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app.py

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+import streamlit as st 
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+load_dotenv()
+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):
+
+    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")
+    
+
+#initialize the streamlit app
+    
+st.set_page_config(page_title="Vijay: Food App 👨‍⚕️")
+
+st.header("Vijay: Food App 👨‍⚕️")
+st.subheader("Powered By Gemini")
+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 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_response(input_prompt,image_data,input)
+    st.subheader("The Response is")
+    st.write(response)
+    

requirements.txt

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+streamlit
+google.generativeai
+python-dotenv