In order to install and use this library to it's full capacity, you must follow these steps:

1. Install poppler with sudo apt-get install poppler-utils or brew install poppler on mac.

2. Install tesseract with sudo apt-get install tesseract-ocr-spa or brew install tesseract on mac.

3. Install the library with the command:

pip install git+https://github.com/IsaidMosqueda/arkham.git

If you want to run the model fine tunning, SFTTrainer library has a pending bug, where the tokenizer won't consider the max_lenght when creating the vector space when running the tokenizer function, to change that go to the file env/lib/python3.10/site-packages/trl/trainer/utils.py and replace the line 272 from:

tokenized_inputs = self.tokenizer(buffer, truncation=False)["input_ids"]

to:

tokenized_inputs = self.tokenizer(buffer, truncation=True,max_length=self.seq_length)["input_ids"]

If you want to get a hand at the user experience, take a look at the demo.ipynb, there you'll learn to use and manipulate the OCR functionalities as well as use the chatbot on any file you want, with a set of models to be used.

In the research folder you may find all the steps that lead to the definition of the modules, feel free to check them. Certain files are to big to be added, if any file is required please feel free to get it from here. In particular, you have to download the folder checkpoint-240 and store it on the directory you may be calling it, and the file CONTRATO...pdf to re run the OCR implementations, saving it as well on the directory from where you may be calling it.

If it's the first time that you run the ´falcon´model, it's necessary that you firstly install the falcon7b-Instruct model manually, to do that run the following code after installing the library:

from transformers import AutoModelForCausalLM,AutoTokenizer

model_id="tiiuae/falcon-7b-instruct"
tokenizer=AutoTokenizer.from_pretrained(model_id)
model=AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)

If you want to use the GPT3.5 model, make sure to have your OpenAI key loaded in your enviroment with the following name:

OPENAI_API_KEY = 'your key'