Create app.py

app.py

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+import os
+from dotenv import load_dotenv
+import streamlit as st
+import google.generativeai as genai
+from PIL import Image
+
+## load the environment variables
+load_dotenv()
+
+## configure the google with apikey
+genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))
+
+#to get response from geminipro
+def get_response_gemini(input_prompt:str,image:dict):
+    model=genai.GenerativeModel('gemini-pro-vision')
+    response=model.generate_content([image,input_prompt])
+    return response.text
+
+#to get the image data
+def input_image_details(uploaded_file):
+    if uploaded_file is not None:
+        #Read the file into bytes
+        bytes_data=uploaded_file.getvalue()
+        
+        image_parts=[
+            {
+                'mime_type':uploaded_file.type,
+                'data': bytes_data
+            }
+        ]
+        return image_parts[0]
+    else:
+        raise FileNotFoundError('No file uploaded')
+    
+    
+# To read the input_prompt
+prompt=["""
+        You are a Calories Advisor app that helps users identify ingredients in a photo and provides calorie counts for 
+        those ingredients.
+
+Inputs:
+
+Photo: Users will upload a photo containing food items.
+
+Output:
+you will tell what the are the food items in the uploaded photo with calories value in form of bullet points and you
+should output a summary of the identified ingredients,
+whether it is nutritious or not based on the calories 
+also give the ratio of carbohydrates,fibers,cholesterol and others information present in tht photo
+        
+        """]
+
+## Streamlit app
+st.set_page_config(page_title="Calorie Advisor App")
+st.header('Calorie advisor app using Gemini Pro Vision')
+uploaded_file=st.file_uploader('Upload photo: ',type=['jpg','jpeg','png'])
+
+# Display the uploaded image
+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 this food')
+
+if submit:
+    if uploaded_file is not None:
+        image_data=input_image_details(uploaded_file)
+        response=get_response_gemini(image_data,prompt[0])
+        st.header('The response is: ')
+        st.write(response)
+    else:
+        st.subheader('Please upload the photo')