app.py

from dotenv import load_dotenv
from streamlit_extras.add_vertical_space import add_vertical_space
import streamlit as st
import os
from PIL import Image
#load_dotenv()  # take environment variables from .env.

import google.generativeai as genai

#os.getenv("GOOGLE_API_KEY")
#genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

## Function to load Gemini Pro Vision model and get respones
def get_gemini_response(input,image,prompt):
    model = genai.GenerativeModel('gemini-pro-vision')
    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="GeminiPro Code Explanation")

with st.sidebar:
    st.title('🤗Code Explanation')
    st.markdown('''
    ## About
    GeminiPro based chatbot built using:
    - [Gemini Pro](https://deepmind.google/technologies/gemini/pro/) LLM model                
    - [Streamlit](https://streamlit.io/)
    ''')
    add_vertical_space(5)
    st.write('Made with ❤️ by Harry')

st.header("Gemini Application")
input=st.text_input("Input Prompt: ",key="input")
uploaded_file = st.file_uploader("Choose an image contains a snippet of your code...", 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 what the code is doing")

input_prompt = """
               You are an expert in algorithms and can explain different code
               """

## If ask button is clicked

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)