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Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,5 @@
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import gradio as gr
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from google import genai
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from google.genai import types
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import os
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@@ -49,11 +50,10 @@ def unified_image_generator(
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prompt: str,
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images: Optional[List[str]] = None,
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oauth_token: Optional[gr.OAuthToken] = None
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) ->
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"""
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Handles all image generation tasks based on the number of input images.
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- 1+ images: Image-to-image (single or multi-modal)
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"""
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if not verify_pro_status(oauth_token):
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raise gr.Error("Access Denied. This service is for PRO users only.")
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@@ -84,11 +84,50 @@ def unified_image_generator(
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pil_image = Image.open(BytesIO(image_data))
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with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as tmpfile:
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pil_image.save(tmpfile.name)
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except Exception as e:
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raise gr.Error(f"Image generation failed: {e}")
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# --- Gradio App UI ---
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css = '''
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@@ -103,8 +142,8 @@ css = '''
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.grid-container img{object-fit: contain}
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.grid-container {display: grid;grid-template-columns: repeat(2, 1fr)}
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.grid-container:has(> .gallery-item:only-child) {grid-template-columns: 1fr}
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'''
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with gr.Blocks(theme=gr.themes.Citrus(), css=css) as demo:
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gr.HTML('''
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<img class="logo-dark" src='https://huggingface.co/spaces/multimodalart/nano-banana/resolve/main/nano_banana_pros.png' style='margin: 0 auto; max-width: 500px' />
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@@ -135,6 +174,9 @@ with gr.Blocks(theme=gr.themes.Citrus(), css=css) as demo:
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with gr.Column(scale=1):
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output_image = gr.Image(label="Output", interactive=False, elem_id="output", type="filepath")
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use_image_button = gr.Button("♻️ Use this Image for Next Edit")
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gr.Markdown("## Thank you for being a PRO! 🤗")
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login_button = gr.LoginButton()
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@@ -142,9 +184,13 @@ with gr.Blocks(theme=gr.themes.Citrus(), css=css) as demo:
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# --- Event Handlers ---
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gr.on(
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triggers=[generate_button.click, prompt_input.submit],
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fn=unified_image_generator,
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inputs=[prompt_input, image_input_gallery],
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outputs=[output_image],
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)
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use_image_button.click(
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@@ -152,8 +198,19 @@ with gr.Blocks(theme=gr.themes.Citrus(), css=css) as demo:
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inputs=[output_image],
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outputs=[image_input_gallery]
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)
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# --- Access Control Logic
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def control_access(
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profile: Optional[gr.OAuthProfile] = None,
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oauth_token: Optional[gr.OAuthToken] = None
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import gradio as gr
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from gradio_client import Client, handle_file
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from google import genai
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from google.genai import types
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import os
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prompt: str,
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images: Optional[List[str]] = None,
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oauth_token: Optional[gr.OAuthToken] = None
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) -> tuple:
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"""
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Handles all image generation tasks based on the number of input images.
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Returns: (output_image_path, video_button_visible, video_output_visible)
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"""
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if not verify_pro_status(oauth_token):
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raise gr.Error("Access Denied. This service is for PRO users only.")
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pil_image = Image.open(BytesIO(image_data))
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with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as tmpfile:
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pil_image.save(tmpfile.name)
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output_path = tmpfile.name
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# Determine if video button should be shown (only if exactly 1 input image)
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show_video_button = images and len(images) == 1
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# Return output image path, video button visibility, and hide video output
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return output_path, gr.update(visible=show_video_button), gr.update(visible=False)
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except Exception as e:
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raise gr.Error(f"Image generation failed: {e}")
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def create_video_transition(
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input_image_gallery: List[str],
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output_image: str,
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oauth_token: Optional[gr.OAuthToken] = None
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) -> tuple:
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"""
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Creates a video transition between the input and output images.
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Returns: (video_path, video_visible)
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"""
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if not verify_pro_status(oauth_token):
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raise gr.Error("Access Denied. This service is for PRO users only.")
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if not input_image_gallery or not output_image:
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raise gr.Error("Both input and output images are required for video creation.")
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try:
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yield gr.update(visible=True, value=None)
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video_client = Client("multimodalart/wan-2-2-first-last-frame", hf_token=oauth_token.token)
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input_image_path = input_image_gallery[0][0]
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result = video_client.predict(
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start_image_pil=handle_file(input_image_path),
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end_image_pil=handle_file(output_image),
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prompt="Smooth transition between the two images",
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api_name="/generate_video"
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)
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return result
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except Exception as e:
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raise gr.Error(f"Video creation failed: {e}")
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# --- Gradio App UI ---
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css = '''
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.grid-container img{object-fit: contain}
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.grid-container {display: grid;grid-template-columns: repeat(2, 1fr)}
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.grid-container:has(> .gallery-item:only-child) {grid-template-columns: 1fr}
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'''
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with gr.Blocks(theme=gr.themes.Citrus(), css=css) as demo:
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gr.HTML('''
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<img class="logo-dark" src='https://huggingface.co/spaces/multimodalart/nano-banana/resolve/main/nano_banana_pros.png' style='margin: 0 auto; max-width: 500px' />
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with gr.Column(scale=1):
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output_image = gr.Image(label="Output", interactive=False, elem_id="output", type="filepath")
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use_image_button = gr.Button("♻️ Use this Image for Next Edit")
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create_video_button = gr.Button("Create a video between the two 🎥", variant="primary", visible=False)
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video_output = gr.Video(label="Generated Video", visible=False)
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gr.Markdown("## Thank you for being a PRO! 🤗")
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login_button = gr.LoginButton()
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# --- Event Handlers ---
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gr.on(
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triggers=[generate_button.click, prompt_input.submit],
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fn=lambda: [gr.update(visible=False), gr.update(visible=False)],
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inputs=[],
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outputs=[create_video_button, video_output],
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).then(
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fn=unified_image_generator,
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inputs=[prompt_input, image_input_gallery],
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outputs=[output_image, create_video_button, video_output],
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)
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use_image_button.click(
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inputs=[output_image],
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outputs=[image_input_gallery]
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)
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# Video creation handler
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create_video_button.click(
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fn=lambda: gr.update(visible=True),
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inputs=[],
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outputs=[video_output],
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).then(
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fn=create_video_transition,
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inputs=[image_input_gallery, output_image],
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outputs=[video_output],
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)
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# --- Access Control Logic ---
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def control_access(
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profile: Optional[gr.OAuthProfile] = None,
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oauth_token: Optional[gr.OAuthToken] = None
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