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from dotenv import load_dotenv
import streamlit as st
import os
from PIL import Image
import google.generativeai as genai
# Configure Google API key from environment variables
load_dotenv()
genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))
# Initialize the Generative Model
model = genai.GenerativeModel('gemini-pro-vision')
# Function to get Gemini response
def get_gemini_response(input, image, prompt):
response = model.generate_content([input, image[0], prompt])
return response.text
# Function to extract image details
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")
# Set page title and description
st.set_page_config(
page_title='Invoice AI Assistant',
page_icon=':money_with_wings:',
layout='wide',
initial_sidebar_state='collapsed'
)
# Page title and description
st.title('Welcome to Invoice AI Assistant!')
st.markdown('This app helps you analyze invoices using AI.')
# Input prompt textbox
input_prompt = st.text_input("Input prompt:", key="input")
# Apply CSS style to text input
st.markdown('<style>input[type="text"] {color: black;}</style>', unsafe_allow_html=True)
# File uploader for image selection
uploaded_file = st.file_uploader("Choose an image of the invoice", type=["jpg", "jpeg", "png"])
image = ""
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image, caption="Uploaded Image", use_column_width=True)
# Button to trigger invoice analysis
submit = st.button("Analyze Invoice")
# Perform analysis on button click
if submit:
# Extract image details
image_data = input_image_details(uploaded_file)
# Get response from Gemini model
response = get_gemini_response(input_prompt, image_data, input_prompt)
# Display response
st.subheader("The Response For Your Query is")
st.write(response)
# UI enhancements
st.markdown(
"""
<style>
.reportview-container {
background: linear-gradient(to bottom, #f2f2f2, #ffffff);
}
.sidebar .sidebar-content {
background: linear-gradient(to bottom, #f2f2f2, #ffffff);
}
.st-bk {
background-color: #ffffff;
}
.st-c5 {
color: #1b2d6b;
}
.stButton>button {
background-color: #1b2d6b !important;
color: white !important;
font-weight: bold;
border-radius: 5px;
}
.stButton>button:hover {
background-color: #0056b3 !important;
}
.stTextInput>div>div>input {
border-color: #1b2d6b !important;
}
.stTextInput>div>div>input:focus {
box-shadow: 0 0 0 0.2rem rgba(27, 45, 107, 0.25) !important;
border-color: #1b2d6b !important;
}
.stMarkdown a {
color: #1b2d6b !important;
}
</style>
""",
unsafe_allow_html=True
)
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