Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -5,6 +5,8 @@ import re
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import sys
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import shutil
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import importlib.util
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def check_requirements():
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"""Check if all required packages are installed and return status"""
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print(f"yt-dlp available: {YT_DLP_AVAILABLE}")
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print(f"whisper available: {WHISPER_AVAILABLE} (type: {WHISPER_TYPE})")
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def download_audio(url, cookies_file_path=None):
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"""Download audio from YouTube URL
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if not YT_DLP_AVAILABLE:
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raise Exception("yt-dlp is not available. Please check the installation.")
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try:
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# Create a temporary directory for downloads
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temp_dir = tempfile.mkdtemp()
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output_path = os.path.join(temp_dir, "audio")
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#
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ydl_opts = {
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'format': 'bestaudio[ext=m4a]/bestaudio/best',
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'outtmpl': output_path + '.%(ext)s',
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'quiet':
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'no_warnings':
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'extractor_retries':
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'fragment_retries':
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'retry_sleep_functions': {'http': lambda n: 2 ** n},
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}
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#
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if cookies_file_path and os.path.exists(cookies_file_path):
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ydl_opts['cookiefile'] = cookies_file_path
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print(f"β
Using cookies file: {cookies_file_path}")
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else:
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print("β οΈ No cookies file
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with YoutubeDL(ydl_opts) as ydl:
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info_dict = ydl.extract_info(url, download=True)
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filename = ydl.prepare_filename(info_dict)
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# Find the downloaded file
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for ext in ['.m4a', '.webm', '.mp4', '.mp3']:
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potential_file = output_path + ext
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if os.path.exists(potential_file):
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print(f"β
Audio downloaded: {potential_file}")
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return potential_file
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raise FileNotFoundError("Downloaded audio file not found")
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except Exception as e:
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else:
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raise Exception(f"Failed to download audio: {str(e)}")
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try:
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if WHISPER_TYPE == "openai-whisper":
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# Use OpenAI Whisper
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model = whisper.load_model("
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result = model.transcribe(
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return result["text"]
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elif WHISPER_TYPE == "transformers":
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# Use Transformers Whisper
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from transformers import pipeline
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transcriber = pipeline(
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return result["text"]
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else:
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except Exception as e:
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raise Exception(f"Failed to transcribe audio: {str(e)}")
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"""Extract stock information using simple pattern matching"""
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try:
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stock_info = []
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#
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stock_patterns =
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r'\b[A-Z]{
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r'(?:
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r'
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r'\b(?:bullish|bearish|
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companies = re.findall(r'\b[A-Z][a-z]+(?:\s+[A-Z][a-z]+)*(?:\s+(?:Inc|Corp|Company|Ltd)\.?)?', text)
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symbols = re.findall(r'\b[A-Z]{2,5}\b', text)
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prices = re.findall(r'\$\d+(?:\.\d{2})?', text)
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actions = re.findall(r'\b(?:buy|sell|hold|bullish|bearish|target|stop\s+loss)\b', text, re.IGNORECASE)
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#
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if symbols:
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result += f"π€
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if prices:
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result += f"π° Price Mentions
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if actions:
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result += f"
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# Look for
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recommendations = []
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for sentence in sentences:
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if recommendations:
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result += "π― Potential Recommendations
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for rec in recommendations[:5]:
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result += f"
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result += "β’ The audio quality was poor\n"
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result += "β’ The content is not in English\n"
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return result
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except Exception as e:
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return f"Error extracting stock info: {str(e)}"
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def cleanup_file(file_path):
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"""Clean up temporary files"""
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# Create a temporary file for cookies
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temp_cookies_path = tempfile.mktemp(suffix='.txt')
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# Copy the uploaded file
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shutil.copy2(cookies_file, temp_cookies_path)
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return temp_cookies_path
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except Exception as e:
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print(f"β Error processing cookies file: {e}")
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return None
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def process_video(url, cookies_file, progress=gr.Progress()):
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"""Main function to process YouTube video"""
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# Check if required packages are available
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if not YT_DLP_AVAILABLE:
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return "Error: yt-dlp is not installed
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if not WHISPER_AVAILABLE:
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return "Error: OpenAI Whisper is not installed
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audio_path = None
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cookies_temp_path = None
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try:
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if not any(domain in url.lower() for domain in ['youtube.com', 'youtu.be']):
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return "Please provide a valid YouTube URL", "", "β Error: Invalid URL"
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# Process cookies file if provided
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progress(0.
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cookies_temp_path = process_cookies_file(cookies_file)
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status_msg = "β
Cookies loaded" if cookies_temp_path else "β οΈ No cookies (may encounter
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# Download audio
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progress(0.2, desc="Downloading audio...")
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audio_path = download_audio(url, cookies_temp_path)
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# Transcribe audio
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progress(0.6, desc="Transcribing audio...")
