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anycoder / backend_deploy.py

akhaliq HF Staff

fix transformers js issue

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	"""
	Standalone deployment utilities for publishing to HuggingFace Spaces.
	No Gradio dependencies - can be used in backend API.
	"""
	import os
	import re
	import json
	import uuid
	import tempfile
	import shutil
	import ast
	from typing import Dict, List, Optional, Tuple
	from pathlib import Path

	from huggingface_hub import HfApi
	from backend_models import get_inference_client, get_real_model_id
	from backend_parsers import (
	parse_transformers_js_output,
	parse_html_code,
	parse_python_requirements,
	parse_multi_file_python_output,
	strip_tool_call_markers,
	remove_code_block,
	extract_import_statements,
	generate_requirements_txt_with_llm
	)


	def parse_html_code(code: str) -> str:
	"""Extract HTML code from various formats"""
	code = code.strip()

	# If already clean HTML, return as-is
	if code.startswith('<!DOCTYPE') or code.startswith('<html'):
	return code

	# Try to extract from code blocks
	if '```html' in code:
	match = re.search(r'```html\s(.?)\s*```', code, re.DOTALL)
	if match:
	return match.group(1).strip()

	if '```' in code:
	match = re.search(r'```\s(.?)\s*```', code, re.DOTALL)
	if match:
	return match.group(1).strip()

	return code


	def prettify_comfyui_json_for_html(json_content: str) -> str:
	"""Convert ComfyUI JSON to stylized HTML display with download button"""
	try:
	# Parse and prettify the JSON
	parsed_json = json.loads(json_content)
	prettified_json = json.dumps(parsed_json, indent=2, ensure_ascii=False)

	# Create Apple-style HTML wrapper
	html_content = f"""<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>ComfyUI Workflow</title>
	<style>
	* {{
	margin: 0;
	padding: 0;
	box-sizing: border-box;
	}}
	body {{
	font-family: -apple-system, BlinkMacSystemFont, 'SF Pro Text', 'Segoe UI', system-ui, sans-serif;
	background-color: #000000;
	color: #f5f5f7;
	line-height: 1.6;
	padding: 20px;
	min-height: 100vh;
	}}
	.container {{
	max-width: 1200px;
	margin: 0 auto;
	}}
	.header {{
	text-align: center;
	margin-bottom: 40px;
	padding: 40px 20px;
	}}
	.header h1 {{
	font-size: 48px;
	font-weight: 600;
	color: #ffffff;
	margin-bottom: 12px;
	letter-spacing: -0.02em;
	}}
	.header p {{
	font-size: 18px;
	color: #86868b;
	font-weight: 400;
	}}
	.controls {{
	display: flex;
	gap: 12px;
	margin-bottom: 24px;
	justify-content: center;
	}}
	.btn {{
	padding: 12px 24px;
	border: none;
	border-radius: 24px;
	font-size: 14px;
	font-weight: 500;
	cursor: pointer;
	transition: all 0.2s;
	font-family: inherit;
	}}
	.btn-primary {{
	background: #ffffff;
	color: #000000;
	}}
	.btn-primary:hover {{
	background: #f5f5f7;
	transform: scale(0.98);
	}}
	.btn-secondary {{
	background: #1d1d1f;
	color: #f5f5f7;
	border: 1px solid #424245;
	}}
	.btn-secondary:hover {{
	background: #2d2d2f;
	transform: scale(0.98);
	}}
	.json-container {{
	background-color: #1d1d1f;
	border-radius: 16px;
	padding: 32px;
	overflow-x: auto;
	border: 1px solid #424245;
	box-shadow: 0 4px 6px rgba(0, 0, 0, 0.3);
	}}
	pre {{
	margin: 0;
	font-family: 'SF Mono', 'Monaco', 'Menlo', 'Consolas', monospace;
	font-size: 13px;
	line-height: 1.6;
	white-space: pre-wrap;
	word-wrap: break-word;
	}}
	.json-key {{
	color: #9cdcfe;
	}}
	.json-string {{
	color: #ce9178;
	}}
	.json-number {{
	color: #b5cea8;
	}}
	.json-boolean {{
	color: #569cd6;
	}}
	.json-null {{
	color: #569cd6;
	}}
	.success {{
	color: #30d158;
	}}
	@media (max-width: 768px) {{
	.header h1 {{
	font-size: 32px;
	}}
	.controls {{
	flex-direction: column;
	}}
	.json-container {{
	padding: 20px;
	}}
	}}
	</style>
	</head>
	<body>
	<div class="container">
	<div class="header">
	<h1>ComfyUI Workflow</h1>
	<p>View and download your workflow JSON</p>
	</div>

	<div class="controls">
	<button class="btn btn-primary" onclick="downloadJSON()">Download JSON</button>
	<button class="btn btn-secondary" onclick="copyToClipboard()">Copy to Clipboard</button>
	</div>

	<div class="json-container">
	<pre id="json-content">{prettified_json}</pre>
	</div>
	</div>

	<script>
	function copyToClipboard() {{
	const jsonContent = document.getElementById('json-content').textContent;
	navigator.clipboard.writeText(jsonContent).then(() => {{
	const btn = event.target;
	const originalText = btn.textContent;
	btn.textContent = 'Copied!';
	btn.classList.add('success');
	setTimeout(() => {{
	btn.textContent = originalText;
	btn.classList.remove('success');
	}}, 2000);
	}}).catch(err => {{
	alert('Failed to copy to clipboard');
	}});
	}}

	function downloadJSON() {{
	const jsonContent = document.getElementById('json-content').textContent;
	const blob = new Blob([jsonContent], {{ type: 'application/json' }});
	const url = URL.createObjectURL(blob);
	const a = document.createElement('a');
	a.href = url;
	a.download = 'comfyui_workflow.json';
	document.body.appendChild(a);
	a.click();
	document.body.removeChild(a);
	URL.revokeObjectURL(url);

	const btn = event.target;
	const originalText = btn.textContent;
	btn.textContent = 'Downloaded!';
	btn.classList.add('success');
	setTimeout(() => {{
	btn.textContent = originalText;
	btn.classList.remove('success');
	}}, 2000);
	}}

