. Based on the contents provided, plan the structure of the presentation.
|
13 |
+
For example, if it's a paper, you can consider having Problem, Solution, Experiments, and Results, among other sections.
|
14 |
+
If it's a product brochure, you can have Features, Changes, Operating Conditions, and likewise relevant sections.
|
15 |
+
Similarly, decide for other content types. Then appropriately incorporate the contents into the relevant slides, presenting in a useful way.
|
16 |
+
If <ADDITIONAL_INFO> is empty, ignore it.
|
17 |
+
|
18 |
Identify if a slide describes a step-by-step/sequential process, then begin the bullet points with a special marker >>. Limit this to max two or three slides.
|
19 |
Also, add at least one slide with a double column layout by generating appropriate content based on the description in the JSON schema provided below.
|
20 |
In addition, for each slide, add image keywords based on the content of the respective slides.
|
|
|
25 |
Insert icons only in this slide.
|
26 |
Do not repeat any icons or the icons slide.
|
27 |
|
28 |
+
Your output, i.e., the content of each slide should be vert detailed and descriptive but not way too verbose.
|
29 |
+
Avoid writing like a report, but also avoid very short bullet points with just 3-4 words.
|
30 |
Each bullet point should be detailed and explanatory, not just short phrases.
|
31 |
|
32 |
ALWAYS add a concluding slide at the end, containing a list of the key takeaways and an optional call-to-action if relevant to the context.
|
33 |
+
Unless explicitly instructed with the topic, create 10 to 12 slides. You must never create more than 15 to 20 slides.
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34 |
|
35 |
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36 |
### List of instructions:
|
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116 |
}}
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117 |
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118 |
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119 |
+
<ADDITIONAL_INFO>
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120 |
+
{additional_info}
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121 |
+
</ADDITIONAL_INFO>
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122 |
+
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123 |
+
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### Output:
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125 |
```json
|
requirements.txt
CHANGED
@@ -15,14 +15,15 @@ langchain-cohere==0.3.3
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15 |
langchain-together==0.3.0
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16 |
langchain-ollama==0.2.1
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17 |
langchain-openai==0.3.3
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18 |
-
streamlit~=1.
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19 |
|
20 |
python-pptx~=1.0.2
|
21 |
json5~=0.9.14
|
22 |
requests~=2.32.3
|
|
|
23 |
|
24 |
transformers>=4.48.0
|
25 |
-
torch
|
26 |
|
27 |
lxml~=4.9.3
|
28 |
tqdm~=4.66.5
|
|
|
15 |
langchain-together==0.3.0
|
16 |
langchain-ollama==0.2.1
|
17 |
langchain-openai==0.3.3
|
18 |
+
streamlit~=1.44.0
|
19 |
|
20 |
python-pptx~=1.0.2
|
21 |
json5~=0.9.14
|
22 |
requests~=2.32.3
|
23 |
+
pypdf~=5.4.0
|
24 |
|
25 |
transformers>=4.48.0
|
26 |
+
torch>=2.6.0
|
27 |
|
28 |
lxml~=4.9.3
|
29 |
tqdm~=4.66.5
|
strings.json
CHANGED
@@ -25,15 +25,16 @@
|
|
25 |
"image_info": "Got some more minutes? We are also trying to deliver an AI-generated art on the presentation topic, fresh off the studio, just for you!",
|
26 |
"content_generation_error": "Unfortunately, SlideDeck AI failed to generate any content for you! Please try again later.",
|
27 |
"json_parsing_error": "Unfortunately, SlideDeck AI failed to parse the response from LLM! Please try again by rephrasing the query or refreshing the page.",
|
28 |
-
"tos": "SlideDeck AI is an experimental prototype, and it has its limitations.\
|
29 |
"tos2": "By using SlideDeck AI, you agree to fair and responsible usage.\nNo liability assumed by any party.",
|
30 |
"ai_greetings": [
|
31 |
"How may I help you today?",
|
32 |
"Stuck with creating your presentation? Let me help you.",
|
33 |
"Looks like you have a looming deadline. Can I help you get started with your slide deck?",
|
34 |
"Hello! What topic do you have on your mind today?",
|
35 |
-
"Did you know that SlideDeck AI supports eight LLMs that
|
|
|
36 |
],
|
37 |
-
"chat_placeholder": "Write the topic or instructions here",
|
38 |
"like_feedback": "If you like SlideDeck AI, please consider leaving a heart ❤\uFE0F on the [Hugging Face Space](https://huggingface.co/spaces/barunsaha/slide-deck-ai/) or a star ⭐ on [GitHub](https://github.com/barun-saha/slide-deck-ai). Your [feedback](https://forms.gle/JECFBGhjvSj7moBx9) is appreciated."
|
39 |
}
|
|
|
25 |
"image_info": "Got some more minutes? We are also trying to deliver an AI-generated art on the presentation topic, fresh off the studio, just for you!",
|
26 |
"content_generation_error": "Unfortunately, SlideDeck AI failed to generate any content for you! Please try again later.",
|
27 |
"json_parsing_error": "Unfortunately, SlideDeck AI failed to parse the response from LLM! Please try again by rephrasing the query or refreshing the page.",
|
28 |
+
"tos": "SlideDeck AI is an experimental prototype, and it has its limitations.\nAI-generated content may be incorrect. Please carefully review and verify the contents.",
|
29 |
"tos2": "By using SlideDeck AI, you agree to fair and responsible usage.\nNo liability assumed by any party.",
|
30 |
"ai_greetings": [
|
31 |
"How may I help you today?",
|
32 |
"Stuck with creating your presentation? Let me help you.",
|
33 |
"Looks like you have a looming deadline. Can I help you get started with your slide deck?",
|
34 |
"Hello! What topic do you have on your mind today?",
|
35 |
+
"Did you know that SlideDeck AI supports eight LLMs that generate contents in different styles?",
|
36 |
+
"Did you know that SlideDeck AI can create a presentation based on any uploaded PDF file?"
|
37 |
],
|
38 |
+
"chat_placeholder": "Write the topic or instructions here. You can also upload a PDF file.",
|
39 |
"like_feedback": "If you like SlideDeck AI, please consider leaving a heart ❤\uFE0F on the [Hugging Face Space](https://huggingface.co/spaces/barunsaha/slide-deck-ai/) or a star ⭐ on [GitHub](https://github.com/barun-saha/slide-deck-ai). Your [feedback](https://forms.gle/JECFBGhjvSj7moBx9) is appreciated."
|
40 |
}
|