Build and Run Streamlit Invoice Entity Extractor with Llama2| on CPU Machine|ALL OPEN SOURCE
Manually handling invoices can consume significant time and lead to inaccuracies. Yet, by harnessing the natural language processing features of LangChain along with the advanced AI models(llama2) and Streamlit interface , you have the ability to optimize the extraction of important details from invoices. This optimization not only improves accuracy but also saves precious time.
I'll walk you through the stages of extracting crucial data from invoices using LangChain's robust document loading capabilities and llama2 model. Subsequently, I'll illustrate the method of elevating the extraction process by integrating llama2's language models and a Streamlit User Interface.
#ai #langchain #llama2 #chatgpt #llm #streamlit
Github code:https://github.com/InsightEdge01/Invo...
Huggingface model:https://huggingface.co/TheBloke/Llama...
Buy me Coffee:https://www.buymeacoffee.com/DataInsi...