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.ιo dᥱvs

.ιo dᥱvs

Canal cerrado

# CodeChatConquer അടിച്ച് കേറി വാ.......! 🏃‍ A community with a goal to make everything free!! LETZ BUILD THE FUTURE

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📈 Análisis del canal de Telegram .ιo dᥱvs

El canal .ιo dᥱvs en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 20 068 suscriptores, ocupando la posición 6 741 en la categoría Tecnologías y Aplicaciones y el puesto 22 106 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 20 068 suscriptores.

Según los últimos datos del 12 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 642, y en las últimas 24 horas de 23, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 17.90%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 3 593 visualizaciones. En el primer día suele acumular 0 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 10.
  • Intereses temáticos: El contenido se centra en temas clave como insidead, pip, req, storage, ᴛʜᴇ.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
# CodeChatConquer അടിച്ച് കേറി വാ.......! 🏃‍ A community with a goal to make everything free!! LETZ BUILD THE FUTURE

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 13 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

20 068
Suscriptores
+2324 horas
+1837 días
+64230 días
Archivo de publicaciones
stranger things S5 Available at @Movie_l_Bot

Will be Great-full if you all could put max reactions on all messages 😘
Small help ya 😅

Few more slots left. Get the offer guys and support us ❤️‍🔥

UPDATES - MEGA DOWNLOADER At The Final STAGES.. ! @botio_devs | @Appuz_007
UPDATES - MEGA DOWNLOADER At The Final STAGES.. !
@botio_devs | @Appuz_007

GUYS!! I think sevalla.com stopped their free tier for free. Now they needs CC to access their free credits. 🤐 Found the issues today.! 💔 Can you guys check if its true for new accounts 🥲 I Think Render is the only service that gives free hosting as of now 🥰!! Know any free alternatives! 🙎🤷
@botio_devs | @Appuz_007

You can add your bots to the channel to automate forwarding 😌
Avalil The OFFER Today. Closes SOON 🥀

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DM @Appuz_007 LIMITED SEATS AND OFFER!!

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Need a quick response guys. Mark your genuine responses, and feel free to drop your valuable comments 💬

Guys, If i make a service that can help you to stream any video in different qualities such as 360p, 720p, 1080p etc.., who all will be willing to pay rs 20 per 1000 minutes?
Anonymous voting

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DM Me, @Appuz_007

No SUPPORT?? 🥲
REACTIONS = SUPPORT 😘

𝖚𝖕𝖉𝖆𝖙𝖊𝖘 | 𝓕𝓲𝓵𝓮 𝓽𝓸 𝓛𝓲𝓷𝓴 𝓑𝓸𝓽
🔧 File Renewal Issue Resolvedꜰɪʟᴇꜱ ᴛʜᴀᴛ ᴡᴇʀᴇ ᴘʀᴇᴠɪᴏᴜꜱʟʏ ᴇxᴘɪʀᴇᴅ ᴡᴏᴜʟᴅ ꜱᴛɪʟʟ ʀᴇᴛᴜʀɴ ᴀ “ꜰɪʟᴇ ᴇxᴘɪʀᴇᴅ” ᴍᴇꜱꜱᴀɢᴇ ᴇᴠᴇɴ ᴀꜰᴛᴇʀ ᴜꜱᴇʀꜱ ʀᴇ-ᴜᴘʟᴏᴀᴅᴇᴅ ᴛʜᴇᴍ. ᴛʜɪꜱ ʜᴀꜱ ɴᴏᴡ ʙᴇᴇɴ ꜰɪxᴇᴅ — ʀᴇ-ꜱᴇɴᴅɪɴɢ ᴀɴ ᴇxᴘɪʀᴇᴅ ꜰɪʟᴇ ᴡɪʟʟ ᴄᴏʀʀᴇᴄᴛʟʏ ʀᴇꜰʀᴇꜱʜ ᴀɴᴅ ᴇxᴛᴇɴᴅ ᴛʜᴇ ꜰɪʟᴇ’ꜱ ᴇxᴘɪʀʏ ᴛɪᴍᴇ. ⚙️ Minor Enhancements ▹ɪᴍᴘʀᴏᴠᴇᴅ ᴅᴏᴡɴʟᴏᴀᴅ ɴᴏᴅᴇ ʜᴀɴᴅʟɪɴɢ ꜰᴏʀ ꜰᴀꜱᴛᴇʀ ᴀɴᴅ ᴍᴏʀᴇ ꜱᴛᴀʙʟᴇ ᴘᴇʀꜰᴏʀᴍᴀɴᴄᴇ ▹ᴀᴅᴅᴇᴅ ᴀᴅᴅɪᴛɪᴏɴᴀʟ ɴᴏᴅᴇꜱ ꜰᴏʀ ʙᴇᴛᴛᴇʀ ᴅɪꜱᴛʀɪʙᴜᴛɪᴏɴ ᴀɴᴅ ʀᴇʟɪᴀʙɪʟɪᴛʏ
✕ COMMENT ANY OTHER BOTS ISSUES/ERRORS 💭
@botio_devs | @Appuz_007