	// Add syntax highlighting
	function highlightJSON() {{
	const content = document.getElementById('json-content');
	let html = content.innerHTML;

	// Highlight different JSON elements
	html = html.replace(/"([^"]+)":/g, '<span class="json-key">"$1":</span>');
	html = html.replace(/: "([^"]*)"/g, ': <span class="json-string">"$1"</span>');
	html = html.replace(/: (-?\\d+\\.?\\d*)/g, ': <span class="json-number">$1</span>');
	html = html.replace(/: (true\|false)/g, ': <span class="json-boolean">$1</span>');
	html = html.replace(/: null/g, ': <span class="json-null">null</span>');

	content.innerHTML = html;
	}}

	// Apply syntax highlighting after page load
	window.addEventListener('load', highlightJSON);
	</script>
	</body>
	</html>"""
	return html_content
	except json.JSONDecodeError:
	# If it's not valid JSON, return as-is wrapped in basic HTML
	return f"""<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>ComfyUI Workflow</title>
	<style>
	body {{
	font-family: -apple-system, BlinkMacSystemFont, 'SF Pro Text', sans-serif;
	background-color: #000000;
	color: #f5f5f7;
	padding: 40px;
	}}
	pre {{
	background: #1d1d1f;
	padding: 24px;
	border-radius: 12px;
	overflow-x: auto;
	}}
	</style>
	</head>
	<body>
	<h1>ComfyUI Workflow</h1>
	<p>Error: Invalid JSON format</p>
	<pre>{json_content}</pre>
	</body>
	</html>"""
	except Exception as e:
	print(f"Error prettifying ComfyUI JSON: {e}")
	return json_content


	def parse_transformers_js_output(code: str) -> Dict[str, str]:
	"""Parse transformers.js output into separate files (index.html, index.js, style.css)

	Uses comprehensive parsing patterns to handle various LLM output formats.
	"""
	files = {
	'index.html': '',
	'index.js': '',
	'style.css': ''
	}

	# Multiple patterns to match the three code blocks with different variations
	html_patterns = [
	r'```html\s\n([\s\S]?)(?:```\|\Z)',
	r'```htm\s\n([\s\S]?)(?:```\|\Z)',
	r'```\s(?:index\.html\|html)\s\n([\s\S]*?)(?:```\|\Z)'
	]

	js_patterns = [
	r'```javascript\s\n([\s\S]?)(?:```\|\Z)',
	r'```js\s\n([\s\S]?)(?:```\|\Z)',
	r'```\s(?:index\.js\|javascript\|js)\s\n([\s\S]*?)(?:```\|\Z)'
	]

	css_patterns = [
	r'```css\s\n([\s\S]?)(?:```\|\Z)',
	r'```\s(?:style\.css\|css)\s\n([\s\S]*?)(?:```\|\Z)'
	]

	# Extract HTML content
	for pattern in html_patterns:
	html_match = re.search(pattern, code, re.IGNORECASE)
	if html_match:
	files['index.html'] = html_match.group(1).strip()
	break

	# Extract JavaScript content
	for pattern in js_patterns:
	js_match = re.search(pattern, code, re.IGNORECASE)
	if js_match:
	files['index.js'] = js_match.group(1).strip()
	break

	# Extract CSS content
	for pattern in css_patterns:
	css_match = re.search(pattern, code, re.IGNORECASE)
	if css_match:
	files['style.css'] = css_match.group(1).strip()
	break

	# Fallback: support === index.html === format if any file is missing
	if not (files['index.html'] and files['index.js'] and files['style.css']):
	# Use regex to extract sections
	html_fallback = re.search(r'===\sindex\.html\s===\s*\n([\s\S]+?)(?=\n===\|$)', code, re.IGNORECASE)
	js_fallback = re.search(r'===\sindex\.js\s===\s*\n([\s\S]+?)(?=\n===\|$)', code, re.IGNORECASE)
	css_fallback = re.search(r'===\sstyle\.css\s===\s*\n([\s\S]+?)(?=\n===\|$)', code, re.IGNORECASE)

	if html_fallback:
	files['index.html'] = html_fallback.group(1).strip()
	if js_fallback:
	files['index.js'] = js_fallback.group(1).strip()
	if css_fallback:
	files['style.css'] = css_fallback.group(1).strip()

	# Additional fallback: extract from numbered sections or file headers
	if not (files['index.html'] and files['index.js'] and files['style.css']):
	# Try patterns like "1. index.html:" or "index.html"
	patterns = [
	(r'(?:^\d+\.\s\|^##\s\|^\\\s)index\.html(?:\s:\|\\:?)\s\n([\s\S]+?)(?=\n(?:\d+\.\|##\|\\*\|===)\|$)', 'index.html'),
	(r'(?:^\d+\.\s\|^##\s\|^\\\s)index\.js(?:\s:\|\\:?)\s\n([\s\S]+?)(?=\n(?:\d+\.\|##\|\\*\|===)\|$)', 'index.js'),
	(r'(?:^\d+\.\s\|^##\s\|^\\\s)style\.css(?:\s:\|\\:?)\s\n([\s\S]+?)(?=\n(?:\d+\.\|##\|\\*\|===)\|$)', 'style.css')
	]

	for pattern, file_key in patterns:
	if not files[file_key]:
	match = re.search(pattern, code, re.IGNORECASE \| re.MULTILINE)
	if match:
	# Clean up the content by removing any code block markers
	content = match.group(1).strip()
	content = re.sub(r'^```\w\s\n', '', content)
	content = re.sub(r'\n```\s*$', '', content)
	files[file_key] = content.strip()

	return files


	def parse_python_requirements(code: str) -> Optional[str]:
	"""Extract requirements.txt content from code if present"""
	# Look for requirements.txt section
	req_pattern = r'===\srequirements\.txt\s===\s(.?)(?====\|$)'
	match = re.search(req_pattern, code, re.DOTALL \| re.IGNORECASE)

	if match:
	requirements = match.group(1).strip()
	# Clean up code blocks
	requirements = re.sub(r'^```\w\s', '', requirements, flags=re.MULTILINE)
	requirements = re.sub(r'```\s*$', '', requirements, flags=re.MULTILINE)
	return requirements

