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import gradio as gr | |
import gradio.themes | |
import numpy as np | |
from style import js_func, css_func | |
import tempfile | |
import pandas as pd | |
from shared_functions import greet, calculator, sepia, download_text, download_csv | |
from greeting_tab import greeting_tab | |
from calculator_tab import calculator_tab | |
from sepia_tab import sepia_tab | |
from space_loader_tab import gr_load_tab, iframe_loader_tab | |
import json | |
print("Gradio version:", gradio.__version__) | |
theme = gr.Theme.from_hub("LPX55/modal_ai") | |
with gr.Blocks(theme=theme, js=js_func, css=css_func) as demo: | |
show_space_tab = gr.State(False) | |
# Iframe lazy load pattern | |
heavy_iframe_src = gr.State("") | |
with gr.Tab("Heavy Space (iframe - lazy load)", visible=False) as heavy_iframe_tab: | |
iframe_html = gr.HTML("") | |
close_btn = gr.Button("Close Tab") | |
def close_heavy_iframe_tab(): | |
return gr.Tab(visible=False), "" | |
close_btn.click(fn=close_heavy_iframe_tab, outputs=[heavy_iframe_tab, iframe_html]) | |
def open_heavy_iframe_tab(): | |
src = '<iframe src="https://lpx55-sam2-1-image-predictor-masking-tool-cpu.hf.space" width="100%" height="800" style="border:none;"></iframe>' | |
return gr.Tab(visible=True), src | |
# Iframe always loaded pattern | |
with gr.Tab("Heavy Space (iframe - always loaded)", visible=False) as heavy_iframe_always_tab: | |
gr.HTML('<iframe src="https://lpx55-sam2-1-image-predictor-masking-tool-cpu.hf.space" width="100%" height="800" style="border:none;"></iframe>') | |
close_btn2 = gr.Button("Close Tab") | |
def close_heavy_iframe_always_tab(): | |
return gr.Tab(visible=False) | |
close_btn2.click(fn=close_heavy_iframe_always_tab, outputs=heavy_iframe_always_tab) | |
def open_heavy_iframe_always_tab(): | |
return gr.Tab(visible=True) | |
with gr.Sidebar(width="25vw"): | |
gr.Markdown(""" | |
# 🤖 API + MCP Demo | |
_Dynamically load tabs 🤫_ | |
--- | |
**Ways to load the remote SAM2.1 Masking Tool:** | |
- **gr.load()**: Loads the remote interface at startup, just hidden until shown. | |
- **iframe**: Loads the remote UI only when you click the button (no API integration). | |
- **API Proxy**: Upload an image, and the backend will call the remote Space's API and show the result. | |
- **Open in New Tab**: Opens the remote Space in a new browser tab. | |
--- | |
**Navigation** | |
- [Greeting](#greeting) | |
- [Calculator](#calculator) | |
- [Sepia Image](#sepia-image) | |
- [Custom IFrame Loader](#custom-iframe-loader) | |
- [Space Loader](#space-loader) | |
--- | |
### [GitHub Repo](https://github.com/yourrepo) | [Docs](https://yourdocs) | |
--- | |
**Tips:** | |
- Try the examples in each tab! | |
- Download your results with the button on the right. | |
""") | |
gr.Code( | |
"""from gradio_client import Client | |
client = Client("YOUR_URL") | |
print(client.predict("Alex", 5, False, api_name="/greet")) | |
""", language="python", label="**API Example:**" | |
) | |
gr.Button("Reset All", elem_id="reset-btn") | |
load_space_btn = gr.Button("Load Extra Space", elem_id="load-space-btn") | |
load_sam_btn = gr.Button("Load SAM2.1 Masking Tool (gr.load)", elem_id="load-sam-btn") | |
load_sam_iframe_btn = gr.Button("Load SAM2.1 Masking Tool (iframe)", elem_id="load-sam-iframe-btn") | |
load_sam_api_btn = gr.Button("Load SAM2.1 Masking Tool (API Proxy)", elem_id="load-sam-api-btn") | |
open_sam_tab_btn = gr.Button("Open SAM2.1 Masking Tool in New Tab", elem_id="open-sam-tab-btn") | |
open_heavy_iframe_btn = gr.Button("Open Heavy Space (iframe - lazy load)") | |
open_heavy_iframe_btn.click(fn=open_heavy_iframe_tab, outputs=[heavy_iframe_tab, iframe_html]) | |
open_heavy_iframe_always_btn = gr.Button("Open Heavy Space (iframe - always loaded)") | |
open_heavy_iframe_always_btn.click(fn=open_heavy_iframe_always_tab, outputs=heavy_iframe_always_tab) | |
# All tabs grouped together for a unified tab bar | |
shared_state = gr.State({"greeting": None, "calculation": None}) | |
shared_state_box = gr.JSON(label="Shared Data Between Tabs") | |
def pretty_json(state): | |
