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app.py
ADDED
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| 1 |
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#!/usr/bin/env python
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# -*- coding: UTF-8 -*-
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'''
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@Project : OmniTalker_HF
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@File : app_api.py
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@Author : zhongjian.wzj
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@Date : 2025/4/7 19:55
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Copyright (c) 2025, Alibaba Cloud. All rights reserved.
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'''
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import os
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import json
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import time
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import random
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import requests
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import argparse
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import uuid
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import gradio as gr
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from pathlib import Path
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local_ip = requests.get('http://myip.ipip.net', timeout=5).text
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print('local_ip: ', local_ip)
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url = os.getenv('OMNITALKER_URL', "http://localhost:8012")
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headers = {"Content-Type": "application/json"}
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script_dir = Path(__file__).parent.absolute()
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static_folder = script_dir / "static"
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static_folder.mkdir(parents=True, exist_ok=True)
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result_folder = script_dir / "result"
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result_folder.mkdir(parents=True, exist_ok=True)
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def auto_remove(folder, max_files=1000):
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folder = Path(folder)
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if not folder.exists() or not folder.is_dir():
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return
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files = [p for p in folder.iterdir() if p.is_file()]
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if not files or len(files) < max_files:
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return
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files.sort(key=lambda x: x.stat().st_ctime)
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# oldest_file = min(files, key=lambda x: x.stat().st_ctime)
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for i in range(len(files) - max_files + 1):
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oldest_file = files[i]
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try:
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oldest_file.unlink()
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print(f"remove file: {oldest_file}")
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except PermissionError:
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print(f"permission denied: {oldest_file}")
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except Exception as e:
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print(f"failed: {str(e)}")
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def predict(role, content, seed, speed):
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data = {
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"role": role,
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"content": content,
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"seed": seed,
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"speed": speed,
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}
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response = requests.post(f'{url}/predict', headers=headers, data=json.dumps(data))
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gen_file_path = result_folder / f"result-{uuid.uuid4().hex}.mp4"
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auto_remove(result_folder)
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if response.status_code == 200:
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with gen_file_path.open(mode='wb') as vid:
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vid.write(response.content)
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else:
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raise gr.Error(response.status_code)
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return gen_file_path
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def generate_seed():
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seed = random.randint(0, 2**32 - 1)
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return {
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"__type__": "update",
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"value": seed
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}
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def update_examples():
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response = requests.get(f"{url}/get_examples")
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if response.status_code == 200:
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examples_dict = response.json()
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print(examples_dict.keys())
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else:
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examples_dict = {}
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examples = []
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for role_id, role_cfg in examples_dict.items():
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ref_video_path = static_folder / f'{role_id}.mp4'
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if not ref_video_path.is_file():
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response = requests.get(f"{url}/get_video/", params={'role': role_id})
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if response.status_code == 200:
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with ref_video_path.open(mode='wb') as vid:
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vid.write(response.content)
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else:
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break
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examples.append([role_id, ref_video_path, *list(role_cfg.values())])
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return {
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"__type__": "update",
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"samples": examples,
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}
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def check_http(url, timeout=5):
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try:
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response = requests.get(url, timeout=timeout)
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| 120 |
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if response.status_code == 200:
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print(f"Succeed: {response.status_code}")
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return True
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else:
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print(f"Faild: {response.status_code}")
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return False
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except requests.exceptions.RequestException as e:
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print(f"Error: {e}")
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return False
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MAX_CONNECT_TIMES = 100
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for try_loop in range(MAX_CONNECT_TIMES):
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print(f'Try: {try_loop}/{MAX_CONNECT_TIMES}')
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| 133 |
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if check_http(url):
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break
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| 135 |
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time.sleep(10)
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| 136 |
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| 137 |
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with open('style.css', 'r') as f:
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| 138 |
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custom_css = f.read()
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| 139 |
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with gr.Blocks(css=custom_css) as demo:
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gr.Markdown("# <center> OmniTalker </center>")
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gr.Markdown('''
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### Steps:
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1. Select a character in Examples. Waiting for `Reference Video` to load the video.
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| 145 |
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2. Enter text and generate (Only Chinese and English are supported by far).
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| 146 |
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| 147 |
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### Tips:
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1. Try different `Seed` to achieve the best generation. God may not play dice, but AI does.
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| 149 |
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2. Adjust `Speed` to control the speech rate. Especially when generating Chinese speech for native English speakers, recommended setting is 0.9~0.95.
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| 150 |
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3. Due to limitations in network speed and GPU resources, the generation speed may not achieve a real-time 1:1 ratio. Appreciate.