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transcript = transcribe_audio(audio_path)
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if not transcript.strip():
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return "No speech detected in the video", "", "β No speech detected"
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# Extract stock information
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progress(0.9, desc="
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stock_details =
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progress(1.0, desc="Complete!")
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return transcript, stock_details, "β
Processing completed successfully"
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except Exception as e:
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error_msg =
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return error_msg, "", f"β Error
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finally:
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# Clean up temporary files
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cleanup_file(audio_path)
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cleanup_file(cookies_temp_path)
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# Create Gradio interface
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with gr.Blocks(
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title="Stock
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theme=gr.themes.Soft(),
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css="""
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.gradio-container {
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max-width:
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margin: auto;
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}
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.status-box {
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padding:
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border-radius:
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margin: 10px 0;
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}
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"""
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) as demo:
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gr.Markdown("""
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# π Stock Recommendation Extractor
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Extract stock
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**How it works:**
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1. Upload
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2. Paste YouTube
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3.
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4.
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5. Extracts stock-related information
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""")
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with gr.Row():
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with gr.Column(scale=1):
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#
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gr.
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cookies_input = gr.File(
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label="πͺ Upload Cookies File (cookies.txt)",
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file_types=[".txt"],
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file_count="single"
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)
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gr.Markdown("""
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**How to get cookies.txt to fix 403 Forbidden errors:**
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1. Install browser extension: "Get cookies.txt LOCALLY"
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2. Visit YouTube in your browser (while logged in)
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3. Click the extension icon and export cookies for youtube.com
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4. Upload the downloaded cookies.txt file here
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**Alternative extensions:**
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- "cookies.txt" (Chrome/Firefox)
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- "Export Cookies" (Chrome)
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β οΈ **Important**: Without cookies, you'll likely get 403 Forbidden errors
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""")
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url_input = gr.Textbox(
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label="πΊ YouTube URL",
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placeholder="https://www.youtube.com/watch?v=...",
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lines=2
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)
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process_btn = gr.Button(
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"π Extract Stock Information",
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variant="primary",
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size="lg"
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)
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# Status display
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status_output = gr.Textbox(
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label="π Status",
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lines=1,
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interactive=False
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)
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with gr.Row():
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with gr.Column():
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transcript_output = gr.Textbox(
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label="π Full Transcript",
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lines=
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max_lines=
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show_copy_button=True
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)
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with gr.Column():
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stock_info_output = gr.Textbox(
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label="π Extracted Stock Information",
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lines=
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max_lines=
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show_copy_button=True
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# Event handlers
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def show_requirements():
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status = check_requirements()
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show_progress=True
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#
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gr.Markdown("### π Example URLs (Replace with actual financial videos)")
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gr.Examples(
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examples=[
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["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],
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],
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inputs=[url_input],
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label="Click to try example"
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)
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gr.Markdown("""
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**If you get "Whisper Missing" error:**
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```bash
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pip install openai-whisper
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```
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**If you get "yt-dlp Missing" error:**
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```bash
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pip install yt-dlp
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```
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**Install all requirements at once:**
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```bash
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pip install gradio==4.44.0 yt-dlp==2023.12.30 openai-whisper==20231117 torch==2.1.0 torchaudio==2.1.0 numpy==1.24.3 regex==2023.8.8
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```
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**Alternative Whisper installation:**
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```bash
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pip install transformers torch torchaudio
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```
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**If using virtual environment:**
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```bash
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# Create and activate virtual environment first
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python -m venv myenv
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# Windows: myenv\\Scripts\\activate
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# Mac/Linux: source myenv/bin/activate
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# Then install packages
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pip install -r requirements.txt
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```
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**Other Issues:**
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- **Bot Detection Error**: Upload your cookies.txt file
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- **No Audio Found**: Check if video has audio track
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- **Transcription Failed**: Video might be too long or audio quality poor
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- **No Stock Info**: Video might not contain financial content
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""")
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if __name__ == "__main__":
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demo.launch(
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import sys
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import shutil
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import importlib.util
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+
import time
|
9 |
+
import random
|
10 |
|
11 |
def check_requirements():
|
12 |
"""Check if all required packages are installed and return status"""
|
|
|
76 |
print(f"yt-dlp available: {YT_DLP_AVAILABLE}")
|
77 |
print(f"whisper available: {WHISPER_AVAILABLE} (type: {WHISPER_TYPE})")
|
78 |
|
79 |
+
def get_video_info(url, cookies_file_path=None):
|
80 |
+
"""Get video information without downloading"""
|
81 |
+
if not YT_DLP_AVAILABLE:
|
82 |
+
raise Exception("yt-dlp is not available.")