#MEGA_DOWNLOADER One more step closer to our ultimate mega File/Folder Downloader Bot!! 😊 At Insane 60-100MbpS Download Spee
#MEGA_DOWNLOADER
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Your Each reactions and comments make the process faster 💨
@botio_devs | @Appuz_007

#CODE 5
ᴀ ꜰᴀsᴛ ᴀᴜᴛᴏ-ᴄᴀᴘᴛɪᴏɴ ɢᴇɴᴇʀᴀᴛᴏʀ (ᴠɪᴅᴇᴏ → sʀᴛ + ᴛxᴛ) 🎬⚡️ Generate subtitles using Faster-Whisper (fast, accurate, low RAM).
from faster_whisper import WhisperModel
import subprocess
import os

#
#  AUTO CAPTION GENERATOR (SRT + TXT)
#

VIDEO_PATH = "input.mp4"
AUDIO_PATH = "audio.wav"
SRT_PATH = "subtitles.srt"
TXT_PATH = "subtitles.txt"

# 1️⃣ Extract audio (WAV) from video
def extract_audio(video, audio):
    cmd = [
        "ffmpeg", "-y",
        "-i", video,
        "-vn",
        "-acodec", "pcm_s16le",
        "-ar", "16000",
        "-ac", "1",
        audio
    ]
    subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)

# 2️⃣ Run Whisper (fast + low RAM)
def generate_subtitles(audio_path):
    model = WhisperModel("small", device="cpu")  # change to "cuda" if GPU

    segments, _ = model.transcribe(audio_path, beam_size=5)

    srt_lines = []
    txt_lines = []

    index = 1
    for seg in segments:
        start = format_time(seg.start)
        end = format_time(seg.end)
        text = seg.text.strip()

        # build SRT block
        srt_lines.append(f"{index}")
        srt_lines.append(f"{start} --> {end}")
        srt_lines.append(text)
        srt_lines.append("")  # empty line

        txt_lines.append(text)

        index += 1

    return "\n".join(srt_lines), "\n".join(txt_lines)

# time format → 00:00:00,000
def format_time(seconds):
    ms = int((seconds % 1) * 1000)
    h = int(seconds // 3600)
    m = int((seconds % 3600) // 60)
    s = int(seconds % 60)
    return f"{h:02}:{m:02}:{s:02},{ms:03}"

