extract.in

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### The input file to control the calculation details of PropertyExtract    ###
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# Type of LLM model: gemini/chatgpt 
model_type = gemini
# LLM model name: gemini-pro/gpt-4
model_name = gemini-pro
# Property to extract from texts
property = thickness
# Harmonized unit for the property to be extracted
property_unit = Angstrom
# temperature to max_output_tokens are LLM model parameters
temperature = 0.0
top_p = 0.95
max_output_tokens = 80
# You can supply additional keywords to be used in conjunction with the property: modify the file keywords.json
use_keywords = True
# You can add additional custom prompts: modify the file additionalprompt.txt
additional_prompts = additionalprompt.txt  
# Name of input file to be processed: csv/excel format     
inputfile_name = inputfile.csv
# Column name in the input file to be processed
column_name = Text
# Name of output file
outputfile_name = outputfile.csv