app.py

import os
from dotenv import load_dotenv
import streamlit as st
import google.generativeai as genai
from PIL import Image

## load the environment variables
load_dotenv()

## configure the google with apikey
genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))

#to get response from geminipro
def get_response_gemini(input_prompt:str,image:dict):
    model=genai.GenerativeModel('gemini-pro-vision')
    response=model.generate_content([image,input_prompt])
    return response.text

#to get the image data
def input_image_details(uploaded_file):
    if uploaded_file is not None:
        #Read the file into bytes
        bytes_data=uploaded_file.getvalue()
        
        image_parts=[
            {
                'mime_type':uploaded_file.type,
                'data': bytes_data
            }
        ]
        return image_parts[0]
    else:
        raise FileNotFoundError('No file uploaded')
    
    
# To read the input_prompt
prompt=["""
        You are a Calories Advisor app that helps users identify ingredients in a photo and provides calorie counts for 
        those ingredients.

Inputs:

Photo: Users will upload a photo containing food items.

Output:
you will tell what the are the food items in the uploaded photo with calories value in form of bullet points and you
should output a summary of the identified ingredients,
whether it is nutritious or not based on the calories 
also give the ratio of carbohydrates,fibers,cholesterol and others information present in tht photo
        
        """]

## Streamlit app
st.set_page_config(page_title="Calorie Advisor App")
st.header('Calorie advisor app using Gemini Pro Vision')
uploaded_file=st.file_uploader('Upload photo: ',type=['jpg','jpeg','png'])

# Display the uploaded image
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 this food')

if submit:
    if uploaded_file is not None:
        image_data=input_image_details(uploaded_file)
        response=get_response_gemini(image_data,prompt[0])
        st.header('The response is: ')
        st.write(response)
    else:
        st.subheader('Please upload the photo')