How To Read Invoice Data In Multi-Language Using Langchain

streamlit
google-generativeai
python-dotenv
langchain
PyPDF2
chromadb

import streamlit as st
import os
from PIL import Image
import google.generativeai as genai

# Configure Gemini API
genai.configure(api_key="your_key")

# Function to load Gemini Pro Vision
model = genai.GenerativeModel("gemini-3.6-flash")


def get_gemini_response(input_text, image, prompt):
    response = model.generate_content([input_text, image[0], prompt])
    return response.text


def input_image_details(uploaded_file):
    if uploaded_file is not None:
        # Read the file into bytes
        bytes_data = uploaded_file.getvalue()

        image_parts = [
            {
                "mime_type": uploaded_file.type,
                "data": bytes_data
            }
        ]

        return image_parts

    else:
        raise FileNotFoundError("No file uploaded")


# Streamlit page configuration
st.set_page_config(page_title="Multilanguage Invoice Extractor")

st.header("Gemini Application")

input_text = st.text_input(
    "Input Prompt:",
    key="input"
)

uploaded_file = st.file_uploader(
    "Choose an image of invoice...",
    type=["jpg", "jpeg", "png"]
)

image = None

if uploaded_file is not None:
    image = Image.open(uploaded_file)

    st.image(
        image,
        caption="Uploaded Image.",
        use_container_width=True
    )


submit = st.button("Tell me about the invoice")


input_prompt = """
You are an expert in understanding invoices.
We will upload an image as an invoice and you will have to
answer any questions based on the uploaded invoice image.
"""


# If submit button is clicked
if submit:
    image_data = input_image_details(uploaded_file)

    response = get_gemini_response(
        input_prompt,
        image_data,
        input_text
    )

    st.subheader("The Response is")
    st.write(response)

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