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from turtle import up
from dotenv import load_dotenv
import streamlit as st
import os
from PIL import Image
import google.generativeai as genai
load_dotenv()
genai.configure(api_key = os.getenv('GOOGLE_API_KEY'))
model = genai.GenerativeModel('gemini-pro-vision')
def get_response(input, image, prompt):
response = model.generate_content([input, image[0], prompt])
return response.parts
def input_image_setup(image):
if image is not None:
data = image.getvalue()
image_data = [
{
"mime_type": image.type,
"data": data
}
]
return image_data
else:
raise FileNotFoundError("NO FILE UPLOADED.")
st.set_page_config('Invoice Extractor')
st.header('Gemini Application')
prompt = st.text_input("Enter Prompt : " , key='prompt_input')
input = st.text_input("what do you want to know : " , key='user_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, use_column_width=True)
submit = st.button("Tell me about the image")
if submit:
image_data = input_image_setup(uploaded_file)
response = get_response(input=input, image=image_data, prompt=prompt)
st.subheader("The response is : ")
st.write(response)
# You are an expert food analyst
# List all food items shown in image
# You are an invoice extractor
# what is total amount
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