# 3️⃣ Save files
def save_file(path, data):
    with open(path, "w", encoding="utf-8") as f:
        f.write(data)

# MAIN
if __name__ == "__main__":
    print("Extracting audio...")
    extract_audio(VIDEO_PATH, AUDIO_PATH)

    print("Generating captions...")
    srt, txt = generate_subtitles(AUDIO_PATH)

    save_file(SRT_PATH, srt)
    save_file(TXT_PATH, txt)

    print("Done!")
    print(f"Saved:\n → {SRT_PATH}\n → {TXT_PATH}")
────────────────────────────────────────────
ʀᴇǫᴜɪʀᴇᴍᴇɴᴛꜱ 🧩 ᴘɪᴘ: • pip install faster-whisper tqdm • pip install torch (CPU/GPU version as needed) ꜱʏꜱᴛᴇᴍ: • FFmpeg: apt install -y ffmpeg (Must be installed for audio extraction)
────────────────────────────────────────────
sᴇᴛᴜᴘ ɢᴜɪᴅᴇ 🧭 1) ᴇxᴛʀᴀᴄᴛ ᴀᴜᴅɪᴏ ꜰʀᴏᴍ ᴠɪᴅᴇᴏ 🎧 The script converts the video into a clean 16kHz mono WAV for Whisper. 2) ʀᴜɴ ꜰᴀsᴛᴇʀ-ᴡʜɪsᴘᴇʀ ᴏɴ ᴛʜᴇ ᴀᴜᴅɪᴏ 🤖 Uses the small Whisper model → good accuracy + low RAM. Change device="cpu" → "cuda" for GPU boost. 3) ᴍᴀᴋᴇ sʀᴛ + ᴛxᴛ ꜰɪʟᴇs 📝 The script auto-builds proper SRT timestamps + clean text lines.
────────────────────────────────────────────
ɴᴏᴛᴇs & ᴛɪᴘs 📝 ✔️ Works on CPU (slow but stable) ✔️ GPU gives huge speed boost (CUDA) ✔️ Output includes: • subtitles.srt → perfect for videos • subtitles.txt → plain transcript ✔️ You can swap model sizes: tiny, base, small, medium, large-v3 ✔️ Perfect for: • Caption generators • Video automation tools • YouTube/TikTok editors • Telegram bots
──────────────────────────────────────────── ꜰᴇᴀᴛᴜʀᴇs: • ᴀᴜᴛᴏ ᴄᴀᴘᴛɪᴏɴs (sʀᴛ + ᴛxᴛ) 🎬 • ᴀᴄᴄᴜʀᴀᴛᴇ ᴡʜɪsᴘᴇʀ ᴍᴏᴅᴇʟ 🔊 • ʙᴀᴛᴄʜ ɢᴇɴᴇʀᴀᴛɪᴏɴ sᴜᴘᴘᴏʀᴛᴇᴅ ⚙️ • ʟᴏᴡ ʀᴀᴍ + ꜰᴀsᴛ ᴘᴇʀꜰᴏʀᴍᴀɴᴄᴇ ⚡️ • ᴘᴇʀꜰᴇᴄᴛ ꜰᴏʀ ᴀᴜᴛᴏᴍᴀᴛɪᴏɴ, ᴇᴅɪᴛɪɴɢ, ʙᴏᴛs 🤖
COMMENT🔹SHARE FOR MORE 💭
@botio_devs | @Appuz_007

No Support = No codes and Dev offers!! 😑
🥰 PUT MAXIMUM REACTIONS TO SHOW YOUR SUPPORT 😘

💻 Free Microsoft 365 Personal (For 1 Year) 🗂 You can get Microsoft 365 Personal free for 12 months, which includes Copilot
💻 Free Microsoft 365 Personal (For 1 Year) 🗂 You can get Microsoft 365 Personal free for 12 months, which includes Copilot Pro and 1TB of storage. Steps: 1. Go to this link: https://www.microsoft.com/en-us/microsoft-copilot/for-individuals/ai-for-students?form=MA140R 2. Click the "Redeem free offer" button. 3. Sign in with your Microsoft account (you can use a .edu or personal email). 4. You will receive an email within 24 hours with the offer details. 5. Follow the instructions in that email to activate your free plan.

