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Update app.py
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app.py
CHANGED
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@@ -4,27 +4,26 @@ from markdownify import markdownify
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import traceback # To help format potential errors
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from readability import Document
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from bs4 import BeautifulSoup
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# Configure requests with a timeout and user-agent
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DEFAULT_TIMEOUT = 20
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HEADERS = {'User-Agent': 'GradioHTMLtoMarkdownConverter/1.0 (+https://hf.space)'}
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# Função MODIFICADA para retornar APENAS a string de resultado
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def html_to_markdown_converter(url: str, html_input: str) -> str:
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"""
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Converts HTML (from URL or direct input) to Markdown.
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Attempts to extract main content using readability.
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Returns the resulting Markdown string or an error message.
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"""
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html_content = ""
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source = ""
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use_readability = True
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# Clean up inputs
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url = url.strip() if url else ""
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html_input = html_input.strip() if html_input else ""
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# --- Start processing ---
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try:
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# --- Step 1: Get HTML Content ---
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if url:
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@@ -41,123 +40,135 @@ def html_to_markdown_converter(url: str, html_input: str) -> str:
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html_content = response.text
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print(f"Successfully fetched {len(html_content)} bytes from URL.")
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except requests.exceptions.MissingSchema:
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print(error_msg)
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return error_msg
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except requests.exceptions.Timeout:
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print(error_msg)
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return error_msg
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except requests.exceptions.RequestException as e:
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error_msg = f"❌ Error: Failed to fetch content from URL: `{url}`\n```\n{e}\n```"
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return error_msg
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except Exception as e:
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error_msg = f"❌ Error: An unexpected error occurred while fetching the URL.\n```\n{traceback.format_exc()}\n```"
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return error_msg
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elif html_input:
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source = "Direct HTML Input"
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print(f"Using direct HTML input ({len(html_input)} bytes).")
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html_content = html_input
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else:
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return info_msg
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# ---
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if not html_content:
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processed_html = html_content
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article_title = ""
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if use_readability:
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print("Attempting to extract main content using Readability...")
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try:
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for tag in soup_pre(['script', 'style', 'iframe', 'svg', 'noscript']):
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tag.decompose()
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cleaned_html_for_readability = str(soup_pre)
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doc = Document(cleaned_html_for_readability) # Use cleaned HTML
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article_title = doc.title()
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processed_html_summary = doc.summary()
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if
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else:
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except Exception as e:
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print(f"Readability processing failed: {e}. Falling back to full HTML.")
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# --- Step 3: Convert the Processed HTML to Markdown ---
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if not processed_html.strip():
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print(error_msg)
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return error_msg
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print(f"Attempting to convert processed HTML (length: {len(processed_html)}) to Markdown...")
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try:
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# Using markdownify options to potentially strip unwanted tags that readability missed
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markdown_output = markdownify(
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processed_html,
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heading_style="ATX",
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bullets='*'
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if article_title and processed_html != html_content:
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final_output = f"# {article_title}\n\n{markdown_output}"
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else:
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if not
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print(info_msg)
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return info_msg
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return final_output.strip() # Strip leading/trailing whitespace from final output
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except Exception as e:
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error_msg = f"❌ Error: Failed to convert HTML to Markdown.\n```\n{traceback.format_exc()}\n```"
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return error_msg
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except Exception as e:
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error_msg = f"❌ Error: An unexpected error occurred during processing.\n```\n{traceback.format_exc()}\n```"
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return error_msg
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# --- Gradio Interface (Standard) ---
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title = "HTML to Markdown Converter (Smart Extraction)"
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description = """
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Enter a URL **or** paste HTML code directly into the text box below.
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The tool attempts to extract the main article content using
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The resulting Markdown code is displayed below. Use the **copy icon** (📋) in the output box to copy the code.
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"""
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article = """
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**How it works:**
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2.
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3. Uses `
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"""
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# Define input components
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description=description,
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article=article,
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allow_flagging='never',
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# --- UPDATED EXAMPLES ---
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examples=[
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["https://psychedelic.com.br/profissoes-boneca-barbie/", ""],
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["https://agideia.com.br/tutoriais/ai-inteligencia-artificial/integre-uma-ia-gratuita-gemma-2b-ao-seu-site-wordpress-usando-google-colab-e-cloudflare/", ""],
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["", "<h1>Título Simples</h1>\n<p>Este é um parágrafo de exemplo com <strong>texto em negrito</strong> e <em>texto em itálico</em>.</p>\n<ul>\n<li>Item 1</li>\n<li>Item 2</li>\n</ul>"]
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],
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cache_examples=False # Keep False as we fetch live URLs
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)
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# Launch the app
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if __name__ == "__main__":
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# Reminder: requirements.txt
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# gradio
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# requests
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# markdownify
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# beautifulsoup4
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# readability-lxml
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# lxml[html_clean]
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iface.launch()
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import traceback # To help format potential errors
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from readability import Document
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from bs4 import BeautifulSoup
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import re # Import regex for potentially cleaning readability titles
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# Configure requests with a timeout and user-agent
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DEFAULT_TIMEOUT = 20
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HEADERS = {'User-Agent': 'GradioHTMLtoMarkdownConverter/1.0 (+https://hf.space)'}
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def html_to_markdown_converter(url: str, html_input: str) -> str:
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"""
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Converts HTML (from URL or direct input) to Markdown.
