How To Read Invoice Data In Multi-Language Using Langchain

streamlitgoogle-generativeaipython-dotenvlangchainPyPDF2chromadb

import streamlit as stimport osfrom PIL import Imageimport google.generativeai as genai# Configure Gemini APIgenai.configure(api_key="your_key")# Function to load Gemini Pro Visionmodel = 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.textdef 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 configurationst.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 = Noneif 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 toanswer any questions based on the uploaded invoice image."""# If submit button is clickedif 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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