|
83 |
+
|
84 |
+
ydl_opts = {
|
85 |
+
'quiet': True,
|
86 |
+
'no_warnings': True,
|
87 |
+
'extract_flat': False,
|
88 |
+
'skip_download': True,
|
89 |
+
}
|
90 |
+
|
91 |
+
if cookies_file_path and os.path.exists(cookies_file_path):
|
92 |
+
ydl_opts['cookiefile'] = cookies_file_path
|
93 |
+
|
94 |
+
with YoutubeDL(ydl_opts) as ydl:
|
95 |
+
try:
|
96 |
+
info = ydl.extract_info(url, download=False)
|
97 |
+
return {
|
98 |
+
'title': info.get('title', 'Unknown'),
|
99 |
+
'duration': info.get('duration', 0),
|
100 |
+
'availability': info.get('availability', 'unknown'),
|
101 |
+
'live_status': info.get('live_status', 'unknown'),
|
102 |
+
}
|
103 |
+
except Exception as e:
|
104 |
+
return {'error': str(e)}
|
105 |
|
106 |
def download_audio(url, cookies_file_path=None):
|
107 |
+
"""Download audio from YouTube URL with enhanced error handling"""
|
108 |
if not YT_DLP_AVAILABLE:
|
109 |
raise Exception("yt-dlp is not available. Please check the installation.")
|
110 |
|
111 |
try:
|
112 |
+
# First, try to get video info
|
113 |
+
video_info = get_video_info(url, cookies_file_path)
|
114 |
+
if 'error' in video_info:
|
115 |
+
raise Exception(f"Video info error: {video_info['error']}")
|
116 |
+
|
117 |
+
print(f"Video title: {video_info.get('title', 'Unknown')}")
|
118 |
+
print(f"Video duration: {video_info.get('duration', 0)} seconds")
|
119 |
+
print(f"Video availability: {video_info.get('availability', 'unknown')}")
|
120 |
+
|
121 |
# Create a temporary directory for downloads
|
122 |
temp_dir = tempfile.mkdtemp()
|
123 |
output_path = os.path.join(temp_dir, "audio")
|
124 |
|
125 |
+
# Enhanced options for better compatibility
|
126 |
ydl_opts = {
|
127 |
+
'format': 'bestaudio[ext=m4a]/bestaudio[ext=webm]/bestaudio[ext=mp4]/bestaudio/best',
|
128 |
'outtmpl': output_path + '.%(ext)s',
|
129 |
+
'quiet': False, # Enable logging for debugging
|
130 |
+
'no_warnings': False,
|
131 |
+
'extractor_retries': 5,
|
132 |
+
'fragment_retries': 5,
|
133 |
+
'retry_sleep_functions': {'http': lambda n: min(2 ** n, 60)},
|
134 |
+
'socket_timeout': 30,
|
135 |
+
'http_chunk_size': 10485760, # 10MB chunks
|
136 |
+
'writeinfojson': False,
|
137 |
+
'writesubtitles': False,
|
138 |
+
'writeautomaticsub': False,
|
139 |
+
'geo_bypass': True,
|
140 |
+
'geo_bypass_country': 'US',
|
141 |
+
'extract_flat': False,
|
142 |
+
'ignoreerrors': False,
|
143 |
}
|
144 |
|
145 |
+
# Enhanced cookies and headers handling
|
146 |
if cookies_file_path and os.path.exists(cookies_file_path):
|
147 |
ydl_opts['cookiefile'] = cookies_file_path
|
148 |
print(f"β
Using cookies file: {cookies_file_path}")
|
149 |
else:
|
150 |
+
print("β οΈ No cookies file - using enhanced headers")
|
151 |
+
|
152 |
+
# Always add enhanced headers
|
153 |
+
ydl_opts.update({
|
154 |
+
'user_agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
|
155 |
+
'referer': 'https://www.youtube.com/',
|
156 |
+
'headers': {
|
157 |
+
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
|
158 |
+
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8',
|
159 |
+
'Accept-Language': 'en-US,en;q=0.9',
|
160 |
+
'Accept-Encoding': 'gzip, deflate, br',
|
161 |
+
'DNT': '1',
|
162 |
+
'Connection': 'keep-alive',
|
163 |
+
'Upgrade-Insecure-Requests': '1',
|
164 |
+
'Sec-Fetch-Dest': 'document',
|
165 |
+
'Sec-Fetch-Mode': 'navigate',
|
166 |
+
'Sec-Fetch-Site': 'none',
|
167 |
+
'Sec-Fetch-User': '?1',
|
168 |
+
'sec-ch-ua': '"Not_A Brand";v="8", "Chromium";v="120", "Google Chrome";v="120"',
|
169 |
+
'sec-ch-ua-mobile': '?0',
|
170 |
+
'sec-ch-ua-platform': '"Windows"',
|
171 |
+
}
|
172 |
+
})
|
173 |
+
|
174 |
+
# Add random delay to avoid rate limiting
|
175 |
+
time.sleep(random.uniform(1, 3))
|
176 |
+
|
177 |
with YoutubeDL(ydl_opts) as ydl:
|
178 |
+
print(f"Attempting to download audio from: {url}")
|
179 |
info_dict = ydl.extract_info(url, download=True)
|
|
|
180 |
|
181 |
# Find the downloaded file
|
182 |
+
for ext in ['.m4a', '.webm', '.mp4', '.mp3', '.aac', '.opus']:
|
183 |
potential_file = output_path + ext
|
184 |
if os.path.exists(potential_file):
|
185 |
print(f"β
Audio downloaded: {potential_file}")
|
186 |
return potential_file
|
187 |
|
188 |
+
# If no file found, list directory contents for debugging
|
189 |
+
print(f"Files in temp directory: {os.listdir(temp_dir)}")
|
190 |
raise FileNotFoundError("Downloaded audio file not found")
|
191 |
|
192 |
except Exception as e:
|
193 |
+
error_msg = str(e).lower()
|
194 |
+
|
195 |
+
# Provide specific error messages and solutions
|
196 |
+
if "video unavailable" in error_msg or "content isn't available" in error_msg:
|
197 |
+
raise Exception(f"""
|
198 |
+
β Video Access Error: The video is unavailable or restricted.
