import streamlit as st from PIL import Image import google.generativeai as genai import io import os # Configure Google Gemini API (replace with your actual API key) GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY") if not GOOGLE_API_KEY: st.error("Please set the GOOGLE_API_KEY environment variable.") st.stop() genai.configure(api_key=GOOGLE_API_KEY) # Function to generate the modified image def generate_modified_image(uploaded_image, background_description): try: model = genai.GenerativeModel('gemini-pro-vision') image_parts = [ {"mime_type": uploaded_image.type, "data": uploaded_image.getvalue()} ] prompt_parts = [ "You are an AI that can modify the background of an image based on a text description.", "Here is the image:", image_parts, f"Modify the background of this image to: '{background_description}'. Be creative and make the new background look realistic and integrated with the foreground.", "Output only the modified image." ] response = model.generate_content(prompt_parts, stream=False) response.resolve() if response and hasattr(response, 'parts') and len(response.parts) > 0: image_bytes = response.parts[-1].data['image/png'] # Assuming the output is PNG return Image.open(io.BytesIO(image_bytes)) else: st.error("Failed to generate the modified image.") return None except Exception as e: st.error(f"An error occurred: {e}") return None # Streamlit web app st.title("Image Background Modifier") uploaded_file = st.file_uploader("Upload an image...", type=["png", "jpg", "jpeg"]) background_text = st.text_area("Describe the desired background:", "") if uploaded_file is not None and background_text: if st.button("Modify Background"): with st.spinner("Generating modified image..."): modified_image = generate_modified_image(uploaded_file, background_text) if modified_image: st.image(modified_image, caption="Modified Image", use_column_width=True) else: st.info("Please upload an image and describe the desired background.")