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app.py

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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
+)

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv
+langchain
+PyPDF2
+chromadb