|
199 |
+
|
200 |
+
Possible reasons:
|
201 |
+
β’ Video is private, unlisted, or deleted
|
202 |
+
β’ Video is geo-blocked in your region
|
203 |
+
β’ Video has age restrictions
|
204 |
+
β’ Video requires sign-in to view
|
205 |
+
β’ Copyright restrictions
|
206 |
+
|
207 |
+
Solutions to try:
|
208 |
+
1. Verify the video URL is correct and accessible
|
209 |
+
2. Try a different public video
|
210 |
+
3. Check if the video works in your browser
|
211 |
+
4. If using a playlist URL, try the direct video URL instead
|
212 |
+
5. For age-restricted videos, ensure cookies are from a logged-in account
|
213 |
+
|
214 |
+
Original error: {str(e)}
|
215 |
+
""")
|
216 |
+
elif "403" in error_msg or "forbidden" in error_msg:
|
217 |
+
raise Exception(f"""
|
218 |
+
β Access Forbidden (403): YouTube blocked the request.
|
219 |
+
|
220 |
+
Solutions:
|
221 |
+
1. **Upload fresh cookies.txt file** (most important)
|
222 |
+
2. Get cookies from a logged-in YouTube account
|
223 |
+
3. Try again after a few minutes (rate limiting)
|
224 |
+
4. Use a different network/VPN if possible
|
225 |
+
|
226 |
+
How to get fresh cookies:
|
227 |
+
β’ Visit YouTube while logged in
|
228 |
+
β’ Use browser extension to export cookies
|
229 |
+
β’ Upload the newest cookies.txt file
|
230 |
+
|
231 |
+
Original error: {str(e)}
|
232 |
+
""")
|
233 |
+
elif "429" in error_msg or "rate limit" in error_msg:
|
234 |
+
raise Exception(f"""
|
235 |
+
β Rate Limited (429): Too many requests.
|
236 |
+
|
237 |
+
Solutions:
|
238 |
+
1. Wait 10-15 minutes before trying again
|
239 |
+
2. Upload fresh cookies.txt file
|
240 |
+
3. Try a different video
|
241 |
+
4. Use a different network if possible
|
242 |
+
|
243 |
+
Original error: {str(e)}
|
244 |
+
""")
|
245 |
else:
|
246 |
raise Exception(f"Failed to download audio: {str(e)}")
|
247 |
|
|
|
252 |
|
253 |
try:
|
254 |
if WHISPER_TYPE == "openai-whisper":
|
255 |
+
# Use OpenAI Whisper with more robust settings
|
256 |
+
model = whisper.load_model("base") # Use base model for better accuracy
|
257 |
+
result = model.transcribe(
|
258 |
+
file_path,
|
259 |
+
language="en", # Specify English for better performance
|
260 |
+
task="transcribe",
|
261 |
+
verbose=False,
|
262 |
+
fp16=False, # Better compatibility
|
263 |
+
temperature=0.0, # More deterministic
|
264 |
+
)
|
265 |
return result["text"]
|
266 |
|
267 |
elif WHISPER_TYPE == "transformers":
|
268 |
# Use Transformers Whisper
|
269 |
from transformers import pipeline
|
270 |
+
transcriber = pipeline(
|
271 |
+
"automatic-speech-recognition",
|
272 |
+
model="openai/whisper-base",
|
273 |
+
device=-1 # Use CPU for better compatibility
|
274 |
+
)
|
275 |
+
result = transcriber(file_path, return_timestamps=False)
|
276 |
return result["text"]
|
277 |
|
278 |
else:
|
|
|
281 |
except Exception as e:
|
282 |
raise Exception(f"Failed to transcribe audio: {str(e)}")
|
283 |
|
284 |
+
def extract_stock_info_enhanced(text):
|
285 |
+
"""Enhanced stock information extraction with better patterns"""
|
|
|
286 |
try:
|
287 |
stock_info = []
|
288 |
|
289 |
+
# Enhanced patterns for stock information
|
290 |
+
stock_patterns = {
|
291 |
+
'symbols': r'\b[A-Z]{2,5}\b(?=\s+(?:stock|shares|ticker|symbol|price|target|buy|sell))',
|
292 |
+
'prices': r'\$\d+(?:\.\d{1,2})?(?:\s*(?:per share|each|target|price))?',
|
293 |
+
'percentages': r'\d+(?:\.\d{1,2})?%',
|
294 |
+
