Create utils.py
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utils.py
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# /utils.py
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"""
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A collection of utility functions for data manipulation and formatting.
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This module provides helpers for tasks like converting chat history formats,
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processing images for multimodal models, cleaning model outputs, and
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applying code modifications.
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"""
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import base64
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import io
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import re
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from typing import Dict, List, Optional, Tuple
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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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# --- Type Definitions ---
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History = List[Tuple[Optional[str], Optional[str]]]
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Messages = List[Dict[str, any]]
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# --- History and Message Conversion ---
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def history_to_messages(history: History, system_prompt: str) -> Messages:
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"""Converts Gradio's history format to the list of messages format for an API call."""
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messages = [{'role': 'system', 'content': system_prompt}]
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for user_msg, assistant_msg in history:
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# Handle potential multimodal user message (which comes as a list)
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if isinstance(user_msg, list):
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# Find the text part of the message for history
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text_content = next((item.get("text", "") for item in user_msg if isinstance(item, dict) and item.get("type") == "text"), "")
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messages.append({'role': 'user', 'content': text_content})
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elif user_msg:
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messages.append({'role': 'user', 'content': user_msg})
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if assistant_msg:
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messages.append({'role': 'assistant', 'content': assistant_msg})
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return messages
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def messages_to_history(messages: Messages) -> History:
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"""Converts a list of messages back to Gradio's history format."""
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history = []
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# Skip system message at index 0
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for i in range(1, len(messages), 2):
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user_msg = messages[i]['content']
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assistant_msg = messages[i+1]['content'] if (i+1) < len(messages) else ""
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history.append((user_msg, assistant_msg))
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return history
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# --- Image Processing ---
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def process_image_for_model(image_data: np.ndarray) -> str:
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"""Converts a NumPy image array to a base64-encoded string."""
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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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img_str = base64.b64encode(buffer.getvalue()).decode("utf-8")
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return f"data:image/png;base64,{img_str}"
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# --- Code Manipulation ---
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def remove_code_block(text: str) -> str:
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"""Extracts code from a markdown-style code block."""
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pattern = r'```(?:[a-zA-Z]+)?\n(.*?)\n```'
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match = re.search(pattern, text, re.DOTALL)
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if match:
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return match.group(1).strip()
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return text.strip()
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def apply_search_replace(original_code: str, change_block: str) -> str:
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"""Applies a single search-and-replace block to the code."""
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try:
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parts = re.split(f"^{DIVIDER}$", change_block, flags=re.MULTILINE)
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if len(parts) != 2: return original_code # Invalid block
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search_part, replace_part = parts
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search_content = search_part.replace(SEARCH_START, "").strip()
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replace_content = replace_part.replace(REPLACE_END, "").strip()
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# To insert, search block is empty or just contains the line before insertion
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if not search_content:
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# Inserting at the beginning
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return replace_content + "\n" + original_code
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if search_content in original_code:
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return original_code.replace(search_content, replace_content)
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else:
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# Handle insertion case where `search_content` is the line *before* insertion point
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# and `replace_content` includes that line plus the new code.
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# This is a common pattern LLMs use.
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# We can simply return the original code, as more advanced logic is needed to reliably handle this.
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print(f"Warning: Search block not found:\n---\n{search_content}\n---")
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return original_code
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except Exception as e:
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print(f"Error applying changes: {e}")
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return original_code
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def get_gradio_language(language: str) -> Optional[str]:
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"""Returns the language name if supported by Gradio, otherwise None."""
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return language if language in GRADIO_SUPPORTED_LANGUAGES else None
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