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app.py

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+### Health Management APP
+from dotenv import load_dotenv
+
+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
+        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="DDS Health App")
+
+st.header("DDS 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 the total calories & Nutirients")
+
+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
+               ----
+               ----
+               Total Calories
+
+Also mention about the important nutirnts like Protien , Carbohydrates and Fats  in each item
+
+        Put the  output in a tabular format with each item in a seperate 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)
+

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv
+langchain
+PyPDF2
+chromadb
+pdf2image
+faiss-cpu
+langchain_google_genai