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import base64 | |
import re | |
def insert_description(sentence, character, description): | |
""" | |
Integrates the character and its description at the beginning of the sentence if the character is mentioned. | |
Parameters: | |
- sentence (str): The original sentence. | |
- character (str): The character to be described. | |
- description (str): The description of the character. | |
Returns: | |
str: The sentence modified to include the character and description at the beginning. | |
""" | |
# Inserts character and description at the beginning of the sentence if the character is found. | |
character = character.lower() | |
# Remove everything after the newline character | |
cleaned_description = re.sub(r'\n.*', '', description) | |
# Remove non-alphabetic characters and quotes from the description | |
cleaned_description = re.sub(r'[^a-zA-Z\s,]', '', cleaned_description).replace("'", '').replace('"', '') | |
# Check if the character appears in the sentence | |
if character in sentence.lower(): | |
# Insert the character and its description at the beginning of the sentence | |
modified_sentence = f"{character}: {cleaned_description.strip()}. {sentence}" | |
return modified_sentence | |
else: | |
return sentence | |
def process_text(sentence, character_dict): | |
""" | |
Enhances the given sentence by incorporating descriptions for each mentioned character. | |
Parameters: | |
- sentence (str): The original sentence. | |
- character_dict (dict): Dictionary mapping characters to their descriptions. | |
Returns: | |
str: The sentence with integrated character descriptions. | |
""" | |
# Modifies sentences in the given text based on character descriptions. | |
modified_sentence = sentence # Initialize with the original sentence | |
# Iterate through each character in the dictionary | |
for character, descriptions in character_dict.items(): | |
for description in descriptions: | |
# Update the sentence with the character and its description | |
modified_sentence = insert_description(modified_sentence, character, description) | |
return modified_sentence | |
def generate_prompt(text, sentence_mapping, character_dict, selected_style): | |
""" | |
Generates a prompt for image generation based on the selected style and input text. | |
Parameters: | |
- style (str): The chosen illustration style. | |
- text (str): The input text for the illustration. | |
Returns: | |
tuple: A prompt string. | |
""" | |
# Retrieve the enhanced sentence associated with the original text | |
enhanced_sentence = sentence_mapping.get(text, text) | |
image_descriptions = process_text(enhanced_sentence, character_dict) | |
# Define prompts and other parameters | |
prompt = f"Make an illustration in {selected_style} style from: {image_descriptions}" | |
return prompt | |