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7110704
1
Parent(s):
8c3ae58
added simple api call
Browse files- .gitignore +0 -0
- app.py +25 -0
- requirements.txt +6 -0
- utils.py +67 -0
.gitignore
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app.py
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import os
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import streamlit as st
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import utils
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# Set up the sidebar
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# Ask the user for an API key in the sidebar
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os.environ["OPENAI_API_KEY"] = st.sidebar.text_input("OpenAI API Key", type="password")
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# Main body of the app
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# Display a title
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st.title("Invoice Data Extractor")
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if os.environ["OPENAI_API_KEY"] == "":
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disable_file_uploader = True
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st.error('Kindly enter OpenAI API key')
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else:
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disable_file_uploader = False
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# Add a file uploader widget
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uploaded_file = st.file_uploader("Upload invoice image", type=['png', 'jpg'], disabled=disable_file_uploader)
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if uploaded_file is not None:
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response = utils.pass_to_openai_vision_api(uploaded_file)
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st.write('Data extracted from invoice is ')
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st.write(response)
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requirements.txt
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streamlit==1.25.0
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llama-index-callbacks-wandb
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llama-index-llms-openai
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llama-index-multi-modal-llms-openai
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openai
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matplotlib
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utils.py
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import base64
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import requests
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import os
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def pass_to_openai_vision_api(image):
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# OpenAI API Key
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api_key = os.environ["OPENAI_API_KEY"]
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# Getting the base64 string
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base64_image = base64.b64encode(image.read()).decode('utf-8')
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_key}"
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}
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gpt_prompt='''Above is the text extracted from an invoice.
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You are an assistant tasked with extracting information from the invoice. Do this step by step.
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1. First extract the date and due date.
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2. Then assign it a category (e.g Food).
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3. Extract the invoice number and vendor account number.
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4. Extract the total amount.
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5. Extract the items along with their name, quantity and individual price.
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Output should only contain a dictionary in the following format
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{
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"Date": None,
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"Due Date": None,
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"Category": None,
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"Invoice Number": None,
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"Vendor Account Number": None,
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"Total Amount": None,
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"Items": [
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{
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"Item": None,
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"Quantity": None,
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"Individual Price": None
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}
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]
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}
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If a key is not mentioned in invoice or you dont understand, then make its value None
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'''
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payload = {
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"model": "gpt-4-vision-preview",
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": gpt_prompt
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},
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/jpeg;base64,{base64_image}"
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}
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}
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]
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}
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],
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"max_tokens": 300 # To be investigated
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}
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response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
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return response.json()['choices'][0]['message']['content']
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