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#AIzaSyBSA2bVH9C5uO4mwVE3OS12YMKa5D9AR1Q
from dotenv import load_dotenv
load_dotenv() #load all environment variables from .env
import streamlit as st
from PIL import Image
import google.generativeai as genai
import os
genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
model = genai.GenerativeModel('gemini-pro-vision')
def get_gemini_response(input,image,prompt):
response=model.generate_content([input,image[0],prompt])
return response.text
def input_image_seetup(uploaded_file):
if uploaded_file is not None:
byte_data = uploaded_file.getvalue()
imaage_parts = [
{
"mime_type":uploaded_file.type,
"data" : byte_data
}
]
return imaage_parts
else:
raise FileNotFoundError("No file uploaded")
st.set_page_config(page_title="MultiLanguage Invoice Extractor")
st.header('Gemini Application')
input=st.text_input("Input Prompt: ",key="Input")
uploaded_file = st.file_uploader('Choose an image.. ',type=["jpg","png","jpeg"])
image = ""
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image,caption="Uploaded Image",use_column_width=True)
submit = st.button("Tell me about the invoice")
input_prompt="""
You are an expert in understanding invoices. We will upload a image as invoice and you will have to answer any questions based on the uploaded invoice image"""
if submit:
image_data =input_image_seetup(uploaded_file)
response=get_gemini_response(input_prompt,image_data,input)
st.subheader("The Response is")
st.write(response) |