	return None


	def strip_tool_call_markers(text):
	"""Remove TOOL_CALL markers and thinking tags that some LLMs add to their output."""
	if not text:
	return text
	# Remove [TOOL_CALL] and [/TOOL_CALL] markers
	text = re.sub(r'\[/?TOOL_CALL\]', '', text, flags=re.IGNORECASE)
	# Remove <think> and </think> tags and their content
	text = re.sub(r'<think>[\s\S]*?</think>', '', text, flags=re.IGNORECASE)
	# Remove any remaining unclosed <think> tags at the start
	text = re.sub(r'^<think>[\s\S]*?(?=\n\|$)', '', text, flags=re.IGNORECASE \| re.MULTILINE)
	# Remove any remaining </think> tags
	text = re.sub(r'</think>', '', text, flags=re.IGNORECASE)
	# Remove standalone }} that appears with tool calls
	# Only remove if it's on its own line or at the end
	text = re.sub(r'^\s\}\}\s$', '', text, flags=re.MULTILINE)
	return text.strip()


	def remove_code_block(text):
	"""Remove code block markers from text."""
	# First strip any tool call markers
	text = strip_tool_call_markers(text)

	# Try to match code blocks with language markers
	patterns = [
	r'```(?:html\|HTML)\n([\s\S]+?)\n```', # Match ```html or ```HTML
	r'```\n([\s\S]+?)\n```', # Match code blocks without language markers
	r'```([\s\S]+?)```' # Match code blocks without line breaks
	]
	for pattern in patterns:
	match = re.search(pattern, text, re.DOTALL)
	if match:
	extracted = match.group(1).strip()
	# Remove a leading language marker line (e.g., 'python') if present
	if extracted.split('\n', 1)[0].strip().lower() in ['python', 'html', 'css', 'javascript', 'json', 'c', 'cpp', 'markdown', 'latex', 'jinja2', 'typescript', 'yaml', 'dockerfile', 'shell', 'r', 'sql']:
	return extracted.split('\n', 1)[1] if '\n' in extracted else ''
	return extracted
	# If no code block is found, return as-is
	return text.strip()


	def extract_import_statements(code):
	"""Extract import statements from generated code."""
	import_statements = []

	# Built-in Python modules to exclude
	builtin_modules = {
	'os', 'sys', 'json', 'time', 'datetime', 'random', 'math', 're', 'collections',
	'itertools', 'functools', 'pathlib', 'urllib', 'http', 'email', 'html', 'xml',
	'csv', 'tempfile', 'shutil', 'subprocess', 'threading', 'multiprocessing',
	'asyncio', 'logging', 'typing', 'base64', 'hashlib', 'secrets', 'uuid',
	'copy', 'pickle', 'io', 'contextlib', 'warnings', 'sqlite3', 'gzip', 'zipfile',
	'tarfile', 'socket', 'ssl', 'platform', 'getpass', 'pwd', 'grp', 'stat',
	'glob', 'fnmatch', 'linecache', 'traceback', 'inspect', 'keyword', 'token',
	'tokenize', 'ast', 'code', 'codeop', 'dis', 'py_compile', 'compileall',
	'importlib', 'pkgutil', 'modulefinder', 'runpy', 'site', 'sysconfig'
	}

	try:
	# Try to parse as Python AST
	tree = ast.parse(code)

	for node in ast.walk(tree):
	if isinstance(node, ast.Import):
	for alias in node.names:
	module_name = alias.name.split('.')[0]
	if module_name not in builtin_modules and not module_name.startswith('_'):
	import_statements.append(f"import {alias.name}")

	elif isinstance(node, ast.ImportFrom):
	if node.module:
	module_name = node.module.split('.')[0]
	if module_name not in builtin_modules and not module_name.startswith('_'):
	names = [alias.name for alias in node.names]
	import_statements.append(f"from {node.module} import {', '.join(names)}")

	except SyntaxError:
	# Fallback: use regex to find import statements
	for line in code.split('\n'):
	line = line.strip()
	if line.startswith('import ') or line.startswith('from '):
	# Check if it's not a builtin module
	if line.startswith('import '):
	module_name = line.split()[1].split('.')[0]
	elif line.startswith('from '):
	module_name = line.split()[1].split('.')[0]

	if module_name not in builtin_modules and not module_name.startswith('_'):
	import_statements.append(line)

	return list(set(import_statements)) # Remove duplicates


	def generate_requirements_txt_with_llm(import_statements):
	"""Generate requirements.txt content using LLM based on import statements."""
	if not import_statements:
	return "# No additional dependencies required\n"

	# Use a lightweight model for this task
	try:
	client = get_inference_client("zai-org/GLM-4.6", "auto")
	actual_model_id = get_real_model_id("zai-org/GLM-4.6")

	imports_text = '\n'.join(import_statements)

	prompt = f"""Based on the following Python import statements, generate a comprehensive requirements.txt file with all necessary and commonly used related packages:

	{imports_text}

	Instructions:
	- Include the direct packages needed for the imports
	- Include commonly used companion packages and dependencies for better functionality
	- Use correct PyPI package names (e.g., PIL -> Pillow, sklearn -> scikit-learn)
	- IMPORTANT: For diffusers, ALWAYS use: git+https://github.com/huggingface/diffusers
	- IMPORTANT: For transformers, ALWAYS use: git+https://github.com/huggingface/transformers
	- IMPORTANT: If diffusers is installed, also include transformers and sentencepiece as they usually go together
	- Examples of comprehensive dependencies:
	* diffusers often needs: git+https://github.com/huggingface/transformers, sentencepiece, accelerate, torch, tokenizers
	* transformers often needs: accelerate, torch, tokenizers, datasets
	* gradio often needs: requests, Pillow for image handling
	* pandas often needs: numpy, openpyxl for Excel files
	* matplotlib often needs: numpy, pillow for image saving
	* sklearn often needs: numpy, scipy, joblib
	* streamlit often needs: pandas, numpy, requests
	* opencv-python often needs: numpy, pillow
	* fastapi often needs: uvicorn, pydantic
	* torch often needs: torchvision, torchaudio (if doing computer vision/audio)
	- Include packages for common file formats if relevant (openpyxl, python-docx, PyPDF2)
	- Do not include Python built-in modules
	- Do not specify versions unless there are known compatibility issues
	- One package per line
	- If no external packages are needed, return "# No additional dependencies required"