'actions': r'\b(?:buy|sell|hold|long|short|bullish|bearish|target|stop loss|take profit|accumulate|distribute)\b',
|
295 |
+
'companies': r'\b[A-Z][a-zA-Z]+(?:\s+[A-Z][a-zA-Z]+){0,2}(?:\s+(?:Inc|Corp|Company|Ltd|LLC)\.?)?',
|
296 |
+
'market_terms': r'\b(?:earnings|revenue|profit|loss|growth|dividend|yield|PE ratio|market cap|volume)\b',
|
297 |
+
}
|
|
|
|
|
|
|
|
|
298 |
|
299 |
+
# Extract information
|
300 |
+
symbols = re.findall(stock_patterns['symbols'], text, re.IGNORECASE)
|
301 |
+
prices = re.findall(stock_patterns['prices'], text)
|
302 |
+
percentages = re.findall(stock_patterns['percentages'], text)
|
303 |
+
actions = re.findall(stock_patterns['actions'], text, re.IGNORECASE)
|
304 |
+
companies = re.findall(stock_patterns['companies'], text)
|
305 |
+
market_terms = re.findall(stock_patterns['market_terms'], text, re.IGNORECASE)
|
306 |
|
307 |
+
# Format results
|
308 |
+
result = "=== π EXTRACTED STOCK INFORMATION ===\n\n"
|
309 |
|
310 |
if symbols:
|
311 |
+
result += f"π€ **Stock Symbols Found**: {', '.join(set(symbols[:10]))}\n\n"
|
312 |
+
|
313 |
+
if companies:
|
314 |
+
filtered_companies = [c for c in set(companies) if len(c) > 3 and c.upper() not in ['THE', 'AND', 'FOR', 'WITH']]
|
315 |
+
if filtered_companies:
|
316 |
+
result += f"π’ **Companies Mentioned**: {', '.join(filtered_companies[:10])}\n\n"
|
317 |
|
318 |
if prices:
|
319 |
+
result += f"π° **Price Mentions**: {', '.join(set(prices[:10]))}\n\n"
|
320 |
+
|
321 |
+
if percentages:
|
322 |
+
result += f"π **Percentage Mentions**: {', '.join(set(percentages[:10]))}\n\n"
|
323 |
|
324 |
if actions:
|
325 |
+
result += f"π― **Trading Actions**: {', '.join(set(actions[:10]))}\n\n"
|
326 |
+
|
327 |
+
if market_terms:
|
328 |
+
result += f"π **Market Terms**: {', '.join(set(market_terms[:10]))}\n\n"
|
329 |
|
330 |
+
# Look for recommendation sentences
|
331 |
+
sentences = [s.strip() for s in text.split('.') if s.strip()]
|
332 |
recommendations = []
|
333 |
+
|
334 |
for sentence in sentences:
|
335 |
+
sentence_lower = sentence.lower()
|
336 |
+
if any(action in sentence_lower for action in ['buy', 'sell', 'target', 'recommend', 'suggest']):
|
337 |
+
if any(symbol in sentence for symbol in symbols[:5]) or any(price in sentence for price in prices[:3]):
|
338 |
+
recommendations.append(sentence)
|
339 |
|
340 |
if recommendations:
|
341 |
+
result += "π― **Potential Recommendations**:\n"
|
342 |
+
for i, rec in enumerate(recommendations[:5], 1):
|
343 |
+
result += f"{i}. {rec}\n"
|
344 |
+
result += "\n"
|
345 |
+
|
346 |
+
# Add summary
|
347 |
+
if not any([symbols, prices, actions, recommendations]):
|
348 |
+
result += "β οΈ **No clear stock recommendations found**\n\n"
|
349 |
+
result += "**Possible reasons:**\n"
|
350 |
+
result += "β’ Video doesn't contain stock/financial content\n"
|
351 |
+
result += "β’ Audio quality was poor for transcription\n"
|
352 |
+
result += "β’ Content is not in English\n"
|
353 |
+
result += "β’ General market discussion without specific recommendations\n"
|
354 |
+
else:
|
355 |
+
result += "β
**Analysis Complete** - Please verify all information independently!\n"
|
356 |
|
357 |
+
result += "\n" + "="*50 + "\n"
|
358 |
+
result += "β οΈ **DISCLAIMER**: This is automated extraction for educational purposes only.\n"
|
359 |
+
result += "Always conduct your own research before making investment decisions!\n"
|
360 |
+
result += "="*50
|
|
|
|
