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from smolagents.tools import Tool | |
import string | |
import json | |
import pronouncing | |
class ParodyWordSuggestionTool(Tool): | |
name = "parody_word_suggester" | |
description = """Suggests phonetically similar funny words using CMU dictionary pronunciations. | |
Returns similar words from a curated list of funny words, along with their similarity scores.""" | |
inputs = {'target': {'type': 'string', 'description': 'The word you want to find funny alternatives for'}, 'word_list_str': {'type': 'string', 'description': 'JSON string of word list (e.g. \'["word1", "word2"]\')'}, 'min_similarity': {'type': 'string', 'description': 'Minimum similarity threshold (0.0-1.0)', 'nullable': True}} | |
output_type = "string" | |
def forward(self, target: str, word_list_str: str, min_similarity: str = "0.7") -> str: | |
"""Get phonetically similar funny word suggestions.""" | |
import pronouncing | |
import string | |
import json | |
target = target.lower().strip(string.punctuation) | |
min_similarity = float(min_similarity) | |
suggestions = [] | |
# Parse JSON string to list | |
try: | |
words = json.loads(word_list_str) | |
except json.JSONDecodeError: | |
return json.dumps({ | |
"error": "Invalid JSON string for word_list_str", | |
"suggestions": [] | |
}, indent=2) | |
# Get target pronunciation | |
target_phones = pronouncing.phones_for_word(target) | |
if not target_phones: | |
return json.dumps({ | |
"error": f"'{target}' not found in CMU dictionary", | |
"suggestions": [] | |
}, indent=2) | |
target_phones = target_phones[0] # Change: Don't split here | |
# Check each word | |
for word in words: | |
phones = pronouncing.phones_for_word(word) | |
if phones: # Only process if word is in dictionary | |
phones = phones[0] # Change: Don't split this either | |
# Calculate similarity using overlap (modifying to work with full phone strings) | |
overlap = len(set(phones.split()) & set(target_phones.split())) | |
total = min(len(phones.split()), len(target_phones.split())) | |
similarity = overlap / total if total > 0 else 0.0 | |
if similarity >= min_similarity: | |
suggestions.append({ | |
"word": word, | |
"similarity": round(similarity, 3), | |
"syllables": pronouncing.syllable_count(phones) # This should work now as phones is a string | |
}) | |
# Sort by similarity score descending | |
suggestions.sort(key=lambda x: x["similarity"], reverse=True) | |
result = { | |
"target": target, | |
"target_syllables": pronouncing.syllable_count(target_phones), | |
"suggestions": suggestions | |
} | |
return json.dumps(result, indent=2) | |
def __init__(self, *args, **kwargs): | |
self.is_initialized = False | |