	🚨 CRITICAL OUTPUT FORMAT:
	- Output ONLY the package names, one per line (plain text format)
	- Do NOT use markdown formatting (no ```, no bold, no headings, no lists)
	- Do NOT add any explanatory text before or after the package list
	- Do NOT wrap the output in code blocks
	- Just output raw package names as they would appear in requirements.txt

	Generate a comprehensive requirements.txt that ensures the application will work smoothly:"""

	messages = [
	{"role": "system", "content": "You are a Python packaging expert specializing in creating comprehensive, production-ready requirements.txt files. Output ONLY plain text package names without any markdown formatting, code blocks, or explanatory text. Your goal is to ensure applications work smoothly by including not just direct dependencies but also commonly needed companion packages, popular extensions, and supporting libraries that developers typically need together."},
	{"role": "user", "content": prompt}
	]

	response = client.chat.completions.create(
	model=actual_model_id,
	messages=messages,
	max_tokens=1024,
	temperature=0.1
	)

	requirements_content = response.choices[0].message.content.strip()

	# Clean up the response in case it includes extra formatting
	if '```' in requirements_content:
	requirements_content = remove_code_block(requirements_content)

	# Enhanced cleanup for markdown and formatting
	lines = requirements_content.split('\n')
	clean_lines = []
	for line in lines:
	stripped_line = line.strip()

	# Skip lines that are markdown formatting
	if (stripped_line == '```' or
	stripped_line.startswith('```') or
	stripped_line.startswith('#') and not stripped_line.startswith('# ') or # Skip markdown headers but keep comments
	stripped_line.startswith('**') or # Skip bold text
	stripped_line.startswith('') and not stripped_line[1:2].isalnum() or # Skip markdown lists but keep package names starting with
	stripped_line.startswith('-') and not stripped_line[1:2].isalnum() or # Skip markdown lists but keep package names starting with -
	stripped_line.startswith('===') or # Skip section dividers
	stripped_line.startswith('---') or # Skip horizontal rules
	stripped_line.lower().startswith('here') or # Skip explanatory text
	stripped_line.lower().startswith('this') or # Skip explanatory text
	stripped_line.lower().startswith('the') or # Skip explanatory text
	stripped_line.lower().startswith('based on') or # Skip explanatory text
	stripped_line == ''): # Skip empty lines unless they're at natural boundaries
	continue

	# Keep lines that look like valid package specifications
	# Valid lines: package names, git+https://, comments starting with "# "
	if (stripped_line.startswith('# ') or # Valid comments
	stripped_line.startswith('git+') or # Git dependencies
	stripped_line[0].isalnum() or # Package names start with alphanumeric
	'==' in stripped_line or # Version specifications
	'>=' in stripped_line or # Version specifications
	'<=' in stripped_line): # Version specifications
	clean_lines.append(line)

	requirements_content = '\n'.join(clean_lines).strip()

	# Ensure it ends with a newline
	if requirements_content and not requirements_content.endswith('\n'):
	requirements_content += '\n'

	return requirements_content if requirements_content else "# No additional dependencies required\n"

	except Exception as e:
	# Fallback: simple extraction with basic mapping
	print(f"[Deploy] Warning: LLM requirements generation failed: {e}, using fallback")
	dependencies = set()
	special_cases = {
	'PIL': 'Pillow',
	'sklearn': 'scikit-learn',
	'skimage': 'scikit-image',
	'bs4': 'beautifulsoup4'
	}

	for stmt in import_statements:
	if stmt.startswith('import '):
	module_name = stmt.split()[1].split('.')[0]
	package_name = special_cases.get(module_name, module_name)
	dependencies.add(package_name)
	elif stmt.startswith('from '):
	module_name = stmt.split()[1].split('.')[0]
	package_name = special_cases.get(module_name, module_name)
	dependencies.add(package_name)

	if dependencies:
	return '\n'.join(sorted(dependencies)) + '\n'
	else:
	return "# No additional dependencies required\n"


	def parse_multi_file_python_output(code: str) -> Dict[str, str]:
	"""Parse multi-file Python output (e.g., Gradio, Streamlit)"""
	files = {}

	# Pattern to match file sections
	pattern = r'===\s(\S+\.(?:py\|txt))\s===\s(.?)(?====\|$)'
	matches = re.finditer(pattern, code, re.DOTALL \| re.IGNORECASE)

	for match in matches:
	filename = match.group(1).strip()
	content = match.group(2).strip()

	# Clean up code blocks if present
	content = re.sub(r'^```\w\s', '', content, flags=re.MULTILINE)
	content = re.sub(r'```\s*$', '', content, flags=re.MULTILINE)

	files[filename] = content

	# If no files were parsed, treat as single app.py
	if not files:
	# Clean up code blocks
	clean_code = re.sub(r'^```\w\s', '', code, flags=re.MULTILINE)
	clean_code = re.sub(r'```\s*$', '', clean_code, flags=re.MULTILINE)
	files['app.py'] = clean_code.strip()

	return files


	def is_streamlit_code(code: str) -> bool:
	"""Check if code is Streamlit"""
	return 'import streamlit' in code or 'streamlit.run' in code


	def is_gradio_code(code: str) -> bool:
	"""Check if code is Gradio"""
	return 'import gradio' in code or 'gr.' in code


	def detect_sdk_from_code(code: str, language: str) -> str:
	"""Detect the appropriate SDK from code and language"""
	if language == "html":
	return "static"
	elif language == "transformers.js":
	return "static"
	elif language == "comfyui":
	return "static"
	elif language == "react":
	return "docker"
	elif language == "streamlit" or is_streamlit_code(code):
	return "docker"
	elif language == "gradio" or is_gradio_code(code):
	return "gradio"
	else:
	return "gradio" # Default


	def add_anycoder_tag_to_readme(api, repo_id: str, app_port: Optional[int] = None) -> None:
	"""
	Download existing README, add anycoder tag and app_port if needed, and upload back.
	Preserves all existing README content and frontmatter.