|
361 |
|
362 |
return result
|
363 |
|
364 |
except Exception as e:
|
365 |
+
return f"β Error extracting stock info: {str(e)}"
|
366 |
|
367 |
def cleanup_file(file_path):
|
368 |
"""Clean up temporary files"""
|
|
|
386 |
# Create a temporary file for cookies
|
387 |
temp_cookies_path = tempfile.mktemp(suffix='.txt')
|
388 |
|
389 |
+
# Copy the uploaded file
|
390 |
shutil.copy2(cookies_file, temp_cookies_path)
|
391 |
|
392 |
+
# Validate cookies file
|
393 |
+
with open(temp_cookies_path, 'r', encoding='utf-8') as f:
|
394 |
+
content = f.read()
|
395 |
+
if 'youtube.com' not in content.lower():
|
396 |
+
print("β οΈ Warning: cookies file might not contain YouTube cookies")
|
397 |
+
|
398 |
+
print(f"β
Cookies file processed: {temp_cookies_path}")
|
399 |
return temp_cookies_path
|
400 |
except Exception as e:
|
401 |
print(f"β Error processing cookies file: {e}")
|
402 |
return None
|
403 |
|
404 |
+
def validate_youtube_url(url):
|
405 |
+
"""Validate YouTube URL format"""
|
406 |
+
if not url or not url.strip():
|
407 |
+
return False, "Please provide a YouTube URL"
|
408 |
+
|
409 |
+
url = url.strip()
|
410 |
+
youtube_patterns = [
|
411 |
+
r'(?:https?://)?(?:www\.)?youtube\.com/watch\?v=[\w-]+',
|
412 |
+
r'(?:https?://)?(?:www\.)?youtu\.be/[\w-]+',
|
413 |
+
r'(?:https?://)?(?:www\.)?youtube\.com/embed/[\w-]+',
|
414 |
+
r'(?:https?://)?(?:m\.)?youtube\.com/watch\?v=[\w-]+',
|
415 |
+
]
|
416 |
+
|
417 |
+
for pattern in youtube_patterns:
|
418 |
+
if re.match(pattern, url):
|
419 |
+
return True, "Valid YouTube URL"
|
420 |
+
|
421 |
+
return False, "Invalid YouTube URL format"
|
422 |
+
|
423 |
def process_video(url, cookies_file, progress=gr.Progress()):
|
424 |
"""Main function to process YouTube video"""
|
425 |
|
426 |
# Check if required packages are available
|
427 |
if not YT_DLP_AVAILABLE:
|
428 |
+
return "β Error: yt-dlp is not installed. Please install it using: pip install yt-dlp", "", "β Missing yt-dlp"
|
429 |
|
430 |
if not WHISPER_AVAILABLE:
|
431 |
+
return "β Error: OpenAI Whisper is not installed. Please install it using: pip install openai-whisper", "", "β Missing Whisper"
|
432 |
|
433 |
+
# Validate URL
|
434 |
+
is_valid, validation_msg = validate_youtube_url(url)
|
435 |
+
if not is_valid:
|
436 |
+
return f"β Error: {validation_msg}", "", "β Invalid URL"
|
437 |
|
438 |
audio_path = None
|
439 |
cookies_temp_path = None
|
440 |
|
441 |
try:
|
442 |
+
progress(0.05, desc="π Validating URL...")
|
|
|
|
|
443 |
|
444 |
# Process cookies file if provided
|
445 |
+
progress(0.1, desc="πͺ Processing cookies...")
|
446 |
cookies_temp_path = process_cookies_file(cookies_file)
|
447 |
|
448 |
+
status_msg = "β
Cookies loaded" if cookies_temp_path else "β οΈ No cookies (may encounter restrictions)"
|
449 |
|
450 |
# Download audio
|
451 |
+
progress(0.2, desc="π₯ Downloading audio...")
|
452 |
audio_path = download_audio(url, cookies_temp_path)
|
453 |
|
454 |
# Transcribe audio
|
455 |
+
progress(0.6, desc="ποΈ Transcribing audio...")
|
456 |
transcript = transcribe_audio(audio_path)
|
457 |
|
458 |
if not transcript.strip():
|
459 |
+
return "β No speech detected in the video", "", "β No speech detected"
|
460 |
|
461 |
# Extract stock information
|
462 |
+
progress(0.9, desc="π Analyzing content...")
|
463 |
+
stock_details = extract_stock_info_enhanced(transcript)
|
464 |
|
465 |
+
progress(1.0, desc="β
Complete!")
