Create app.py

app.py

@@ -0,0 +1,61 @@
+import streamlit as st
+import os
+from PIL import Image
+import google.generativeai as genai
+
+genai.configure(api_key="API KEy")  
+
+# Load the Gemini model
+model = genai.GenerativeModel('gemini-1.5-flash')
+
+# Function to get response from Gemini AI
+def get_gemini_response(input_text, image, user_prompt):
+    response = model.generate_content([input_text, image[0], user_prompt])
+    return response.text
+
+# Function to process uploaded image
+def input_image_details(uploaded_file):
+    if uploaded_file is not None:
+        bytes_data = uploaded_file.getvalue()  # Read the file into bytes
+        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")
+
+# Streamlit UI
+st.set_page_config(page_title='Food Analysis')
+st.header('Food Analysis')
+
+# User input
+input_text = st.text_input("Input Prompt:", key="input")
+
+# File uploader
+uploaded_file = st.file_uploader("Choose an image of the food...", type=["jpg", "jpeg", "png"])
+
+if uploaded_file is not None:
+    img = Image.open(uploaded_file)
+    st.image(img, caption="Uploaded Image", use_column_width=True)
+
+# AI Prompt
+input_prompt = (
+    "You are an expert microbiologist who has worked for more than 30 years. "
+    "We will upload an image of food, and you will have to answer any questions based on the uploaded image in 20 words."
+)
+
+# Submit button
+submit = st.button("SUBMIT")
+
+if submit:
+    if uploaded_file is not None:
+        image_data = input_image_details(uploaded_file)
+        response = get_gemini_response(input_prompt, image_data, input_text)
+        
+        st.subheader("The Response is:")
+        st.write(response)
+    else:
+        st.warning("Please upload an image before submitting.")