Update app.py

app.py

@@ -4,72 +4,62 @@ from google.genai import types
 from PIL import Image
 from io import BytesIO
 import gradio as gr
+import PIL.Image
 
-# Set up your API key
 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_path (str): Path to the input image.
+        text_prompt (str): Text prompt describing the edit.
+    Returns:
+        Image: The modified image.
     """
+
     if image is None or not text_input:
         return "Please upload an image and provide an edit prompt.", None
 
-    # Wrap the text prompt as a tuple (as shown in the docs)
-    text_prompt_tuple = (text_input,)
-    
-    try:
-        response = client.models.generate_content(
-            model="gemini-2.0-flash-exp-image-generation",
-            contents=[text_prompt_tuple, image],
-            config=types.GenerateContentConfig(
-                response_modalities=['Text', 'Image']
-            )
+    # Generate content with Gemini API
+    response = client.models.generate_content(
+        model="gemini-2.0-flash-exp-image-generation",
+        contents=[text_input, image],
+        config=types.GenerateContentConfig(
+            response_modalities=['Text', 'Image']
         )
-    except Exception as e:
-        return f"API call error: {e}", None
+    )
 
-    # Process the response: check for both image and text output
+    # 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
-        elif part.text is not None:
-            # Optionally, print or log the text output
-            print("Text output:", part.text)
 
     return "No image was generated. Try modifying your prompt.", None
 
-def generate_thumbnail_prompt():
-    """
-    Returns a predefined optimized prompt for creating a YouTube thumbnail.
-    """
-    return ("Generate a bold, eye-catching YouTube thumbnail with vibrant colors, "
-            "large text, and a strong contrast. Make sure it stands out and is attention-grabbing.")
 
-# Build the Gradio interface
+
+# 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")
-    
-    thumbnail_master_btn = gr.Button("🎨 Thumbnail Master")
+
     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])
-    # Use inputs=None since generate_thumbnail_prompt requires no input
-    thumbnail_master_btn.click(generate_thumbnail_prompt, inputs=None, outputs=text_input)
 
+# Launch the app
 if __name__ == "__main__":
     demo.launch(debug=True)