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import streamlit as st
import os
from PIL import Image
import google.generativeai as genai
genai.configure(api_key="AIzaSyBSZnVeYrFNKdy4nKF9r5nOFsvD_-70Z8k")
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_details(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="Multilanguage Invoice Extractor")
st.header("Multilanguage Invoice Extractor")
uploaded_file = st.file_uploader("Choose an image of the invoice...", type=["jpg","jpeg"])
image=""
if uploaded_file is not None:
image=Image.open(uploaded_file)
st.image(image,caption="Uploaded Image", use_column_width=True)
input = st.text_input("Enter the question about Invoice image", key="input")
submit=st.button("Extract the information from 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)
st.subheader("The response is")
st.write(response)
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