return json.dumps(state, indent=2, ensure_ascii=False) | |
with gr.Tab("Greeting"): | |
name = gr.Textbox(label="Name", info="Enter your name", placeholder="e.g. Alex") | |
intensity = gr.Slider(1, 20, value=3, step=1, label="Intensity", info="How excited should the greeting be?") | |
with gr.Accordion("Advanced Options", open=False): | |
exclaim = gr.Checkbox(label="Shout (all caps)", info="Make the greeting all uppercase and add exclamations") | |
greet_btn = gr.Button("Greet") | |
greet_output = gr.Textbox(label="Greeting", lines=2) | |
download_greet_btn = gr.DownloadButton(label="Download Greeting", value=download_text, inputs=greet_output) | |
gr.Examples( | |
[["Jill", 1, False], ["Sam", 3, True], ["Alex", 5, False]], | |
inputs=[name, intensity, exclaim], | |
outputs=greet_output, | |
fn=greet | |
) | |
def update_greeting_state(greeting, state): | |
state = dict(state) | |
state["greeting"] = greeting | |
return state | |
greet_btn.click(greet, [name, intensity, exclaim], greet_output).then(update_greeting_state, [greet_output, shared_state], shared_state) | |
with gr.Tab("Calculator"): | |
num1 = gr.Number(label="Number 1", info="First number") | |
operation = gr.Radio(["add", "subtract", "multiply", "divide"], label="Operation", info="Choose the operation") | |
num2 = gr.Number(label="Number 2", info="Second number") | |
calc_btn = gr.Button("Calculate") | |
calc_output = gr.Number(label="Result") | |
download_calc_btn = gr.DownloadButton(label="Download Result", value=download_csv, inputs=calc_output) | |
gr.Examples( | |
[[45, "add", 3], [3.14, "divide", 2], [144, "multiply", 2.5], [0, "subtract", 1.2]], | |
inputs=[num1, operation, num2], | |
outputs=calc_output, | |
fn=calculator | |
) | |
def update_calc_state(result, state): | |
state = dict(state) | |
state["calculation"] = result | |
return state | |
calc_btn.click(calculator, [num1, operation, num2], calc_output).then(update_calc_state, [calc_output, shared_state], shared_state) | |
with gr.Tab("Sepia Image"): | |
sepia_tab() | |
with gr.Tab("Space Loader (gr.load)"): | |
gr_load_tab() | |
with gr.Tab("Space Loader (iframe)"): | |
iframe_loader_tab() | |
with gr.Tab("Extra Space", visible=False) as extra_space_tab: | |
gr.Markdown("## External Gradio Space") | |
gr.HTML('<iframe src="https://huggingface.co/spaces/gradio/calculator" width="100%" height="600" style="border:none;"></iframe>') | |
close_btn = gr.Button("Close Tab") | |
def close_tab(): | |
return gr.Tab(visible=False) | |
close_btn.click(fn=close_tab, outputs=extra_space_tab) | |
with gr.Tab("Custom IFrame Loader") as custom_iframe_tab: | |
gr.Markdown("## Load Any IFrame URL") | |
custom_url = gr.Textbox(label="IFrame URL", placeholder="https://example.com") | |
load_custom_iframe_btn = gr.Button("Load IFrame") | |
custom_iframe = gr.HTML(visible=True) | |
def load_custom_iframe(url): | |
if not url: | |
return "<div style='color:red'>Please enter a URL.</div>" | |
return f'<iframe src="{url}" width="100%" height="800" style="border:none;"></iframe>' | |
load_custom_iframe_btn.click(fn=load_custom_iframe, inputs=custom_url, outputs=custom_iframe) | |
close_btn = gr.Button("Close Tab") | |
def close_tab_custom(): | |
return gr.Tab(visible=False) | |
close_btn.click(fn=close_tab_custom, outputs=custom_iframe_tab) | |
# Add state variables for each dynamic tab | |
extra_space_open = gr.State(True) | |
sam_tab_open = gr.State(True) | |
sam_iframe_tab_open = gr.State(True) | |
sam_api_tab_open = gr.State(True) | |
custom_iframe_tab_open = gr.State(True) | |
def show_tab(): | |
return gr.Tab(visible=True) | |
load_space_btn.click(fn=show_tab, outputs=[extra_space_tab]) | |
def show_sam_api_tab(): | |
return gr.Tab(visible=True) | |
def open_in_new_tab(): | |
# This function does nothing server-side, but the button will have a link | |
pass | |
open_sam_tab_btn.click(fn=open_in_new_tab, inputs=None, outputs=None, js="window.open('https://lpx55-sam2-1-image-predictor-masking-tool-cpu.hf.space', '_blank')") | |
shared_state.change(pretty_json, shared_state, shared_state_box) | |
demo.queue(default_concurrency_limit=2, max_size=10).launch(mcp_server=True) |