#CODE 4
ᴀ sɪᴍᴘʟᴇ ᴘʏᴛʜᴏɴ ᴄᴏᴅᴇ ᴛᴏ ᴄᴏɴᴠᴇʀᴛ ᴀɴʏ ꜰᴏʟᴅᴇʀ ɪɴᴛᴏ ᴀ ᴢɪᴘ ꜰɪʟᴇ (ᴡɪᴛʜ ᴘʀᴏɢʀᴇss ʙᴀʀ) 📦⚡️
import os
import zipfile
from tqdm import tqdm  # pip install tqdm

def folder_to_zip(folder_path, output_zip):
    # Count total files for progress
    file_count = sum(len(files) for _, _, files in os.walk(folder_path))

    with zipfile.ZipFile(output_zip, "w", zipfile.ZIP_DEFLATED) as zipf:
        with tqdm(total=file_count, desc="Zipping", unit="files") as progress:
            for root, _, files in os.walk(folder_path):
                for file in files:
                    full_path = os.path.join(root, file)
                    rel_path = os.path.relpath(full_path, folder_path)
                    zipf.write(full_path, rel_path)
                    progress.update(1)

    print("ZIP file created:", output_zip)

# Usage
folder_to_zip("my_folder", "my_folder.zip")
────────────────────────────────────────────
ʀᴇǫᴜɪʀᴇᴍᴇɴᴛꜱ 🧩 ᴘɪᴘ: • pip install tqdm ꜱʏꜱᴛᴇᴍ: • No extra system packages needed (pure Python)
────────────────────────────────────────────
sᴇᴛᴜᴘ ɢᴜɪᴅᴇ 🧭 1) ɪɴsᴛᴀʟʟ ᴛʜᴇ tqdm ᴘᴀᴄᴋᴀɢᴇ 📥 Used to show a clean and smooth progress bar. pip install tqdm 2) ᴘʀᴇᴘᴀʀᴇ ᴛʜᴇ ꜰᴏʟᴅᴇʀ ʏᴏᴜ ᴡᴀɴᴛ ᴛᴏ ᴢɪᴘ 📁 Example: my_folder/ ├ file1.txt ├ file2.jpg └ subfolder/ 3) ʀᴜɴ ᴛʜᴇ sᴄʀɪᴘᴛ ▶️ Edit this line with your folder name: folder_to_zip("my_folder", "my_folder.zip")
──────────────────────────────────────────── ɴᴏᴛᴇs & ᴛɪᴘs 📝 ✔️ Works on Windows, Linux, macOS ✔️ Supports nested folders (recursively) ✔️ Clean progress bar with accurate file count ✔️ Uses ZIP_DEFLATED compression ✔️ Suitable for backups, bots, packaging, automation ──────────────────────────────────────────── ꜰᴇᴀᴛᴜʀᴇs: • ᴄᴏɴᴠᴇʀᴛs ᴀɴʏ ꜰᴏʟᴅᴇʀ ᴛᴏ ᴀ ᴄᴏᴍᴘʀᴇssᴇᴅ ᴢɪᴘ 📦 • sᴍᴏᴏᴛʜ ᴘʀᴏɢʀᴇss ʙᴀʀ (ᴛǫᴅᴍ) 📊 • ʀᴇᴄᴜʀsɪᴠᴇ ꜰɪʟᴇ ᴀᴅᴅɪᴛɪᴏɴ 🗂 • ʟɪɢʜᴛᴡᴇɪɢʜᴛ ᴀɴᴅ ꜰᴀsᴛ ⚡️ • ᴘᴇʀꜰᴇᴄᴛ ꜰᴏʀ ʙᴀᴄᴋᴜᴘs, ᴘᴀᴄᴋᴀɢᴇ ᴄʀᴇᴀᴛɪᴏɴ, ᴀᴜᴛᴏᴍᴀᴛɪᴏɴ ⚙️
COMMENT🔹SHARE FOR MORE 💭
@botio_devs | @Appuz_007