	Args:
	api: HuggingFace API client
	repo_id: Repository ID (username/space-name)
	app_port: Optional port number to set for Docker spaces (e.g., 7860)
	"""
	try:
	import tempfile
	import re

	# Download the existing README
	readme_path = api.hf_hub_download(
	repo_id=repo_id,
	filename="README.md",
	repo_type="space"
	)

	# Read the existing README content
	with open(readme_path, 'r', encoding='utf-8') as f:
	content = f.read()

	# Parse frontmatter and content
	if content.startswith('---'):
	# Split frontmatter and body
	parts = content.split('---', 2)
	if len(parts) >= 3:
	frontmatter = parts[1].strip()
	body = parts[2] if len(parts) > 2 else ""

	# Check if tags already exist
	if 'tags:' in frontmatter:
	# Add anycoder to existing tags if not present
	if '- anycoder' not in frontmatter:
	frontmatter = re.sub(r'(tags:\s\n(?:\s-\s[^\n]+\n))', r'\1- anycoder\n', frontmatter)
	else:
	# Add tags section with anycoder
	frontmatter += '\ntags:\n- anycoder'

	# Add app_port if specified and not already present
	if app_port is not None and 'app_port:' not in frontmatter:
	frontmatter += f'\napp_port: {app_port}'

	# Reconstruct the README
	new_content = f"---\n{frontmatter}\n---{body}"
	else:
	# Malformed frontmatter, just add tags at the end of frontmatter
	new_content = content.replace('---', '---\ntags:\n- anycoder\n---', 1)
	else:
	# No frontmatter, add it at the beginning
	app_port_line = f'\napp_port: {app_port}' if app_port else ''
	new_content = f"---\ntags:\n- anycoder{app_port_line}\n---\n\n{content}"

	# Upload the modified README
	with tempfile.NamedTemporaryFile("w", suffix=".md", delete=False, encoding='utf-8') as f:
	f.write(new_content)
	temp_path = f.name

	api.upload_file(
	path_or_fileobj=temp_path,
	path_in_repo="README.md",
	repo_id=repo_id,
	repo_type="space"
	)

	os.unlink(temp_path)

	except Exception as e:
	print(f"Warning: Could not modify README.md to add anycoder tag: {e}")


	def create_dockerfile_for_streamlit(space_name: str) -> str:
	"""Create Dockerfile for Streamlit app"""
	return f"""FROM python:3.11-slim

	WORKDIR /app

	COPY requirements.txt .
	RUN pip install --no-cache-dir -r requirements.txt

	COPY . .

	EXPOSE 7860

	CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]
	"""


	def create_dockerfile_for_react(space_name: str) -> str:
	"""Create Dockerfile for React app"""
	return f"""FROM node:18-slim

	# Use existing node user
	USER node
	ENV HOME=/home/node
	ENV PATH=/home/node/.local/bin:$PATH

	WORKDIR /home/node/app

	COPY --chown=node:node package*.json ./
	RUN npm install

	COPY --chown=node:node . .
	RUN npm run build

	EXPOSE 7860

	CMD ["npm", "start", "--", "-p", "7860"]
	"""


	def deploy_to_huggingface_space(
	code: str,
	language: str,
	space_name: Optional[str] = None,
	token: Optional[str] = None,
	username: Optional[str] = None,
	description: Optional[str] = None,
	private: bool = False,
	existing_repo_id: Optional[str] = None,
	commit_message: Optional[str] = None
	) -> Tuple[bool, str, Optional[str]]:
	"""
	Deploy code to HuggingFace Spaces (create new or update existing)

	Args:
	code: Generated code to deploy
	language: Target language/framework (html, gradio, streamlit, react, transformers.js, comfyui)
	space_name: Name for the space (auto-generated if None, ignored if existing_repo_id provided)
	token: HuggingFace API token
	username: HuggingFace username
	description: Space description
	private: Whether to make the space private (only for new spaces)
	existing_repo_id: If provided (username/space-name), updates this space instead of creating new one
	commit_message: Custom commit message (defaults to "Deploy from anycoder" or "Update from anycoder")

	Returns:
	Tuple of (success: bool, message: str, space_url: Optional[str])
	"""
	if not token:
	token = os.getenv("HF_TOKEN")
	if not token:
	return False, "No HuggingFace token provided", None

	try:
	api = HfApi(token=token)

	# Determine if this is an update or new deployment
	is_update = existing_repo_id is not None

	if is_update:
	# Use existing repo
	repo_id = existing_repo_id
	space_name = existing_repo_id.split('/')[-1]
	username = existing_repo_id.split('/')[0] if '/' in existing_repo_id else username
	else:
	# Get username if not provided
	if not username:
	try:
	user_info = api.whoami()
	username = user_info.get("name") or user_info.get("preferred_username") or "user"
	except Exception as e:
	return False, f"Failed to get user info: {str(e)}", None

	# Generate space name if not provided or empty
	if not space_name or space_name.strip() == "":
	space_name = f"anycoder-{uuid.uuid4().hex[:8]}"
	print(f"[Deploy] Auto-generated space name: {space_name}")

	# Clean space name (no spaces, lowercase, alphanumeric + hyphens)
	space_name = re.sub(r'[^a-z0-9-]', '-', space_name.lower())
	space_name = re.sub(r'-+', '-', space_name).strip('-')

	# Ensure space_name is not empty after cleaning
	if not space_name:
	space_name = f"anycoder-{uuid.uuid4().hex[:8]}"
	print(f"[Deploy] Space name was empty after cleaning, regenerated: {space_name}")

	repo_id = f"{username}/{space_name}"
	print(f"[Deploy] Using repo_id: {repo_id}")

	# Detect SDK
	sdk = detect_sdk_from_code(code, language)

	# Create temporary directory for files
	with tempfile.TemporaryDirectory() as temp_dir:
	temp_path = Path(temp_dir)

	# Parse code based on language
	app_port = None # Track if we need app_port for Docker spaces
	use_individual_uploads = False # Flag for transformers.js

	if language == "transformers.js":
	try:
	files = parse_transformers_js_output(code)
	print(f"[Deploy] Parsed transformers.js files: {list(files.keys())}")

