browser text to mp3 , using pyton code,

 !pip install edge-tts   #part1 worked , read web url content and mp3

# worked part2, without code optimization.

import requests

from bs4 import BeautifulSoup

import re

import asyncio

import edge_tts

# Blog URL

url = "https://prabodhadevotee.blogspot.com/2025/01/test.html"

# Start and end phrases

start_phrase = "ఆఖరీ మరణము"

end_phrase = "ప్రబోధానంద యోగీశ్వర్లు"

# Step 1: Fetch and parse the content

response = requests.get(url)

soup = BeautifulSoup(response.content, "html.parser")

full_text = soup.get_text()

# Step 2: Extract desired section

pattern = re.compile(f"{re.escape(start_phrase)}(.*?){re.escape(end_phrase)}", re.DOTALL)

match = pattern.search(full_text)

if match:

    selected_text = start_phrase + match.group(1) + end_phrase

else:

    raise Exception("Text range not found between given start and end phrases.")

# Optional: Clean unwanted line breaks

selected_text = re.sub(r'\s+', ' ', selected_text).strip()

# Step 3: Use Edge-TTS for Telugu Male voice (Microsoft Mohan)

voice = "te-IN-MohanNeural"  # Telugu, Male voice

# Output path

output_path = "/content/output.mp3"

# Step 4: Async function to convert to speech

async def save_tts(text, voice, output_path):

    communicate = edge_tts.Communicate(text, voice)

    await communicate.save(output_path)

# Run async function

await save_tts(selected_text, voice, output_path)

print(f"✅ Audio saved to: {output_path}")

Part 1: Code Logic Explanation

🔹 1. requests + BeautifulSoup

We download the webpage using requests.get(url) and parse it with BeautifulSoup to extract the entire text content of the blog.

🔹 2. Regex Search

We define a start phrase and end phrase, then use Python's re module to extract only the portion of text between those two Telugu phrases.

python
pattern = re.compile(f"{re.escape(start_phrase)}(.*?){re.escape(end_phrase)}", re.DOTALL)

This ensures we only convert a specific part of the blog to speech.

🔹 3. edge-tts

We use Microsoft Edge TTS API via the edge-tts library. It supports natural-sounding Indian Telugu voices like te-IN-MohanNeural.

python
communicate = edge_tts.Communicate(text, voice)
await communicate.save(output_path)