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''')
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| 153 |
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with gr.Group():
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with gr.Row():
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| 155 |
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with gr.Column():
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| 156 |
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reference_video = gr.Video(label='Reference Video', interactive=False)
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| 157 |
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with gr.Column():
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| 158 |
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output_video = gr.Video(label='Output Video', streaming=False, autoplay=True)
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| 159 |
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| 160 |
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with gr.Row(equal_height=True):
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| 161 |
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input_text = gr.Textbox(label="Input Text", lines=8, scale=5)
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| 162 |
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with gr.Column(scale=1):
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with gr.Row(equal_height=True):
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seed = gr.Number(value=-1, label="Seed", elem_classes="gradio-number")
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| 165 |
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btn_seed = gr.Button(value="\U0001F3B2", elem_classes="gradio-button")
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| 166 |
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speed = gr.Slider(0, 2, value=1, step=0.01, label="Speed", scale=2)
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| 167 |
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btn_run = gr.Button('Submit', variant='primary')
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| 168 |
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| 169 |
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with gr.Row(equal_height=True):
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| 170 |
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role = gr.Textbox(label="Role", lines=1, max_lines=1, elem_classes="gradio-textbox", interactive=False)
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| 171 |
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btn_refresh = gr.Button(value='\U0001f504', elem_classes="gradio-button")
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| 172 |
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| 173 |
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examples = gr.Examples(
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| 174 |
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examples=update_examples()['samples'],
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| 175 |
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inputs=[role, reference_video, input_text, seed, speed],
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| 176 |
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examples_per_page=10,
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| 177 |
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)
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| 178 |
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| 179 |
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btn_seed.click(generate_seed, inputs=[], outputs=seed)
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| 180 |
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btn_refresh.click(update_examples, outputs=[examples.dataset])
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| 181 |
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btn_run.click(predict, inputs=[role, input_text, seed, speed], outputs=[output_video])
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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if __name__ == '__main__':
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| 186 |
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parser = argparse.ArgumentParser()
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| 187 |
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parser.add_argument(
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| 188 |
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"-ip", "--server_ip", type=str, default="0.0.0.0",
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| 189 |
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)
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| 190 |
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parser.add_argument(
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| 191 |
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"-p", "--server_port", type=int, default=7860,
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| 192 |
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)
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| 193 |
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args = parser.parse_args()
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| 194 |
+
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| 195 |
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demo.launch(server_name=args.server_ip, server_port=args.server_port, share=False)
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style.css
ADDED
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| 1 |
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/* temporary fix to load default gradio font in frontend instead of backend */
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| 2 |
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| 3 |
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| 4 |
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:root, .dark{
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| 5 |
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--checkbox-label-gap: 0.25em 0.1em;
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| 6 |
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--section-header-text-size: 12pt;
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| 7 |
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--block-background-fill: transparent;
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| 8 |
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width: 50%;
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| 9 |
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min-width: 1024px;
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| 10 |
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justify-self: center;
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| 11 |
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align-items: center;
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| 12 |
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}
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| 13 |
+
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| 14 |
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.block.padded:not(.gradio-accordion) {
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| 15 |
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padding: 0 !important;
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| 16 |
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}
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| 17 |
+
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| 18 |
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div.gradio-container{
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| 19 |
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max-width: unset !important;
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| 20 |
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}
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| 21 |
+
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| 22 |
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.hidden{
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| 23 |
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display: none !important;
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| 24 |
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}
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| 25 |
+
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| 26 |
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.compact{
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| 27 |
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background: transparent !important;
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| 28 |
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padding: 0 !important;
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| 29 |
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}
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| 30 |
+
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| 31 |
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div.form{
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| 32 |
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border-width: 0;
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| 33 |
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box-shadow: none;
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| 34 |
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background: transparent;
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| 35 |
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overflow: visible;
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| 36 |
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gap: 0.5em;
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| 37 |
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}
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| 38 |
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| 39 |
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div.gradio-group, div.styler{
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| 40 |
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border-width: 0 !important;
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| 41 |
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background: none;
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| 42 |
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}
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| 43 |
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.gap.compact{
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| 44 |
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padding: 0;
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| 45 |
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gap: 0.2em 0;
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| 46 |
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}
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| 47 |
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| 48 |
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div.compact{
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| 49 |
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gap: 1em;
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| 50 |
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}
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| 51 |
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| 52 |
+
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| 53 |
+
.block.gradio-dropdown,
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| 54 |
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.block.gradio-slider,
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| 55 |
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.block.gradio-textbox,
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| 56 |
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.block.gradio-number {
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| 57 |
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border-width: 0 !important;
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| 58 |
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box-shadow: none !important;
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| 59 |
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}
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| 60 |
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| 61 |
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.gradio-slider input[type="number"]{
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| 62 |
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width: 6em;
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| 63 |
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}
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| 64 |
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| 65 |
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.gradio-slider{
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| 66 |
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margin-top: 0.75em;
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| 67 |
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}
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| 68 |
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| 69 |
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/* .gradio-dropdown label span:not(.has-info),
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| 70 |
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.gradio-textbox label span:not(.has-info),
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| 71 |
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.gradio-number label span:not(.has-info)
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| 72 |
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{
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| 73 |
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margin-bottom: 0;
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| 74 |
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} */
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| 75 |
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/*
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| 76 |
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.gradio-dropdown label span,
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| 77 |
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.gradio-textbox label span,
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| 78 |
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.gradio-number label span
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| 79 |
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{
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| 80 |
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margin-bottom: 0 !important;
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| 81 |
+
} */
|
| 82 |
+
|
| 83 |
+
.gradio-button{
|
| 84 |
+
max-width: 2.2em;
|
| 85 |
+
min-width: 2.2em !important;
|
| 86 |
+
height: 2.4em;
|
| 87 |
+
align-self: end;
|
| 88 |
+
line-height: 1em;
|
| 89 |
+
border-radius: 0.5em;
|
| 90 |
+
}
|
| 91 |
+
|