|
466 |
return transcript, stock_details, "β
Processing completed successfully"
|
467 |
|
468 |
except Exception as e:
|
469 |
+
error_msg = str(e)
|
470 |
+
return error_msg, "", f"β Error occurred"
|
471 |
|
472 |
finally:
|
473 |
# Clean up temporary files
|
474 |
cleanup_file(audio_path)
|
475 |
cleanup_file(cookies_temp_path)
|
476 |
|
477 |
+
# Create Gradio interface optimized for Gradio Cloud
|
478 |
with gr.Blocks(
|
479 |
+
title="π YouTube Stock Extractor",
|
480 |
theme=gr.themes.Soft(),
|
481 |
css="""
|
482 |
.gradio-container {
|
483 |
+
max-width: 1200px;
|
484 |
margin: auto;
|
485 |
+
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
486 |
}
|
487 |
.status-box {
|
488 |
+
padding: 12px;
|
489 |
+
border-radius: 8px;
|
490 |
margin: 10px 0;
|
491 |
+
border: 1px solid #ddd;
|
492 |
+
}
|
493 |
+
.warning-box {
|
494 |
+
background-color: #fff3cd;
|
495 |
+
border-color: #ffeaa7;
|
496 |
+
color: #856404;
|
497 |
+
}
|
498 |
+
.success-box {
|
499 |
+
background-color: #d4edda;
|
500 |
+
border-color: #c3e6cb;
|
501 |
+
color: #155724;
|
502 |
+
}
|
503 |
+
.error-box {
|
504 |
+
background-color: #f8d7da;
|
505 |
+
border-color: #f5c6cb;
|
506 |
+
color: #721c24;
|
507 |
}
|
508 |
"""
|
509 |
) as demo:
|
510 |
|
511 |
gr.Markdown("""
|
512 |
+
# π YouTube Stock Recommendation Extractor
|
513 |
|
514 |
+
**Extract stock analysis and trading recommendations from YouTube videos using AI**
|
515 |
|
516 |
+
π§ **How it works:**
|
517 |
+
1. **Upload cookies.txt** (essential for avoiding restrictions)
|
518 |
+
2. **Paste YouTube URL** of financial content
|
519 |
+
3. **AI downloads** audio and transcribes using Whisper
|
520 |
+
4. **Extracts** stock symbols, prices, and recommendations
|
|
|
521 |
|
522 |
+
β οΈ **Important:** This tool is for educational purposes only. Always do your own research before investing!
|
523 |
""")
|
524 |
|
525 |
with gr.Row():
|
526 |
with gr.Column(scale=1):
|
527 |
+
# System check section
|
528 |
+
with gr.Group():
|
529 |
+
gr.Markdown("### π System Status")
|
530 |
+
check_req_btn = gr.Button(
|
531 |
+
"Check System Requirements",
|
532 |
+
variant="secondary",
|
533 |
+
size="sm"
|
534 |
+
)
|
535 |
+
|
536 |
+
requirements_output = gr.Textbox(
|
537 |
+
label="π System Requirements Status",
|
538 |
+
lines=8,
|
539 |
+
max_lines=15,
|
540 |
+
interactive=False,
|
541 |
+
visible=False
|
542 |
+
)
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|
543 |
|
544 |
+
# Input section
|
545 |
+
with gr.Group():
|
546 |
+
gr.Markdown("### π₯ Input")
|
547 |
+
|
548 |
+
# Cookies upload with better instructions
|
549 |
+
cookies_input = gr.File(
|
550 |
+
label="πͺ Upload Cookies File (cookies.txt) - REQUIRED",
|
551 |
+
file_types=[".txt"],
|
552 |
+
file_count="single"
|
553 |
+
)
|
554 |
+
|
555 |
+
with gr.Accordion("π How to Get Cookies (Click to expand)", open=False):
|
556 |
+
gr.Markdown("""
