Build and Run Streamlit Invoice Entity Extractor with Llama2| on CPU Machine|ALL OPEN SOURCE

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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

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Thank you so much for watching guys! I would highly appreciate it if you subscribe (turn on notifcation bell), like, and comment what else you want to see! Love y'all and have an amazing day.Thank you so much

DataEdge

Hi considering api-key cost reduction in long term
it is good way that a model is downloaded from hugging-face and use it on our local
OR
we can make api requests through open api-key to find an answer.
which one is good considering cost factor? Thank you

khalidkifayat

How is it possible to run it locally? I mean that invoice data is not being sent to Open AI?

kamilsaweta

I printed result, I got the following, it doesn't match with extraction in table. I didn't use stream streamlit and running my code in Jupyter Notebook hence didn't use streamlit. My question: Why I didn't get extraction as per video ?

Invoice : Perfect Construction
Qty : Quantity
Rate : Rate
Tax : Tax (12%)
Amount : Total

Output : entity : type
Invoice : Jayden Smith
Qty : Quantity
Rate : Rate
Tax : Tax (12%)
Amount : Total

Output : entity : type
Invoice : Micheal Owen
Qty : Quantity
Rate : Rate
Tax : Tax (120%)

sunilkulkarni

Hello for me it doesn't work, it says the the model is gated?What should i do?

RamatoulayeDiallo-xu

It takes a lot of time for extraction and table generation. Any other models which generate the table in seconds?

suryateja_

Build and Run Streamlit Invoice Entity Extractor with Llama2| on CPU Machine|ALL OPEN SOURCE

Build and Run Streamlit Invoice Entity Extractor with Llama2| on CPU Machine|ALL OPEN SOURCE

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