Simple Text-to-speech code python

1. install EdgeTts

        pip install edge-tts pydub

2. Write the code and save as .py ..

import asyncio

import edge_tts

from pydub import AudioSegment

import os

# ------------------------

# Settings

# ------------------------

input_file = "script.txt"   # Your text file

output_file = "oput.mp3"  # Final MP3

voice = "en-US-GuyNeural"  # Neutral natural voice

chunk_size = 200           # Characters per chunk

pause_duration = 70        # Milliseconds pause between chunks

# ------------------------

# Function to split text into manageable chunks

def split_text(text, size):

    chunks = []

    while len(text) > size:

        split_at = text.rfind('.', 0, size)

        if split_at == -1:

            split_at = size

        chunks.append(text[:split_at+1].strip())

        text = text[split_at+1:].strip()

    if text:

        chunks.append(text)

    return chunks

async def main():

    # Read the text file

    if not os.path.exists(input_file):

        print(f"Error: {input_file} not found!")

        return

    with open(input_file, "r", encoding="utf-8") as f:

        text = f.read()

    chunks = split_text(text, chunk_size)

    audio_segments = []

    pause = AudioSegment.silent(duration=pause_duration)  # ✅ works everywhere

    for i, chunk in enumerate(chunks):

        temp_file = f"chunk_{i}.mp3"

        communicate = edge_tts.Communicate(chunk, voice)

        await communicate.save(temp_file)

        audio_segments.append(AudioSegment.from_mp3(temp_file))

        audio_segments.append(pause)  # add pause

        print(f"Processed chunk {i+1}/{len(chunks)}")

    # Merge all chunks into one MP3

    combined = AudioSegment.empty()

    for segment in audio_segments:

        combined += segment

    combined.export(output_file, format="mp3")

    print(f"\nDone! Saved as {output_file}, ready for YouTube.")

    # Cleanup temp files

    for i in range(len(chunks)):

        temp_file = f"chunk_{i}.mp3"

        if os.path.exists(temp_file):

            os.remove(temp_file)

# Run the async function

asyncio.run(main())

3. requirement-

script.txt file should be in same folder where your .py exist