fix: Use image.image_bytes directly to resolve TypeError

app.py

@@ -120,16 +120,18 @@ The output must be a single image that looks like the completed infographic, mai
             if image := part.as_image():
                 # Convert google.genai.types.Image to PIL Image for Gradio
                 try:
-                    # Try saving to a bytes buffer
-                    img_buffer = io.BytesIO()
-                    image.save(img_buffer)
-                    img_buffer.seek(0)
-                    return Image.open(img_buffer)
-                except Exception:
-                    # Fallback: if save() doesn't accept buffer, try accessing bytes directly if possible
-                    if hasattr(image, '_image_bytes'):
-                         return Image.open(io.BytesIO(image._image_bytes))
-                    raise
+                    # The Google GenAI SDK's image.save() expects a path, not a buffer.
+                    # However, the object has an .image_bytes attribute we can use directly.
+                    if hasattr(image, 'image_bytes'):
+                        return Image.open(io.BytesIO(image.image_bytes))
+                    elif hasattr(image, '_image_bytes'):
+                        return Image.open(io.BytesIO(image._image_bytes))
+                    else:
+                        # If we can't find bytes, try saving to a temp file as a last resort
+                        # But likely one of the above will work based on the traceback
+                        raise ValueError("Could not extract bytes from GenAI Image object")
+                except Exception as e:
+                    raise gr.Error(f"Failed to process generated image: {e}")
         
         raise gr.Error("The model completed but did not return an image. Check inputs or safety filters.")
     
@@ -152,7 +154,7 @@ with gr.Blocks(title="Visual Minutes Generator") as demo:
                 label="Google API Key",
                 type="password",
                 placeholder="Enter your Google API Key",
-                info="Your API key is required to use the Gemini model"
+                info="Your API key is required to use the model"
             )
             
             transcript_input = gr.File(