	# Log file sizes for debugging
	for fname, fcontent in files.items():
	if fcontent:
	print(f"[Deploy] {fname}: {len(fcontent)} characters")
	else:
	print(f"[Deploy] {fname}: EMPTY")

	# Validate all three files are present in the dict
	required_files = {'index.html', 'index.js', 'style.css'}
	missing_from_dict = required_files - set(files.keys())

	if missing_from_dict:
	error_msg = f"Failed to parse required files: {', '.join(sorted(missing_from_dict))}. "
	error_msg += f"Parsed files: {', '.join(files.keys()) if files else 'none'}. "
	error_msg += "Transformers.js apps require all three files (index.html, index.js, style.css). Please regenerate using the correct format."
	print(f"[Deploy] {error_msg}")
	return False, error_msg, None

	# Validate files have actual content (not empty or whitespace-only)
	empty_files = [name for name in required_files if not files.get(name, '').strip()]
	if empty_files:
	error_msg = f"Empty file content detected: {', '.join(sorted(empty_files))}. "
	error_msg += "All three files must contain actual code. Please regenerate with complete content."
	print(f"[Deploy] {error_msg}")
	return False, error_msg, None

	# Write transformers.js files to temp directory
	for filename, content in files.items():
	file_path = temp_path / filename
	print(f"[Deploy] Writing {filename} ({len(content)} chars) to {file_path}")
	file_path.write_text(content, encoding='utf-8')
	# Verify the write was successful
	written_size = file_path.stat().st_size
	print(f"[Deploy] Verified {filename}: {written_size} bytes on disk")

	# For transformers.js, we'll upload files individually (not via upload_folder)
	use_individual_uploads = True

	except Exception as e:
	print(f"[Deploy] Error parsing transformers.js: {e}")
	import traceback
	traceback.print_exc()
	return False, f"Error parsing transformers.js output: {str(e)}", None

	elif language == "html":
	html_code = parse_html_code(code)
	(temp_path / "index.html").write_text(html_code, encoding='utf-8')

	elif language == "comfyui":
	# ComfyUI is JSON, wrap in stylized HTML viewer with download button
	html_code = prettify_comfyui_json_for_html(code)
	(temp_path / "index.html").write_text(html_code, encoding='utf-8')

	elif language in ["gradio", "streamlit"]:
	files = parse_multi_file_python_output(code)

	# Write Python files (create subdirectories if needed)
	for filename, content in files.items():
	file_path = temp_path / filename
	file_path.parent.mkdir(parents=True, exist_ok=True)
	file_path.write_text(content, encoding='utf-8')

	# Ensure requirements.txt exists - generate from imports if missing
	if "requirements.txt" not in files:
	# Get the main app file (app.py for gradio, streamlit_app.py or app.py for streamlit)
	main_app = files.get('streamlit_app.py') or files.get('app.py', '')
	if main_app:
	print(f"[Deploy] Generating requirements.txt from imports in {language} app")
	import_statements = extract_import_statements(main_app)
	requirements_content = generate_requirements_txt_with_llm(import_statements)
	(temp_path / "requirements.txt").write_text(requirements_content, encoding='utf-8')
	print(f"[Deploy] Generated requirements.txt with {len(requirements_content.splitlines())} lines")
	else:
	# Fallback to minimal requirements if no app file found
	if language == "gradio":
	(temp_path / "requirements.txt").write_text("gradio>=4.0.0\n", encoding='utf-8')
	elif language == "streamlit":
	(temp_path / "requirements.txt").write_text("streamlit>=1.30.0\n", encoding='utf-8')

	# Create Dockerfile if needed
	if sdk == "docker":
	if language == "streamlit":
	dockerfile = create_dockerfile_for_streamlit(space_name)
	(temp_path / "Dockerfile").write_text(dockerfile, encoding='utf-8')
	app_port = 7860 # Set app_port for Docker spaces
	use_individual_uploads = True # Streamlit uses individual file uploads

	elif language == "react":
	# Parse React output to get all files (uses same multi-file format as Python)
	files = parse_multi_file_python_output(code)

	if not files:
	return False, "Error: Could not parse React output", None

	# If Dockerfile is missing, use template
	if 'Dockerfile' not in files:
	dockerfile = create_dockerfile_for_react(space_name)
	files['Dockerfile'] = dockerfile

	# Write all React files (create subdirectories if needed)
	for filename, content in files.items():
	file_path = temp_path / filename
	file_path.parent.mkdir(parents=True, exist_ok=True)
	file_path.write_text(content, encoding='utf-8')

	app_port = 7860 # Set app_port for Docker spaces
	use_individual_uploads = True # React uses individual file uploads

	else:
	# Default: treat as Gradio app
	files = parse_multi_file_python_output(code)

	# Write files (create subdirectories if needed)
	for filename, content in files.items():
	file_path = temp_path / filename
	file_path.parent.mkdir(parents=True, exist_ok=True)
	file_path.write_text(content, encoding='utf-8')

	# Generate requirements.txt from imports if missing
	if "requirements.txt" not in files:
	main_app = files.get('app.py', '')
	if main_app:
	print(f"[Deploy] Generating requirements.txt from imports in default app")
	import_statements = extract_import_statements(main_app)
	requirements_content = generate_requirements_txt_with_llm(import_statements)
	(temp_path / "requirements.txt").write_text(requirements_content, encoding='utf-8')
	print(f"[Deploy] Generated requirements.txt with {len(requirements_content.splitlines())} lines")
	else:
	# Fallback to minimal requirements if no app file found
	(temp_path / "requirements.txt").write_text("gradio>=4.0.0\n", encoding='utf-8')

