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import gradio as gr
import replicate
import os
from PIL import Image
import requests
from io import BytesIO
import time
import tempfile
import base64
# Set up Replicate API key from environment variable
os.environ['REPLICATE_API_TOKEN'] = os.getenv('REPLICATE_API_TOKEN')
def upload_image_to_hosting(image):
"""
Upload image to multiple hosting services with fallback
"""
# Method 1: Try imgbb.com (most reliable)
try:
buffered = BytesIO()
image.save(buffered, format="PNG")
buffered.seek(0)
img_base64 = base64.b64encode(buffered.getvalue()).decode()
response = requests.post(
"https://api.imgbb.com/1/upload",
data={
'key': '6d207e02198a847aa98d0a2a901485a5',
'image': img_base64,
}
)
if response.status_code == 200:
data = response.json()
if data.get('success'):
return data['data']['url']
except:
pass
# Method 2: Try 0x0.st (simple and reliable)
try:
buffered = BytesIO()
image.save(buffered, format="PNG")
buffered.seek(0)
files = {'file': ('image.png', buffered, 'image/png')}
response = requests.post("https://0x0.st", files=files)
if response.status_code == 200:
return response.text.strip()
except:
pass
# Method 3: Fallback to base64
buffered = BytesIO()
image.save(buffered, format="PNG")
buffered.seek(0)
img_base64 = base64.b64encode(buffered.getvalue()).decode()
return f"data:image/png;base64,{img_base64}"
def process_images(prompt, image1, image2=None):
"""
Process with Nano Banana - works with or without images
"""
if not os.getenv('REPLICATE_API_TOKEN'):
return None, "Please set REPLICATE_API_TOKEN"
try:
# Prepare input for Nano Banana model
model_input = {
"prompt": prompt
}
# Only add image_input if images are provided
if image1 or image2:
image_urls = []
if image1:
url1 = upload_image_to_hosting(image1)
image_urls.append(url1)
if image2:
url2 = upload_image_to_hosting(image2)
image_urls.append(url2)
model_input["image_input"] = image_urls
status_msg = "✨ Generated with style transfer!"
else:
# No images - text-only generation with Nano Banana
status_msg = "✨ Generated from text!"
# Run Nano Banana model (it should handle both cases)
output = replicate.run(
"google/nano-banana",
input=model_input
)
if output is None:
return None, "No output received"
# Get the generated image
try:
if hasattr(output, 'read'):
img_data = output.read()
img = Image.open(BytesIO(img_data))
return img, status_msg
except:
pass
try:
if hasattr(output, 'url'):
output_url = output.url()
response = requests.get(output_url, timeout=30)
if response.status_code == 200:
img = Image.open(BytesIO(response.content))
return img, status_msg
except:
pass
output_url = None
if isinstance(output, str):
output_url = output
elif isinstance(output, list) and len(output) > 0:
output_url = output[0]
if output_url:
response = requests.get(output_url, timeout=30)
if response.status_code == 200:
img = Image.open(BytesIO(response.content))
return img, status_msg
return None, "Could not process output"
except Exception as e:
error_msg = str(e)
if "image_input" in error_msg.lower():
# If the model requires images, provide a helpful message
return None, "Note: This model may require at least one image. Try uploading an image or check the error: " + error_msg[:100]
return None, f"Error: {error_msg[:100]}"
# Enhanced CSS with modern, minimal design
css = """
.gradio-container {
background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
min-height: 100vh;
}
.header-container {
background: linear-gradient(135deg, #ffd93d 0%, #ffb347 100%);
padding: 2.5rem;
border-radius: 24px;
margin-bottom: 2.5rem;
box-shadow: 0 20px 60px rgba(255, 179, 71, 0.25);
}
.logo-text {
font-size: 3.5rem;
font-weight: 900;
color: #2d3436;
text-align: center;
margin: 0;
letter-spacing: -2px;
}
.subtitle {
color: #2d3436;
text-align: center;
font-size: 1rem;
margin-top: 0.5rem;
opacity: 0.8;
}
.mode-indicator {
background: rgba(255, 255, 255, 0.3);
backdrop-filter: blur(10px);
border-radius: 12px;
padding: 0.5rem 1rem;
margin-top: 1rem;
text-align: center;
font-weight: 600;
color: #2d3436;
}
.main-content {
background: rgba(255, 255, 255, 0.95);
backdrop-filter: blur(20px);
border-radius: 24px;
padding: 2.5rem;
box-shadow: 0 10px 40px rgba(0, 0, 0, 0.08);
}
.gr-button-primary {
background: linear-gradient(135deg, #ffd93d 0%, #ffb347 100%) !important;
border: none !important;
color: #2d3436 !important;
font-weight: 700 !important;
font-size: 1.1rem !important;
padding: 1.2rem 2rem !important;
border-radius: 14px !important;
transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1) !important;
text-transform: uppercase;
letter-spacing: 1px;
width: 100%;
margin-top: 1rem !important;
}
.gr-button-primary:hover {
transform: translateY(-3px) !important;
box-shadow: 0 15px 40px rgba(255, 179, 71, 0.35) !important;
}
.gr-input, .gr-textarea {
background: #ffffff !important;
border: 2px solid #e1e8ed !important;
border-radius: 14px !important;
color: #2d3436 !important;
font-size: 1rem !important;
padding: 0.8rem 1rem !important;
}
.gr-input:focus, .gr-textarea:focus {
border-color: #ffd93d !important;
box-shadow: 0 0 0 4px rgba(255, 217, 61, 0.15) !important;
}
.gr-form {
background: transparent !important;
border: none !important;
}
.gr-panel {
background: #ffffff !important;
border: 2px solid #e1e8ed !important;
border-radius: 16px !important;
padding: 1.5rem !important;
}
.gr-box {
border-radius: 14px !important;
border-color: #e1e8ed !important;
}
label {
color: #636e72 !important;
font-weight: 600 !important;
font-size: 0.85rem !important;
text-transform: uppercase;
letter-spacing: 0.5px;
margin-bottom: 0.5rem !important;
}
.status-text {
font-family: 'SF Mono', 'Monaco', monospace;
color: #00b894;
font-size: 0.9rem;
}
.image-container {
border-radius: 14px !important;
overflow: hidden;
border: 2px solid #e1e8ed !important;
background: #fafbfc !important;
}
footer {
display: none !important;
}
/* Equal sizing for all image containers */
.image-upload {
min-height: 200px !important;
max-height: 200px !important;
}
.output-image {
min-height: 420px !important;
max-height: 420px !important;
}
/* Ensure consistent spacing */
.gr-row {
gap: 1rem !important;
}
.gr-column {
gap: 1rem !important;
}
.info-box {
background: linear-gradient(135deg, #e3f2fd 0%, #bbdefb 100%);
border-radius: 12px;
padding: 1rem;
margin-bottom: 1rem;
border-left: 4px solid #2196f3;
}
"""
with gr.Blocks(css=css, theme=gr.themes.Base()) as demo:
with gr.Column(elem_classes="header-container"):
gr.HTML("""
<h1 class="logo-text">🍌 Free Nano Banana</h1>
<p class="subtitle">AI-Powered Image Generation & Style Transfer</p>
<div class="mode-indicator">
💡 Works with or without images - Just describe what you want!
