app.py

from dotenv import load_dotenv

load_dotenv()

import streamlit as st
import os

from PIL import Image
import google.generativeai as genai

#configuring API key

genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

def get_gemini_response(user_input,image,prompt):
    model=genai.GenerativeModel('gemini-2.5-flash')
    response=model.generate_content([user_input, image[0], prompt])
    return response.text

def input_image_setup(uploaded_file):
    if uploaded_file is not None:
        bytes_data = uploaded_file.getvalue()

        image_parts = [
            {
            "mime_type": uploaded_file.type,
            "data": bytes_data
            }
        ]
        return image_parts
    else:
        raise FileNotFoundError("No file uploaded")
    
st.set_page_config(page_title="Gemini API testing")

st.header("Gemini Application")
user_input = st.text_input("Input Prompt", key = "input")
uploaded_file = st.file_uploader("Choose an Image...", type=["jpg", "jpeg", "png"])
image = ""
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, you will receive
input images as invoices and you will have to answer questions based 
on the input image

"""

if submit:
    image_data = input_image_setup(uploaded_file)
    response=get_gemini_response(user_input, image_data, input_prompt)
    
    st.subheader("The response is ")
    st.write(response)