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| from dotenv import load_dotenv | |
| load_dotenv() # take environment variables from .env. | |
| import streamlit as st | |
| import os | |
| from PIL import Image | |
| import google.generativeai as genai | |
| os.getenv("GOOGLE_API_KEY") | |
| genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | |
| ## Function to load OpenAI model and get respones | |
| def get_gemini_response(input,image,prompt): | |
| model = genai.GenerativeModel('gemini-1.5-flash') | |
| response = model.generate_content([input,image[0],prompt]) | |
| return response.text | |
| def input_image_setup(uploaded_file): | |
| # Check if a file has been uploaded | |
| if uploaded_file is not None: | |
| # Read the file into bytes | |
| bytes_data = uploaded_file.getvalue() | |
| image_parts = [ | |
| { | |
| "mime_type": uploaded_file.type, # Get the mime type of the uploaded file | |
| "data": bytes_data | |
| } | |
| ] | |
| return image_parts | |
| else: | |
| raise FileNotFoundError("No file uploaded") | |
| ##initialize our streamlit app | |
| st.set_page_config(page_title="Gemini Image Demo") | |
| st.header("Multilingual Invoice Extractor") | |
| input=st.text_input("Input Prompt: ",key="input") | |
| uploaded_file = st.file_uploader("Choose an image of 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) | |
| submit=st.button("Tell me about the image") | |
| input_prompt=""" | |
| You are an expert in understanding invoices. We will upload a a image as invoice | |
| and you will have to answer any questions based on the uploaded invoice image. If the required information is not available in the uploaded image, | |
| say it and then try to answer according to your own capability. Also mention that the answer is according to your information. | |
| If the input prompt is not related to the invoice, mention it and then answer according to your capabilities. | |
| """ | |
| if submit: | |
| image_data = input_image_setup(uploaded_file) | |
| response=get_gemini_response(input_prompt,image_data,input) | |
| st.subheader("The Response is") | |
| st.write(response) |