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| ### Health Management APP | |
| import streamlit as st | |
| import os | |
| import google.generativeai as genai | |
| from PIL import Image | |
| genai.configure(api_key=os.environ['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-2.5-pro') | |
| 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="Health App 👨⚕️") | |
| st.header("🎊 Health 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("Tell me") | |
| 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 items with calories intake | |
| is below format | |
| 1. Item 1 - no of calories | |
| 2. Item 2 - no of calories | |
| ---- | |
| ---- | |
| """ | |
| ## 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) | |
| footer = """ | |
| --- | |
| #### Made By [Surat Banerjee](https://www.linkedin.com/in/surat-banerjee/) | |
| """ | |
| st.markdown(footer, unsafe_allow_html=True) | |