Create app.py

app.py

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+import os
+import google.generativeai as genai
+import streamlit as st
+from dotenv import load_dotenv, find_dotenv
+from PIL import Image
+
+load_dotenv(find_dotenv())
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+def get_gemini_response(input, image):
+    model = genai.GenerativeModel("gemini-1.5-pro-latest")
+    response = model.generate_content([input,image[0]])
+    return response.text
+
+
+def input_image_setup(uploaded_file):
+    # check if a file has been uploaded
+    if uploaded_file is not None:
+        bytes_data = uploaded_file.getvalue()
+        image_parts = [
+            {
+                "mime_type": uploaded_file.type,
+                "data": bytes_data,
+            }
+        ]
+        return image_parts
+    else:
+        raise FileNotFoundError("No file uploaded")
+
+
+st.set_page_config(page_title="Vaibhav's Nutrition Monitor", page_icon="🔮")
+st.header("Vaibhav's Nutrition Monitor")
+# input=st.text_input("Input Prompt: ",key="input")
+uploaded_file = st.file_uploader("Upload an image of the food item", 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 about total calories")
+
+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
+               ----
+               ----
+
+Finally you can also mention whether the food is healthy or not. Mention the percentage
+split of protein, carbs and fats in the food item. Mention total fiber content in the food item.
+Also mention any other important details about the food item.
+
+"""
+
+## If submit button is clicked
+
+if submit:
+    image_data=input_image_setup(uploaded_file)
+    response= get_gemini_response(input_prompt,image_data)    
+    st.subheader("Food Analysis:")
+    st.write(response)