	# Don't create README - HuggingFace will auto-generate it
	# We'll add the anycoder tag after deployment

	# ONLY create repo for NEW deployments of non-Docker, non-transformers.js spaces
	# Docker and transformers.js handle repo creation separately below
	# This matches the Gradio version logic (line 1256 in ui.py)
	if not is_update and sdk != "docker" and language not in ["transformers.js"]:
	print(f"[Deploy] Creating NEW {sdk} space: {repo_id}")
	try:
	api.create_repo(
	repo_id=repo_id,
	repo_type="space",
	space_sdk=sdk,
	private=private,
	exist_ok=True
	)
	except Exception as e:
	return False, f"Failed to create space: {str(e)}", None
	elif is_update:
	print(f"[Deploy] UPDATING existing space: {repo_id} (skipping create_repo)")

	# Handle transformers.js spaces (create repo via duplicate_space)
	if language == "transformers.js":
	if not is_update:
	print(f"[Deploy] Creating NEW transformers.js space via template duplication")
	print(f"[Deploy] space_name value: '{space_name}' (type: {type(space_name)})")

	# Safety check for space_name
	if not space_name:
	return False, "Internal error: space_name is None after generation", None

	try:
	from huggingface_hub import duplicate_space

	# duplicate_space expects just the space name (not full repo_id)
	# Use strip() to clean the space name
	clean_space_name = space_name.strip()
	print(f"[Deploy] Attempting to duplicate template space to: {clean_space_name}")

	duplicated_repo = duplicate_space(
	from_id="static-templates/transformers.js",
	to_id=clean_space_name,
	token=token,
	exist_ok=True
	)
	print(f"[Deploy] Template duplication result: {duplicated_repo} (type: {type(duplicated_repo)})")
	except Exception as e:
	print(f"[Deploy] Exception during duplicate_space: {type(e).__name__}: {str(e)}")

	# Check if space actually exists (success despite error)
	space_exists = False
	try:
	if api.space_info(repo_id):
	space_exists = True
	except:
	pass

	# Handle RepoUrl object "errors"
	error_msg = str(e)
	if ("'url'" in error_msg or "RepoUrl" in error_msg) and space_exists:
	print(f"[Deploy] Space exists despite RepoUrl error, continuing with deployment")
	else:
	# Fallback to regular create_repo
	print(f"[Deploy] Template duplication failed, attempting fallback to create_repo: {e}")
	try:
	api.create_repo(
	repo_id=repo_id,
	repo_type="space",
	space_sdk="static",
	private=private,
	exist_ok=True
	)
	print(f"[Deploy] Fallback create_repo successful")
	except Exception as e2:
	return False, f"Failed to create transformers.js space (both duplication and fallback failed): {str(e2)}", None
	else:
	# For updates, verify we can access the existing space
	try:
	space_info = api.space_info(repo_id)
	if not space_info:
	return False, f"Could not access space {repo_id} for update", None
	except Exception as e:
	return False, f"Cannot update space {repo_id}: {str(e)}", None

	# Handle Docker spaces (React/Streamlit) - create repo separately
	elif sdk == "docker" and language in ["streamlit", "react"]:
	if not is_update:
	print(f"[Deploy] Creating NEW Docker space for {language}: {repo_id}")
	try:
	from huggingface_hub import create_repo as hf_create_repo
	hf_create_repo(
	repo_id=repo_id,
	repo_type="space",
	space_sdk="docker",
	token=token,
	exist_ok=True
	)
	except Exception as e:
	return False, f"Failed to create Docker space: {str(e)}", None

	# Upload files
	if not commit_message:
	commit_message = "Update from anycoder" if is_update else "Deploy from anycoder"

	try:
	if language == "transformers.js":
	# Special handling for transformers.js - create NEW temp files for each upload
	# This matches the working pattern in ui.py
	import time

	# Get the parsed files from earlier
	files_to_upload = [
	("index.html", files.get('index.html')),
	("index.js", files.get('index.js')),
	("style.css", files.get('style.css'))
	]

	max_attempts = 3
	for file_name, file_content in files_to_upload:
	if not file_content:
	return False, f"Missing content for {file_name}", None

	success = False
	last_error = None

	for attempt in range(max_attempts):
	temp_file_path = None
	try:
	# Create a NEW temp file for this upload (key difference from old approach)
	print(f"[Deploy] Creating temp file for {file_name} with {len(file_content)} chars")
	with tempfile.NamedTemporaryFile("w", suffix=f".{file_name.split('.')[-1]}", delete=False, encoding='utf-8') as f:
	f.write(file_content)
	f.flush() # Ensure all content is written to disk before closing
	temp_file_path = f.name
	# File is now closed and flushed, safe to upload

	# Verify temp file size before upload
	import os as _os
	temp_size = _os.path.getsize(temp_file_path)
	print(f"[Deploy] Temp file {file_name} size on disk: {temp_size} bytes (expected ~{len(file_content)} chars)")

	# Upload the file without commit_message (HF handles this for spaces)
	api.upload_file(
	path_or_fileobj=temp_file_path,
	path_in_repo=file_name,
	repo_id=repo_id,
	repo_type="space"
	)
	success = True
	print(f"[Deploy] Successfully uploaded {file_name}")
	break

	except Exception as e:
	last_error = e
	error_str = str(e)
	print(f"[Deploy] Upload error for {file_name}: {error_str}")
	if "403" in error_str or "Forbidden" in error_str:
	return False, f"Permission denied uploading {file_name}. Check your token has write access to {repo_id}.", None

	if attempt < max_attempts - 1:
	time.sleep(2) # Wait before retry
	print(f"[Deploy] Retry {attempt + 1}/{max_attempts} for {file_name}")
	finally:
	# Clean up temp file
	if temp_file_path and os.path.exists(temp_file_path):
	os.unlink(temp_file_path)

	if not success:
	return False, f"Failed to upload {file_name} after {max_attempts} attempts: {last_error}", None

	elif use_individual_uploads:
	# For React, Streamlit: upload each file individually
	import time

	# Get list of files to upload from temp directory
	files_to_upload = []
	for file_path in temp_path.rglob('*'):
	if file_path.is_file():
	# Get relative path from temp directory (use forward slashes for repo paths)
	rel_path = file_path.relative_to(temp_path)
	files_to_upload.append(str(rel_path).replace('\\', '/'))

	if not files_to_upload:
	return False, "No files to upload", None

	print(f"[Deploy] Uploading {len(files_to_upload)} files individually: {files_to_upload}")

	max_attempts = 3
	for filename in files_to_upload:
	# Convert back to Path for filesystem operations
	file_path = temp_path / filename.replace('/', os.sep)
	if not file_path.exists():
	return False, f"Failed to upload: {filename} not found", None

