Spaces:
Running
Running
removing excess js
Browse files
app.py
CHANGED
@@ -1,12 +1,8 @@
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from run import process
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import time
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import subprocess
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import os
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import argparse
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import cv2
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import sys
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from PIL import Image
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import torch
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import gradio as gr
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TESTdevice = "cpu"
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@@ -40,27 +36,12 @@ def inference(img):
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return output
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def load_image_from_file(file_path, new_height=None):
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"""
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Load an image from a file and optionally resize it while maintaining the aspect ratio.
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Args:
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file_path (str): The path to the image file.
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new_height (int, optional): The new height for the image. If None, the image is not resized.
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Returns:
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Image: The loaded (and optionally resized) image.
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"""
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try:
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img = Image.open(file_path)
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if (new_height is not None):
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# Calculate new width to maintain aspect ratio
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aspect_ratio = img.width / img.height
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new_width = int(new_height * aspect_ratio)
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# Resize the image
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img = img.resize((new_width, new_height), Image.LANCZOS)
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return img
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except FileNotFoundError:
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print(f"File not found: {file_path}")
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@@ -84,104 +65,12 @@ examples = [
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[load_image_from_file('example8.webp')],
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]
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function getEnvInfo() {
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const result = {};
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// Get URL parameters
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const urlParams = new URLSearchParams(window.location.search);
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for (const [key, value] of urlParams) {
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result[key] = value;
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}
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// Get current domain and convert to lowercase
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result["__domain"] = window.location.hostname.toLowerCase();
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// Get iframe parent domain, if any, and convert to lowercase
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try {
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if (window.self !== window.top) {
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result["__iframe_domain"] = document.referrer
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? new URL(document.referrer).hostname.toLowerCase()
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: "unable to get iframe parent domain";
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}else{
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result["__iframe_domain"] = "";
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}
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} catch (e) {
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result["__iframe_domain"] = "unable to access iframe parent domain";
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}
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return result;
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}
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function isValidEnv(){
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envInfo = getEnvInfo();
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return envInfo["e"] == "1" ||
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envInfo["__domain"].indexOf("nsfwais.io") != -1 ||
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envInfo["__iframe_domain"].indexOf("nsfwais.io") != -1 ||
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envInfo["__domain"].indexOf("127.0.0.1") != -1 ||
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envInfo["__iframe_domain"].indexOf("127.0.0.1") != -1;
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}
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window.postMessageToParent = function(img, event, source, value) {
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// Construct the message object with the provided parameters
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console.log("post start",event, source, value);
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const message = {
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event: event,
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source: source,
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value: value
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};
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// Post the message to the parent window
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window.parent.postMessage(message, '*');
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console.log("post finish");
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window.cur_process_step = "process";
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return img;
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}
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function uploadImage(image, event, source, value) {
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// Ensure we're in an iframe
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if (window.cur_process_step != "process"){
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return;
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}
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window.cur_process_step = "";
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console.log("uploadImage", image ? image.url : null, event, source, value);
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// Get the first image from the gallery (assuming it's an array)
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let imageUrl = image ? image.url : null;
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if (window.self !== window.top) {
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// Post the message to the parent window
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// Prepare the data to send
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let data = {
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event: event,
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source: source,
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value: imageUrl
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};
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window.parent.postMessage(data, '*');
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} else if (isValidEnv()){
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try{
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sendCustomEventToDataLayer({},event,source,{"image":imageUrl})
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} catch (error) {
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console.error("Error in sendCustomEventToDataLayer:", error);
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}
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}else{
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console.log("Not in an iframe, can't post to parent");
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}
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return;
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}
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window.onDemoLoad = function(x){
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let envInfo = getEnvInfo();
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console.log(envInfo);
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if (isValidEnv()){
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var element = document.getElementById("pitch_desc_html_code");
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if (element) {
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element.parentNode.removeChild(element);
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}
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}
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return "";
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}
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</script>
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'''
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with gr.Blocks(head=js, theme="Nymbo/Alyx_Theme") as demo:
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width=240
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height=340
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with gr.Row(equal_height=False):
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with gr.Column(min_width=240):
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image_input = gr.Image(type="numpy", label="", height=height)
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gr.Examples(examples=examples, inputs=image_input, examples_per_page=10, elem_id="example_img")
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process_button = gr.Button("Nude!", size="sm")
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@@ -190,8 +79,8 @@ with gr.Blocks(head=js, theme="Nymbo/Alyx_Theme") as demo:
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processed_img = inference(img)
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return processed_img
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image_input.change(fn=lambda x: x, inputs=[image_input], outputs=[gr.State([])]
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process_button.click(update_status, inputs=image_input, outputs=image_input
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demo.queue(max_size=10)
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demo.launch()
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from run import process
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import time
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import os
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import cv2
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from PIL import Image
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import gradio as gr
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TESTdevice = "cpu"
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return output
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def load_image_from_file(file_path, new_height=None):
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try:
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img = Image.open(file_path)
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if new_height is not None:
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aspect_ratio = img.width / img.height
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new_width = int(new_height * aspect_ratio)
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img = img.resize((new_width, new_height), Image.LANCZOS)
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return img
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except FileNotFoundError:
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print(f"File not found: {file_path}")
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[load_image_from_file('example8.webp')],
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]
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with gr.Blocks(theme="Nymbo/Alyx_Theme") as demo:
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width = 240
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height = 340
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with gr.Row(equal_height=False):
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with gr.Column(min_width=240):
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image_input = gr.Image(type="numpy", label="", height=height)
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gr.Examples(examples=examples, inputs=image_input, examples_per_page=10, elem_id="example_img")
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process_button = gr.Button("Nude!", size="sm")
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processed_img = inference(img)
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return processed_img
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image_input.change(fn=lambda x: x, inputs=[image_input], outputs=[gr.State([])])
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process_button.click(update_status, inputs=image_input, outputs=image_input)
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demo.queue(max_size=10)
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demo.launch()
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