uts2025_vietipa / example_usage.py
Vu Anh
Convert dataset to JSONL format for better Hugging Face compatibility
ee3f5c5
#!/usr/bin/env python3
import json
import pandas as pd
import os
def load_dataset(jsonl_file="vietnamese_ipa_dataset.jsonl"):
records = []
with open(jsonl_file, "r", encoding="utf-8") as f:
for line in f:
records.append(json.loads(line))
df = pd.DataFrame(records)
return df
def search_word(word, df):
result = df[df["word"].str.contains(word, case=False, na=False)]
if not result.empty:
return result.to_dict("records")
return None
def play_audio(audio_file):
if os.path.exists(audio_file):
if os.name == "posix": # Unix/Linux/Mac
os.system(f"afplay {audio_file} 2>/dev/null || open {audio_file}")
elif os.name == "nt": # Windows
os.system(f"start {audio_file}")
return True
return False
def main():
print("Vietnamese IPA Dataset Example Usage")
print("=" * 50)
df = load_dataset()
print(f"\nDataset loaded: {len(df)} words")
print("\nFirst 10 entries:")
print("-" * 50)
for idx, row in df.head(10).iterrows():
audio_path = row["audio"]["path"] if isinstance(row["audio"], dict) else row["audio"]
print(
f"{idx + 1}. {row['word']:<15} IPA: {row['ipa']:<25} Audio: {audio_path}"
)
print("\n" + "=" * 50)
print("\nInteractive Mode (type 'quit' to exit)")
print("-" * 50)
while True:
query = input("\nEnter a Vietnamese word to search (or 'quit'): ").strip()
if query.lower() == "quit":
break
results = search_word(query, df)
if results:
print(f"\nFound {len(results)} result(s):")
for i, result in enumerate(results, 1):
audio_path = result["audio"]["path"] if isinstance(result["audio"], dict) else result["audio"]
print(f"\n {i}. Word: {result['word']}")
print(f" IPA: {result['ipa']}")
print(f" Audio: {audio_path}")
play_choice = input(" Play audio? (y/n): ").strip().lower()
if play_choice == "y":
if play_audio(audio_path):
print(" ✓ Playing audio...")
else:
print(" ✗ Audio file not found")
else:
print(f"No results found for '{query}'")
print("\nGoodbye!")
if __name__ == "__main__":
main()