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### Health Management APP | |
from dotenv import load_dotenv #to get the key | |
load_dotenv() ## load all the environment variables | |
import streamlit as st | |
import os | |
import google.generativeai as genai | |
from PIL import Image | |
genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | |
## Function to load Google Gemini Pro Vision API And get response | |
def get_gemini_repsonse(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, image into numbers | |
bytes_data = uploaded_file.getvalue() | |
image_parts = [ #In dic format | |
{ | |
"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="Nutrition and Calories Manager App") | |
st.header("Nutrition and Calories Manager App") | |
input=st.text_input("Input Prompt: ",key="input") | |
uploaded_file = st.file_uploader("Choose an image...", 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("CHECK") | |
input_prompt=""" | |
You are an expert in nutritionist where you need to see the food items from the image | |
and calculate the total calories, also provide the details of every food item with calories intake | |
is below format | |
1. Item 1 -no of calories | |
2. Item 2 -no of calories | |
---- | |
---- | |
Total Calories | |
Also mention about the important nutrients like Protein , Carbohydrates and Fats in each item | |
Put the output in a tabular format with each item in a separate row and details in columns | |
""" | |
## If submit button is clicked | |
if submit: | |
image_data=input_image_setup(uploaded_file) | |
response=get_gemini_repsonse(input_prompt,image_data,input) | |
st.subheader("The Response is") | |
st.write(response) | |