Upload 3 files

.env

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+GOOGLE_API_KEY="AIzaSyAJjp2hRJBGsei-o6kfvnZ8EeKkXl4-XuI"

app.py

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+import streamlit as st
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+load_dotenv() # loading all the environment variables
+from PIL import Image
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+def get_gemini_response(input_prompt,image):
+    model=genai.GenerativeModel('gemini-pro-vision')
+    response=model.generate_content([input_prompt,image[0]])
+    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="Calorie Advisor App")
+
+st.header("Calorie Advisor App")
+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 about the total calories")
+
+input_prompt="""
+You are an expert in nutrition. You need to see the food items from the image 
+                and calculate the total calories. Provide the details of every 
+                food item with calories intake in below format
+                
+                1. Item 1 - no. of calories
+                2. Item 2 - no. of calories
+                ----
+                ----
+        Finally, mention whether the food is health or not and also mention the
+        percentage split of carbohydrates,proteins,fats,fibers,sugar and other
+        things required in our diet.
+
+"""
+
+if submit:
+    image_data=input_image_setup(uploaded_file)
+    response=get_gemini_response(input_prompt,image_data)
+    st.header("The Response is")
+    st.write(response)

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv