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Update app.py
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app.py
CHANGED
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@@ -5,18 +5,19 @@ import shutil
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import requests
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from faster_whisper import WhisperModel
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# --- 1. Model Setup ---
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model = None
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def load_model():
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global model
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if model is None:
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print("📥 Loading Whisper Model...")
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model = WhisperModel("base", device="cpu", compute_type="int8")
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print("✅ Model Loaded!")
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return model
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# --- 2. URL Resolver ---
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def get_actual_url(short_url):
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try:
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headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}
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@@ -25,60 +26,89 @@ def get_actual_url(short_url):
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except:
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return short_url
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# --- 3.
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def
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if not url:
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return
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actual_url = get_actual_url(url)
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output_video = "final_video.mp4"
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ffmpeg_path = shutil.which("ffmpeg") or "/usr/bin/ffmpeg"
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ydl_opts = {
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'format': '
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'outtmpl': '
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'merge_output_format': 'mp4', # ब्राउज़र संगतता के लिए पक्का MP4
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'ffmpeg_location': ffmpeg_path,
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'http_headers': {
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'User-Agent': 'Mozilla/5.0 (
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'Referer': 'https://www.tiktok.com/'
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}
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}
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try:
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with yt_dlp.YoutubeDL(ydl_opts) as ydl:
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ydl.download([actual_url])
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# डाउनलोड की गई फ़ाइल का नाम बदलें
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downloaded_file = next(f for f in os.listdir('.') if f.startswith('downloaded_video'))
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shutil.move(downloaded_file, output_video)
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except Exception as e:
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return
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# Transcribe
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try:
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current_model = load_model()
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segments, _ = current_model.transcribe(
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text = " ".join([s.text for s in segments])
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return
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except Exception as e:
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return
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# --- 4. UI ---
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with gr.
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demo.launch()
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import requests
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from faster_whisper import WhisperModel
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# --- 1. Model Setup (Lazy Loading) ---
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model = None
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def load_model():
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global model
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if model is None:
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print("📥 Loading Whisper Model...")
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# 'base' model balance hai speed aur accuracy ka
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model = WhisperModel("base", device="cpu", compute_type="int8")
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print("✅ Model Loaded!")
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return model
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# --- 2. URL Resolver (Short Link Fix) ---
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def get_actual_url(short_url):
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try:
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headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}
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except:
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return short_url
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# --- 3. Audio Download & Transcribe ---
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def process_audio(url):
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if not url:
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return "⚠️ कृपया URL डालें।"
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print(f"Processing: {url}")
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actual_url = get_actual_url(url)
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# Filename
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output_audio = "tiktok_audio.mp3"
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if os.path.exists(output_audio): os.remove(output_audio)
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# FFmpeg check
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ffmpeg_path = shutil.which("ffmpeg") or "/usr/bin/ffmpeg"
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# Audio Download Settings (No Video)
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ydl_opts = {
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'format': 'bestaudio/best', # Sirf Audio download karega (Bahut Fast)
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'outtmpl': 'tiktok_audio',
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'ffmpeg_location': ffmpeg_path,
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'postprocessors': [{
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'key': 'FFmpegExtractAudio',
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'preferredcodec': 'mp3',
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'preferredquality': '192',
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}],
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'quiet': True,
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'no_warnings': True,
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'http_headers': {
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
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'Referer': 'https://www.tiktok.com/'
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}
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}
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# 1. Download Audio
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try:
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with yt_dlp.YoutubeDL(ydl_opts) as ydl:
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ydl.download([actual_url])
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except Exception as e:
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return f"❌ Download Error: {str(e)}"
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# 2. Transcribe
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try:
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current_model = load_model()
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segments, _ = current_model.transcribe(f"{output_audio}.mp3", beam_size=5)
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text = " ".join([s.text for s in segments])
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return text.strip()
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except Exception as e:
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return f"Transcription Error: {str(e)}"
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# --- 4. Professional UI ---
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# Custom CSS for clean look
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css = """
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.container {max-width: 800px; margin: auto;}
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.gr-button-primary {background: linear-gradient(90deg, #4b6cb7 0%, #182848 100%); border: none;}
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"""
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with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
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with gr.Column(elem_classes="container"):
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gr.Markdown(
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"""
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# 📝 Professional TikTok Transcriber
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Paste the link below to extract text from the video.
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"""
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)
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with gr.Row():
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link_input = gr.Textbox(
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label="TikTok URL",
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placeholder="Paste https://vt.tiktok.com/... link here",
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scale=4
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)
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btn = gr.Button("Transcribe Text", variant="primary", scale=1)
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# 'gr.Code' box automatic copy button ke sath aata hai header me
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transcript_out = gr.Code(
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label="Transcript Result (Click Copy Icon 📋)",
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language="markdown",
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interactive=False,
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lines=15
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)
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# Button Action
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btn.click(fn=process_audio, inputs=link_input, outputs=transcript_out)
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demo.launch()
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