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import logging
import os
from dataclasses import dataclass
from dotenv import load_dotenv
load_dotenv()
@dataclass(frozen=True)
class GlobalConfig:
HF_LLM_MODEL_NAME = 'mistralai/Mistral-7B-Instruct-v0.2'
LLM_MODEL_TEMPERATURE: float = 0.2
LLM_MODEL_MIN_OUTPUT_LENGTH: int = 50
LLM_MODEL_MAX_OUTPUT_LENGTH: int = 2000
LLM_MODEL_MAX_INPUT_LENGTH: int = 100
HUGGINGFACEHUB_API_TOKEN = os.environ.get('HUGGINGFACEHUB_API_TOKEN', '')
METAPHOR_API_KEY = os.environ.get('METAPHOR_API_KEY', '')
LOG_LEVEL = 'DEBUG'
APP_STRINGS_FILE = 'strings.json'
PRELOAD_DATA_FILE = 'examples/example_02.json'
SLIDES_TEMPLATE_FILE = 'langchain_templates/template_combined.txt'
JSON_TEMPLATE_FILE = 'langchain_templates/text_to_json_template_02.txt'
CHAT_TEMPLATE_FILE = 'langchain_templates/template_combined_chat_history.txt'
PPTX_TEMPLATE_FILES = {
'Blank': {
'file': 'pptx_templates/Blank.pptx',
'caption': 'A good start'
},
'Ion Boardroom': {
'file': 'pptx_templates/Ion_Boardroom.pptx',
'caption': 'Make some bold decisions'
},
'Urban Monochrome': {
'file': 'pptx_templates/Urban_monochrome.pptx',
'caption': 'Marvel in a monochrome dream'
}
}
CHAT_USAGE_INSTRUCTIONS = (
'Briefly describe your topic of presentation in the textbox provided below.'
' Subsequently, you can add follow-up instructions, e.g., "Can you add a slide on GPUs?"'
' You can also ask AI to refine any particular slide, e.g., "Make the slide with title'
' \'Examples of AI\' a bit more descriptive."'
'\n\n'
'SlideDeck AI generates only text content. It does not have access to the Internet.'
)
logging.basicConfig(
level=GlobalConfig.LOG_LEVEL,
format='%(asctime)s - %(levelname)s - %(name)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
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