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Pacificocean1912 patch 1 #46

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Pacificocean1912 patch 1 #46

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3690f96
Update data_processing_common.py
pacificocean1912 Feb 4, 2025
2a56547
Update image_data_processing.py
pacificocean1912 Feb 4, 2025
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4 changes: 2 additions & 2 deletions data_processing_common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -198,7 +198,7 @@ def execute_operations(operations, dry_run=False, silent=False, log_file=None):
# Silent mode handling
if silent:
if log_file:
with open(log_file, 'a') as f:
with open(log_file, 'a', encoding="utf-8") as f:
f.write(message + '\n')
else:
print(message)
print(message)
10 changes: 8 additions & 2 deletions image_data_processing.py
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Expand Up @@ -41,7 +41,7 @@ def process_single_image(image_path, image_inference, text_inference, silent=Fal
message = f"File: {image_path}\nTime taken: {time_taken:.2f} seconds\nDescription: {description}\nFolder name: {foldername}\nGenerated filename: {filename}\n"
if silent:
if log_file:
with open(log_file, 'a') as f:
with open(log_file, 'a', encoding='utf-8') as f:
f.write(message + '\n')
else:
print(message)
Expand Down Expand Up @@ -145,7 +145,13 @@ def clean_ai_output(text, max_words):
# Split concatenated words (e.g., 'GoogleChrome' -> 'Google Chrome')
text = re.sub(r'([a-z])([A-Z])', r'\1 \2', text)
# Tokenize and lemmatize words
words = word_tokenize(text)
try:
words = word_tokenize(text)
except LookupError:
print(f"Error tokenizing text: {text}")
import nltk
nltk.download()
words = word_tokenize(text)
words = [word.lower() for word in words if word.isalpha()]
words = [lemmatizer.lemmatize(word) for word in words]
# Remove unwanted words and duplicates
Expand Down