</div>
<div style="display: flex; justify-content: center; align-items: center; gap: 10px; margin-top: 20px;">
<a href="https://huggingface.co/spaces/ginigen/Nano-Banana-PRO" target="_blank">
<img src="https://img.shields.io/static/v1?label=NANO%20BANANA&message=PRO&color=%230000ff&labelColor=%23800080&logo=HUGGINGFACE&logoColor=white&style=for-the-badge" alt="badge">
</a>
<a href="https://huggingface.co/spaces/openfree/Nano-Banana-Upscale" target="_blank">
<img src="https://img.shields.io/static/v1?label=NANO%20BANANA&message=UPSCALE&color=%230000ff&labelColor=%23800080&logo=GOOGLE&logoColor=white&style=for-the-badge" alt="Nano Banana Upscale">
</a>
<a href="https://huggingface.co/spaces/aiqtech/Nano-Banana-API" target="_blank">
<img src="https://img.shields.io/static/v1?label=NANO%20BANANA&message=API&color=%230000ff&labelColor=%23800080&logo=GOOGLE&logoColor=white&style=for-the-badge" alt="Nano Banana API">
</a>
<a href="https://huggingface.co/spaces/ginigen/Nano-Banana-Video" target="_blank">
<img src="https://img.shields.io/static/v1?label=NANO%20BANANA&message=VIDEO&color=%230000ff&labelColor=%23800080&logo=GOOGLE&logoColor=white&style=for-the-badge" alt="Nano Banana VIDEO">
</a>
<a href="https://discord.gg/openfreeai" target="_blank">
<img src="https://img.shields.io/static/v1?label=Discord&message=Openfree%20AI&color=%230000ff&labelColor=%23800080&logo=discord&logoColor=white&style=for-the-badge" alt="Discord Openfree AI">
</a>
</div>
""")
with gr.Column(elem_classes="main-content"):
# Info box
gr.HTML("""
<div class="info-box">
<strong>How to use Nano Banana:</strong><br>
• <b>Text Generation:</b> Just enter a prompt - no images needed!<br>
• <b>Style Transfer:</b> Add images to apply specific styles<br>
• The powerful Nano Banana model handles both modes seamlessly
</div>
""")
with gr.Row(equal_height=True):
# Left Column - Inputs
with gr.Column(scale=1):
prompt = gr.Textbox(
label="Prompt / Style Description",
placeholder="Describe what you want to generate...",
lines=3,
value="A beautiful banana-themed paradise with golden sunset",
elem_classes="prompt-input"
)
with gr.Row(equal_height=True):
image1 = gr.Image(
label="Primary Image (Optional)",
type="pil",
height=200,
elem_classes="image-container image-upload"
)
image2 = gr.Image(
label="Secondary Image (Optional)",
type="pil",
height=200,
elem_classes="image-container image-upload"
)
generate_btn = gr.Button(
"Generate Magic ✨",
variant="primary",
size="lg"
)
# Right Column - Output
with gr.Column(scale=1):
output_image = gr.Image(
label="Generated Result",
type="pil",
height=420,
elem_classes="image-container output-image"
)
status = gr.Textbox(
label="Status",
interactive=False,
lines=1,
elem_classes="status-text",
value="Ready to generate with Nano Banana..."
)
# Event handler
generate_btn.click(
fn=process_images,
inputs=[prompt, image1, image2],
outputs=[output_image, status]
)
# Examples for text-only generation
gr.Examples(
examples=[
["A majestic banana kingdom floating in the clouds", None, None],
["Cyberpunk banana city with neon lights", None, None],
["Ancient banana temple in a mystical forest", None, None],
["Banana spaceship exploring the cosmos", None, None],
["Make the sheets in the style of the logo. Make the scene natural.", None, None],
],
inputs=[prompt, image1, image2],
label="Text Generation Examples (No Images Needed!)"
)
# Launch
if __name__ == "__main__":
demo.launch(
share=True,
server_name="0.0.0.0",
server_port=7860
)