File size: 2,369 Bytes
d1999e7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | import asyncio
import edge_tts
import pandas as pd
import os
from tqdm import tqdm # progress bar
# ================= Configuration =================
INPUT_FILE = ""
OUTPUT_DIR = ""
VOICE = "en-US-GuyNeural"
# ===========================================
async def generate_speech(code, text, output_path):
"""
Generate one speech clip.
"""
try:
communicate = edge_tts.Communicate(text, VOICE)
await communicate.save(output_path)
# Use tqdm.write instead of print so the progress bar layout stays intact
tqdm.write(f"[OK] Saved {code}.mp3")
return True
except Exception as e:
tqdm.write(f"[FAIL] {code}.mp3: {e}")
return False
async def amain():
# 1. Ensure output directory exists
if not os.path.exists(OUTPUT_DIR):
os.makedirs(OUTPUT_DIR)
tqdm.write(f"Created output directory: {OUTPUT_DIR}")
# 2. Load Excel
try:
df = pd.read_excel(INPUT_FILE)
# Strip column names
df.columns = df.columns.str.strip()
if 'code' not in df.columns or 'sentence' not in df.columns:
tqdm.write("Error: Excel must contain 'code' and 'sentence' columns")
return
except FileNotFoundError:
tqdm.write(f"Error: file not found: {INPUT_FILE}")
return
except Exception as e:
tqdm.write(f"Error reading Excel: {e}")
return
total_count = len(df)
tqdm.write(f"Starting: {total_count} row(s)...")
# 3. Iterate rows with tqdm
# desc: label on the left of the bar
# unit: bar unit
# total: row count for percentage
for index, row in tqdm(df.iterrows(), total=total_count, desc="Progress", unit="row"):
code = str(row['code']).strip()
sentence = str(row['sentence']).strip()
# Skip empty sentences
if not sentence:
tqdm.write(f"[SKIP] row {index}: empty sentence")
continue
# Sanitize code for use in filenames
safe_code = "".join([c for c in code if c not in r'\/:*?"<>|'])
# Output path
output_file = os.path.join(OUTPUT_DIR, f"{safe_code}.mp3")
# Synthesize
await generate_speech(safe_code, sentence, output_file)
tqdm.write("All tasks finished.")
if __name__ == "__main__":
asyncio.run(amain()) |