nano-banana / app.py
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import gradio as gr
import fal_client
import os
from typing import Optional, List
from huggingface_hub import whoami
# It is recommended to create this as a Secret on your Hugging Face Space
# For example: FAL_KEY = "fal_key_..."
FAL_KEY = os.getenv("FAL_KEY", "")
# Set the key for the fal_client
if FAL_KEY:
fal_client.api_key = FAL_KEY
def get_fal_key():
"""Checks for the FAL_KEY and raises a Gradio error if it's not set."""
if not FAL_KEY:
raise gr.Error("FAL_KEY is not set. Please add it to your Hugging Face Space secrets.")
def single_image_generation(prompt: str, image: Optional[str] = None) -> str:
"""Handles text-to-image or single image-to-image."""
get_fal_key()
if image:
image_url = fal_client.upload_file(image)
result = fal_client.run(
"fal-ai/nano-banana/edit",
arguments={"prompt": prompt, "image_url": image_url},
)
else:
result = fal_client.run(
"fal-ai/nano-banana", arguments={"prompt": prompt}
)
return result["images"][0]["url"]
def multi_image_edit(prompt: str, images: List[str]) -> List[str]:
"""Handles multi-image editing."""
get_fal_key()
if not images:
raise gr.Error("Please upload at least one image in the 'Multiple Images' tab.")
output_images = []
for image_path in images:
image_url = fal_client.upload_file(image_path)
result = fal_client.run(
"fal-ai/nano-banana/edit",
arguments={"prompt": prompt, "image_url": image_url},
)
output_images.append(result["images"][0]["url"])
return output_images
# --- Gradio App UI ---
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.Markdown("# Nano Banana Image Generation")
gr.Markdown("Generate or edit images with FAL. **Sign in with Hugging Face to begin.**")
login_button = gr.LoginButton()
pro_message = gr.Markdown(visible=False)
main_interface = gr.Column(visible=False)
with main_interface:
gr.Markdown("## Welcome, PRO User!")
with gr.Row():
with gr.Column(scale=1):
prompt_input = gr.Textbox(
label="Prompt",
placeholder="A delicious looking pizza"
)
with gr.Tabs():
with gr.TabItem("Single Image", id="single"):
image_input = gr.Image(
type="filepath",
label="Input Image (Optional for text-to-image)"
)
with gr.TabItem("Multiple Images", id="multiple"):
gallery_input = gr.Gallery(
label="Input Images"
)
generate_button = gr.Button("Generate", variant="primary")
with gr.Column(scale=1):
# A single gallery can handle one or many images
output_gallery = gr.Gallery(label="Output")
def unified_generator(
prompt: str,
current_tab: str,
single_image: Optional[str],
multi_images: Optional[List[str]],
) -> List[str]:
"""
A single handler that routes to the correct function based on the active tab.
"""
if current_tab == "multiple":
return multi_image_edit(prompt, multi_images)
else: # Handles both text-to-image and single image-to-image
result_url = single_image_generation(prompt, single_image)
return [result_url]
# The `select` event on the tabs gives us the active tab's ID
selected_tab = gr.Textbox(value="single", visible=False)
for tab in demo.load_queue[0][0].children[1].children: # Hacky way to get tabs
if isinstance(tab, gr.Tab):
tab.select(lambda: tab.id, None, selected_tab)
generate_button.click(
unified_generator,
inputs=[prompt_input, selected_tab, image_input, gallery_input],
outputs=[output_gallery],
)
def control_access(
profile: Optional[gr.OAuthProfile] = None,
oauth_token: Optional[gr.OAuthToken] = None
):
"""Controls UI visibility based on user's PRO status."""
if not profile or not oauth_token:
return gr.update(visible=False), gr.update(visible=False)
try:
user_info = whoami(token=oauth_token.token)
if user_info.get("isPro", False):
return gr.update(visible=True), gr.update(visible=False)
else:
message = (
"## ✨ Exclusive Access for PRO Users\n\n"
"Thank you for your interest! This feature is available exclusively for our Hugging Face **PRO** members.\n\n"
"To unlock this and many other benefits, please consider upgrading your account.\n\n"
"### [**Become a PRO Member Today!**](https://huggingface.co/pro)"
)
return gr.update(visible=False), gr.update(visible=True, value=message)
except Exception as e:
gr.Warning(f"Could not verify user status: {e}")
return gr.update(visible=False), gr.update(visible=False)
demo.load(control_access, inputs=None, outputs=[main_interface, pro_message])
if __name__ == "__main__":
demo.launch()