	# Upload with retry logic
	success = False
	last_error = None

	for attempt in range(max_attempts):
	try:
	# Upload without commit_message - HF API handles this for spaces
	api.upload_file(
	path_or_fileobj=str(file_path),
	path_in_repo=filename,
	repo_id=repo_id,
	repo_type="space"
	)
	success = True
	print(f"[Deploy] Successfully uploaded {filename}")
	break
	except Exception as e:
	last_error = e
	error_str = str(e)
	print(f"[Deploy] Upload error for {filename}: {error_str}")
	if "403" in error_str or "Forbidden" in error_str:
	return False, f"Permission denied uploading {filename}. Check your token has write access to {repo_id}.", None
	if attempt < max_attempts - 1:
	time.sleep(2) # Wait before retry
	print(f"[Deploy] Retry {attempt + 1}/{max_attempts} for {filename}")

	if not success:
	return False, f"Failed to upload {filename} after {max_attempts} attempts: {last_error}", None
	else:
	# For other languages, use upload_folder
	print(f"[Deploy] Uploading folder to {repo_id}")
	api.upload_folder(
	folder_path=str(temp_path),
	repo_id=repo_id,
	repo_type="space"
	)
	except Exception as e:
	return False, f"Failed to upload files: {str(e)}", None

	# After successful upload, modify the auto-generated README to add anycoder tag
	# For new spaces: HF auto-generates README, wait and modify it
	# For updates: README should already exist, just add tag if missing
	try:
	import time
	if not is_update:
	time.sleep(2) # Give HF time to generate README for new spaces
	add_anycoder_tag_to_readme(api, repo_id, app_port)
	except Exception as e:
	# Don't fail deployment if README modification fails
	print(f"Warning: Could not add anycoder tag to README: {e}")

	# For transformers.js updates, trigger a space restart to ensure changes take effect
	if is_update and language == "transformers.js":
	try:
	api.restart_space(repo_id=repo_id)
	print(f"[Deploy] Restarted space after update: {repo_id}")
	except Exception as restart_error:
	# Don't fail the deployment if restart fails, just log it
	print(f"Note: Could not restart space after update: {restart_error}")

	space_url = f"https://huggingface.co/spaces/{repo_id}"
	action = "Updated" if is_update else "Deployed"
	return True, f"✅ {action} successfully to {repo_id}!", space_url

	except Exception as e:
	print(f"[Deploy] Top-level exception caught: {type(e).__name__}: {str(e)}")
	import traceback
	traceback.print_exc()
	return False, f"Deployment error: {str(e)}", None


	def update_space_file(
	repo_id: str,
	file_path: str,
	content: str,
	token: Optional[str] = None,
	commit_message: Optional[str] = None
	) -> Tuple[bool, str]:
	"""
	Update a single file in an existing HuggingFace Space

	Args:
	repo_id: Full repo ID (username/space-name)
	file_path: Path of file to update (e.g., "app.py")
	content: New file content
	token: HuggingFace API token
	commit_message: Commit message (default: "Update {file_path}")

	Returns:
	Tuple of (success: bool, message: str)
	"""
	if not token:
	token = os.getenv("HF_TOKEN")
	if not token:
	return False, "No HuggingFace token provided"

	try:
	api = HfApi(token=token)

	if not commit_message:
	commit_message = f"Update {file_path}"

	# Create temporary file
	with tempfile.NamedTemporaryFile(mode='w', suffix=f'.{file_path.split(".")[-1]}', delete=False) as f:
	f.write(content)
	temp_path = f.name

	try:
	api.upload_file(
	path_or_fileobj=temp_path,
	path_in_repo=file_path,
	repo_id=repo_id,
	repo_type="space",
	commit_message=commit_message
	)
	return True, f"✅ Successfully updated {file_path}"
	finally:
	os.unlink(temp_path)

	except Exception as e:
	return False, f"Failed to update file: {str(e)}"


	def delete_space(
	repo_id: str,
	token: Optional[str] = None
	) -> Tuple[bool, str]:
	"""
	Delete a HuggingFace Space

	Args:
	repo_id: Full repo ID (username/space-name)
	token: HuggingFace API token

	Returns:
	Tuple of (success: bool, message: str)
	"""
	if not token:
	token = os.getenv("HF_TOKEN")
	if not token:
	return False, "No HuggingFace token provided"

	try:
	api = HfApi(token=token)
	api.delete_repo(repo_id=repo_id, repo_type="space")
	return True, f"✅ Successfully deleted {repo_id}"
	except Exception as e:
	return False, f"Failed to delete space: {str(e)}"


	def list_user_spaces(
	username: Optional[str] = None,
	token: Optional[str] = None
	) -> Tuple[bool, str, Optional[List[Dict]]]:
	"""
	List all spaces for a user

	Args:
	username: HuggingFace username (gets from token if None)
	token: HuggingFace API token

	Returns:
	Tuple of (success: bool, message: str, spaces: Optional[List[Dict]])
	"""
	if not token:
	token = os.getenv("HF_TOKEN")
	if not token:
	return False, "No HuggingFace token provided", None

	try:
	api = HfApi(token=token)

	# Get username if not provided
	if not username:
	user_info = api.whoami()
	username = user_info.get("name") or user_info.get("preferred_username")

	# List spaces
	spaces = api.list_spaces(author=username)

	space_list = []
	for space in spaces:
	space_list.append({
	"id": space.id,
	"author": space.author,
	"name": getattr(space, 'name', space.id.split('/')[-1]),
	"sdk": getattr(space, 'sdk', 'unknown'),
	"private": getattr(space, 'private', False),
	"url": f"https://huggingface.co/spaces/{space.id}"
	})

	return True, f"Found {len(space_list)} spaces", space_list

	except Exception as e:
	return False, f"Failed to list spaces: {str(e)}", None