Rename utils.py to deploy.py
Browse files
deploy.py
ADDED
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@@ -0,0 +1,94 @@
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def send_to_sandbox(code):
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wrapped_code=f"""
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="UTF-8">
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...
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</body>
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</html>
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"""
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encoded_html=base64.b64encode(wrapped_code.encode('utf-8')).decode('utf-8')
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data_uri=f"data:text/html;charset=utf-8;base64,{encoded_html}"
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return f'<iframe src="{data_uri}" width="100%" height="920px" sandbox="allow-scripts allow-same-origin allow-forms allow-popups allow-modals allow-presentation" allow="display-capture"></iframe>'
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def demo_card_click(e: gr.EventData):
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...
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return DEMO_LIST[index]['description']
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def wrap_html_in_gradio_app(html_code):
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safe_html=html_code.replace('"""',r'\"\"\"')
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return (
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'import gradio as gr\n\n'
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'def show_html():\n'
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f' return """{safe_html}"""\n\n'
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'demo = gr.Interface(fn=show_html, inputs=None, outputs=gr.HTML())\n\n'
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'if __name__ == "__main__":\n'
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' demo.launch()\n'
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)
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def deploy_to_spaces(code):
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if not code.strip(): return
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app_py=wrap_html_in_gradio_app(code.strip())
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...
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webbrowser.open_new_tab(full_url)
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def wrap_html_in_static_app(html_code):
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return html_code
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def deploy_to_spaces_static(code):
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if not code.strip(): return
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app_html=wrap_html_in_static_app(code.strip())
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...
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webbrowser.open_new_tab(full_url)
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def check_hf_space_url(url: str) -> Tuple[bool, Optional[str], Optional[str]]:
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import re
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url_pattern=re.compile(
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r'^(https?://)?(huggingface\.co|hf\.co)/spaces/([\w-]+)/([\w-]+)$',
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re.IGNORECASE
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)
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match=url_pattern.match(url.strip())
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if match:
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return True, match.group(3), match.group(4)
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return False, None, None
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def fetch_hf_space_content(username: str, project_name: str) -> str:
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try:
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api=HfApi()
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space_info=api.space_info(f"{username}/{project_name}")
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sdk=space_info.sdk
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...
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return f"""IMPORTED PROJECT FROM HUGGING FACE SPACE
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==============================================
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Space: {username}/{project_name}
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SDK: {sdk}
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Main File: {main_file}
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{file_content}"""
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except Exception as e:
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return f"Error fetching space content: {str(e)}"
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def load_project_from_url(url: str) -> Tuple[str, str]:
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is_valid,username,project_name=check_hf_space_url(url)
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if not is_valid:
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return "Error: Please enter a valid Hugging Face Spaces URL.\n\nExpected format: https://huggingface.co/spaces/username/project",""
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content=fetch_hf_space_content(username,project_name)
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if content.startswith("Error:"):
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return content,""
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lines=content.split('\n')
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code_start=0
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for i,line in enumerate(lines):
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if line.strip() and not line.startswith(('=','IMPORTED','Space:','SDK:','Main File:')):
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code_start=i
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break
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code_content='\n'.join(lines[code_start:])
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return f"✅ Successfully imported project from {username}/{project_name}",code_content
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def deploy_to_user_space(code, space_name, sdk_name, profile=None, token=None):
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import shutil
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if not code.strip():
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return gr.update(value="No code to deploy.", visible=True)
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if profile is None or token is None:
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return gr.update(value="Please log in with your Hugging Face account to deploy to your own Space. Otherwise, use the default deploy (opens in new tab).", visible=True)
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...
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return gr.update(value=f"✅ {action_text}! [Open your Space here]({space_url})", visible=True)
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utils.py
DELETED
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@@ -1,50 +0,0 @@
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# /utils.py
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""" A collection of utility functions for data manipulation and formatting. """
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import base64, io, re, logging
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from typing import Dict, List, Optional, Tuple, Any
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import numpy as np
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from PIL import Image
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from config import SEARCH_START, DIVIDER, REPLACE_END, GRADIO_SUPPORTED_LANGUAGES
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History = List[Tuple[Optional[str], Optional[str]]]
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Messages = List[Dict[str, Any]]
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def history_to_messages(history: History, system_prompt: str) -> Messages:
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messages: Messages = [{'role': 'system', 'content': system_prompt}]
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for user_msg, assistant_msg in history:
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if user_msg: messages.append({'role': 'user', 'content': user_msg})
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if assistant_msg: messages.append({'role': 'assistant', 'content': assistant_msg})
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return messages
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def history_to_chatbot_messages(history: History) -> Messages:
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messages: Messages = []
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for user_msg, assistant_msg in history:
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display_text = ""
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if isinstance(user_msg, list): display_text = next((item.get("text", "") for item in user_msg if isinstance(item, dict) and item.get("type") == "text"), "")
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elif user_msg: display_text = user_msg
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if display_text: messages.append({"role": "user", "content": display_text})
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if assistant_msg: messages.append({"role": "assistant", "content": assistant_msg})
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return messages
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def process_image_for_model(image_data: np.ndarray) -> str:
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pil_img = Image.fromarray(image_data)
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buffer = io.BytesIO()
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pil_img.save(buffer, format="PNG")
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return f"data:image/png;base64,{base64.b64encode(buffer.getvalue()).decode('utf-8')}"
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def remove_code_block(text: str) -> str:
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pattern = r'```[a-zA-Z]*\s*\n?(.*?)\n?```'
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match = re.search(pattern, text, re.DOTALL)
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return match.group(1).strip() if match else text.strip()
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def apply_search_replace_changes(original_code: str, changes_text: str) -> str:
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modified_code = original_code
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block_pattern = re.compile(rf"^{SEARCH_START}\n(.*?)\n^{DIVIDER}\n(.*?)\n^{REPLACE_END}", re.DOTALL | re.MULTILINE)
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for match in block_pattern.finditer(changes_text):
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search_content, replace_content = match.groups()
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if search_content in modified_code: modified_code = modified_code.replace(search_content, replace_content, 1)
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else: logging.warning(f"Search block not found: {search_content[:100]}")
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return modified_code
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def get_gradio_language(language: str) -> Optional[str]:
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return language if language in GRADIO_SUPPORTED_LANGUAGES else None
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