|
557 |
+
**Why cookies are needed:** YouTube blocks most automated requests without proper authentication.
|
558 |
+
|
559 |
+
**Step-by-step instructions:**
|
560 |
+
1. **Install browser extension:**
|
561 |
+
- Chrome: "Get cookies.txt LOCALLY" or "cookies.txt"
|
562 |
+
- Firefox: "cookies.txt" or "Export Cookies"
|
563 |
+
|
564 |
+
2. **Get cookies:**
|
565 |
+
- Visit YouTube.com (log in if needed)
|
566 |
+
- Click the extension icon
|
567 |
+
- Select "Export for youtube.com"
|
568 |
+
- Download the cookies.txt file
|
569 |
+
|
570 |
+
3. **Upload here:** Use the file upload above
|
571 |
+
|
572 |
+
**β οΈ Without cookies, you'll get "403 Forbidden" or "Video unavailable" errors**
|
573 |
+
""")
|
574 |
+
|
575 |
+
url_input = gr.Textbox(
|
576 |
+
label="πΊ YouTube Video URL",
|
577 |
+
placeholder="https://www.youtube.com/watch?v=VIDEO_ID",
|
578 |
+
lines=2,
|
579 |
+
info="Paste the full YouTube video URL here"
|
580 |
+
)
|
581 |
+
|
582 |
+
process_btn = gr.Button(
|
583 |
+
"π Extract Stock Information",
|
584 |
+
variant="primary",
|
585 |
+
size="lg"
|
586 |
+
)
|
587 |
+
|
588 |
+
# Status display
|
589 |
+
status_output = gr.Textbox(
|
590 |
+
label="π Status",
|
591 |
+
lines=1,
|
592 |
+
interactive=False,
|
593 |
+
info="Current processing status"
|
594 |
+
)
|
595 |
|
596 |
+
# Output section
|
597 |
with gr.Row():
|
598 |
with gr.Column():
|
599 |
transcript_output = gr.Textbox(
|
600 |
label="π Full Transcript",
|
601 |
+
lines=20,
|
602 |
+
max_lines=25,
|
603 |
+
show_copy_button=True,
|
604 |
+
info="Complete transcription of the video audio"
|
605 |
)
|
606 |
|
607 |
with gr.Column():
|
608 |
stock_info_output = gr.Textbox(
|
609 |
label="π Extracted Stock Information",
|
610 |
+
lines=20,
|
611 |
+
max_lines=25,
|
612 |
+
show_copy_button=True,
|
613 |
+
info="Parsed stock symbols, prices, and recommendations"
|
614 |
+
)
|
615 |
+
|
616 |
+
# Example and troubleshooting section
|
617 |
+
with gr.Row():
|
618 |
+
with gr.Column():
|
619 |
+
gr.Markdown("### π Example URLs")
|
620 |
+
gr.Examples(
|
621 |
+
examples=[
|
622 |
+
["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],
|
623 |
+
["https://youtu.be/dQw4w9WgXcQ"],
|
624 |
+
],
|
625 |
+
inputs=[url_input],
|
626 |
+
label="Click to try example URLs (replace with actual financial videos)"
|
627 |
)
|
628 |
|
629 |
+
# Troubleshooting section
|
630 |
+
with gr.Accordion("π§ Troubleshooting Guide", open=False):
|
631 |
+
gr.Markdown("""
|
632 |
+
### Common Issues and Solutions:
|
633 |
+
|
634 |
+
**β "Video unavailable" or "Content isn't available":**
|
635 |
+
- Video might be private, deleted, or geo-blocked
|
636 |
+
- Try a different public financial video
|
637 |
+
- Verify the URL works in your browser
|
638 |
+
- Check if video requires age verification
|
639 |
+
|
640 |
+
**β "403 Forbidden" error:**
|
641 |
+
- **Upload fresh cookies.txt file** (most common fix)
|
642 |
+
- Make sure cookies are from a logged-in YouTube account
|
643 |
+
- Try waiting 10-15 minutes (rate limiting)
|
644 |
+
|
645 |
+
**β "No speech detected":**
|
646 |
+
- Video might not have clear audio
|
647 |
+
- Try videos with clear narration
|
648 |
+
- Check if video is in English
|
649 |
+
|
650 |
+
**β "No stock information found":**
|
651 |
+
- Video might not contain financial content
|
652 |
+
- Try videos from financial YouTube channels
|
653 |
+
- Look for videos with stock analysis or recommendations
|
654 |
+
|
655 |
+
### Installation Commands:
|
656 |
+
```bash
|
657 |
+
# Install all requirements
|
658 |
+
pip install gradio yt-dlp openai-whisper torch torchaudio
|
659 |
+
|
660 |
+
# Alternative whisper installation
|
661 |
+
pip install transformers torch torchaudio
|
662 |
+
```
|
663 |
+
|
664 |
+
### Best Practices:
|
665 |
+
- Use videos from reputable financial channels
|
666 |
+
- Prefer videos under 20 minutes for faster processing
|
667 |
+
- Ensure clear audio quality
|
668 |
+
- Always verify extracted information independently
|
669 |
+
""")
|
670 |
+
|
671 |
# Event handlers
|
672 |
def show_requirements():
|
673 |
status = check_requirements()
|
|
|
685 |
show_progress=True
|
686 |
)
|
687 |
|
688 |
+
# Footer
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
689 |
gr.Markdown("""
|
690 |
+
---
|
691 |
+
**π’ Disclaimer:** This tool is for educational and research purposes only.
|
692 |
+
The extracted information should not be considered as financial advice.
|
693 |
+
Always conduct your own research and consult with financial professionals before making investment decisions.
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
694 |
""")
|
695 |
|
696 |
+
# Launch configuration for Gradio Cloud
|
697 |
if __name__ == "__main__":
|
698 |
+
demo.launch(
|
699 |
+
server_name="0.0.0.0",
|
700 |
+
server_port=7860,
|
701 |
+
share=False,
|
702 |
+
debug=False,
|
703 |
+
show_error=True,
|
704 |
+
quiet=False
|
705 |
+
)
|