import os from google import genai from google.genai import types from PIL import Image from io import BytesIO import gradio as gr import PIL.Image API_KEY = os.getenv("GOOGLE_API_KEY") client = genai.Client(api_key=API_KEY) def edit_image_with_gemini(image, text_input): """ Edits an image using Gemini 2.0 Flash Experimental API based on a given text prompt. Parameters: image (PIL.Image): The input image. text_input (str): Text prompt describing the edit. Returns: A tuple of status message and the modified image (or None). """ if image is None or not text_input: return "Please upload an image and provide an edit prompt.", None # Wrap text_input in a tuple to match the expected format contents = [(text_input,), image] # Generate content with Gemini API response = client.models.generate_content( model="gemini-2.0-flash-exp-image-generation", contents=contents, config=types.GenerateContentConfig( response_modalities=['Text', 'Image'] ) ) # Extract and display the generated image for part in response.candidates[0].content.parts: if part.inline_data is not None: edited_image = Image.open(BytesIO(part.inline_data.data)) return "Here is your edited image:", edited_image return "No image was generated. Try modifying your prompt.", None # Gradio App with gr.Blocks(theme=gr.themes.Soft()) as demo: gr.Markdown("# ✨ AI-Powered Image Editor with Gemini 2.0 Flash Experimental") gr.Markdown("Upload an image and describe the edits you want!") with gr.Row(): image_input = gr.Image(type="pil", label="Upload Image") text_input = gr.Textbox(placeholder="Describe your edit...", label="Edit Prompt") output_text = gr.Textbox(label="Status", interactive=False) output_image = gr.Image(label="Edited Image") with gr.Row(): submit_btn = gr.Button("Generate Edit") clear_btn = gr.Button("Clear") text_input.submit(edit_image_with_gemini, [image_input, text_input], [output_text, output_image]) submit_btn.click(edit_image_with_gemini, [image_input, text_input], [output_text, output_image]) clear_btn.click(lambda: (None, None), None, [output_text, output_image]) # Launch the app if __name__ == "__main__": demo.launch(debug=True)