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from dotenv import load_dotenv |
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load_dotenv() |
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import streamlit as st |
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import os |
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import google.generativeai as genai |
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from PIL import Image |
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import pdfplumber |
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import io |
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import streamlit_pills as sp |
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) |
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model = genai.GenerativeModel("gemini-1.5-flash") |
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def get_gemini_response(input, image, prompt): |
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response = model.generate_content([input, image[0], prompt]) |
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return response.text |
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def input_image_setup(uploaded_img): |
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if uploaded_img is not None: |
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bytes_data = uploaded_img.getvalue() |
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image_parts = [ |
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{ |
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"mime_type": uploaded_img.type, |
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"data": bytes_data |
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} |
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] |
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return image_parts |
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else: |
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raise FileNotFoundError("Image not found") |
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def extract_text_from_pdf(pdf_file): |
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text = "" |
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with pdfplumber.open(pdf_file) as pdf: |
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for page in pdf.pages: |
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text += page.extract_text() |
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return text |
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def input_file_setup(uploaded_file): |
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if uploaded_file is not None: |
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if uploaded_file.type.startswith('image'): |
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bytes_data = uploaded_file.getvalue() |
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image_parts = [ |
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{ |
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"mime_type": uploaded_file.type, |
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"data": bytes_data |
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} |
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] |
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return image_parts |
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elif uploaded_file.type.startswith('application/pdf'): |
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text = extract_text_from_pdf(uploaded_file) |
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return [{"text": text}] |
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else: |
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raise ValueError("Unsupported file type") |
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else: |
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raise FileNotFoundError("File not found") |
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st.set_page_config(page_title="Invoice Information Extractor", page_icon="🔮") |
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st.title("Invoice Information Extractor 📃") |
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uploaded_file = st.file_uploader("Upload an Invoice Image 🖼️ or PDF 📄", type=["jpg", "jpeg", "png", "pdf"]) |
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selected = sp.pills(" Ask a question related to the invoice. Here are some example prompts:", |
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["What is the total amount?", |
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'What are the Customter details?' , |
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'What is the information about the Products?'], |
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clearable=True,index=None) |
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input_query = selected if selected else st.text_input("Ask a question about the invoice", key="input") |
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if uploaded_file is not None: |
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if uploaded_file.type.startswith('image'): |
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image = Image.open(uploaded_file) |
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st.image(image, caption="Image uploaded.", use_column_width=True) |
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elif uploaded_file.type.startswith('application/pdf'): |
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st.write("PDF uploaded.") |
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submit = st.button("Submit") |
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input_prompt = """ |
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You are an expert in understanding invoices. We will show you an invoice and you have to answer the following questions based on the invoice: |
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""" |
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if submit: |
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file_data = input_file_setup(uploaded_file) |
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response = get_gemini_response(input_prompt, file_data, input_query) |
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st.subheader("Response🤖:") |
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st.write(response) |
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