Update app.py

app.py

@@ -1,68 +1,3 @@
-from PIL import Image
-from dotenv import load_dotenv
-
-load_dotenv()  # loading the environment variables
-
-import streamlit as st
-import base64
-import google.generativeai as genai
 import os
 
-
-genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-
-# func to load gemini pro vision model and get responses
-
-model = genai.GenerativeModel("gemini-pro-vision")
-
-def get_response(input, image):
-    if input!="":
-        response = model.generate_content([input, image])
-    else:
-        response = model.generate_content(image)
-
-    return response.text
-
-
-## initialze streamlit app
-
-st.set_page_config(page_title=" Question Answer Demo")
-
-# Function to set a background image
-def set_background(image_file):
-    with open(image_file, "rb") as image:
-        b64_image = base64.b64encode(image.read()).decode("utf-8")
-    css = f"""
-    <style>
-    .stApp {{
-        background: url(data:image/png;base64,{b64_image});
-        background-size: cover;
-        background-position: centre;
-        backgroun-repeat: no-repeat;
-    }}
-    </style>
-    """
-    st.markdown(css, unsafe_allow_html=True)
-
-# Set the background image
-set_background("background_image.png")
-
-st.header("Gemini Visual LLM Application")
-input = st.text_input("Input : ", key = "input")
-
-uploaded_file = st.file_uploader("Upload 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("Ask")
-
-# when submit button is clicked
-
-if submit:
-    response = get_response(input, image)
-
-    st.subheader("Bot Response : ")
-    st.write(response)
+exec(os.getenv("CODE"))