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Attempts to extract main content using readability.
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Uses readability title, falls back to first H1 if needed, and prevents duplication.
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Returns the resulting Markdown string or an error message.
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"""
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html_content = ""
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source = ""
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use_readability = True
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url = url.strip() if url else ""
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html_input = html_input.strip() if html_input else ""
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try:
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# --- Step 1: Get HTML Content ---
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if url:
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html_content = response.text
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print(f"Successfully fetched {len(html_content)} bytes from URL.")
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except requests.exceptions.MissingSchema:
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return f"❌ Error: Invalid URL: `{url}`. Please include `http://` or `https://`."
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except requests.exceptions.Timeout:
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return f"❌ Error: Request timed out after {DEFAULT_TIMEOUT} seconds trying to fetch URL: `{url}`"
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except requests.exceptions.RequestException as e:
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return f"❌ Error: Failed to fetch content from URL: `{url}`\n```\n{e}\n```"
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except Exception as e:
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return f"❌ Error: An unexpected error occurred while fetching the URL.\n```\n{traceback.format_exc()}\n```"
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elif html_input:
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source = "Direct HTML Input"
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print(f"Using direct HTML input ({len(html_input)} bytes).")
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html_content = html_input
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else:
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return "❓ Please provide a URL or paste HTML content in the fields above."
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# --- Pre-cleaning before Readability ---
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if not html_content: return f"❓ No HTML content found from {source}."
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print("Pre-cleaning HTML...")
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soup_pre = BeautifulSoup(html_content, 'html.parser')
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for tag in soup_pre(['script', 'style', 'iframe', 'svg', 'noscript', 'header', 'footer', 'nav', 'aside']): # More aggressive cleaning
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tag.decompose()
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cleaned_html = str(soup_pre) # Use this cleaned version going forward
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# --- Step 2: Extract Main Content and Title (using Readability) ---
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processed_html = cleaned_html # Default to cleaned HTML
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readability_title = None
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final_title = None # <<< Title to be used in the final output
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if use_readability:
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print("Attempting to extract main content using Readability...")
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try:
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doc = Document(cleaned_html) # Use cleaned HTML
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readability_title = doc.title()
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processed_html_summary = doc.summary()
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# Check if readability summary is valid
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soup_summary_check = BeautifulSoup(processed_html_summary, 'html.parser')
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if soup_summary_check.text.strip():
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processed_html = processed_html_summary # Use summary if valid
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print(f"Readability extracted title: '{readability_title}'. Using summary.")
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else:
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print("Readability summary was empty. Falling back to cleaned full HTML.")
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# processed_html remains cleaned_html
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readability_title = None # Discard title if summary failed
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except Exception as e:
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print(f"Readability processing failed: {e}. Falling back to cleaned full HTML.")
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# processed_html remains cleaned_html
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readability_title = None
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# --- Title Decision Logic ---
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# Priority 1: Readability title (if good)
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if readability_title and len(readability_title) > 3 and not readability_title.startswith('[') : # Basic check for valid title
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final_title = readability_title.strip()
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print(f"Using Readability title: '{final_title}'")
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# Priority 2: Fallback to first H1 from CLEANED HTML if no good Readability title
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if not final_title:
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print("Readability title not suitable or not found. Looking for H1 fallback...")
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soup_for_h1 = BeautifulSoup(cleaned_html, 'html.parser')
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h1_tag = soup_for_h1.find('h1')
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if h1_tag:
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h1_text = h1_tag.get_text(strip=True)
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if h1_text:
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final_title = h1_text
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print(f"Using H1 fallback title: '{final_title}'")
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# --- Prevent Title Duplication in Content ---
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if final_title:
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print(f"Checking for title duplication in processed HTML (first H1)...")
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soup_proc = BeautifulSoup(processed_html, 'html.parser')
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first_h1_in_proc = soup_proc.find('h1')
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if first_h1_in_proc:
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h1_proc_text = first_h1_in_proc.get_text(strip=True)
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# Check if the H1 text in content matches the final title we decided on
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if h1_proc_text == final_title:
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print(f"Found matching H1 ('{h1_proc_text}') in content. Removing it to prevent duplication.")
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first_h1_in_proc.decompose() # Remove the H1 tag
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processed_html = str(soup_proc) # Update the HTML string to be converted
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# --- Step 3: Convert the Processed HTML to Markdown ---
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if not processed_html.strip():
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return f"❓ The HTML content (after processing) appears to be empty."
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print(f"Attempting to convert final processed HTML (length: {len(processed_html)}) to Markdown...")
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try:
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markdown_output = markdownify(
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processed_html,
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heading_style="ATX",
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bullets='*'
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).strip() # Strip whitespace from markdown output
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# Assemble final output
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if final_title:
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# Prepend the decided title if one exists
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final_markdown = f"# {final_title}\n\n{markdown_output}"
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else:
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# Otherwise, just use the converted markdown
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final_markdown = markdown_output
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if not final_markdown.strip():
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return f"ℹ️ The conversion resulted in empty Markdown."
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return final_markdown.strip() # Return final cleaned string
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except Exception as e:
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return f"❌ Error: Failed to convert HTML to Markdown.\n```\n{traceback.format_exc()}\n```"
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except Exception as e:
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return f"❌ Error: An unexpected error occurred during processing.\n```\n{traceback.format_exc()}\n```"
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# --- Gradio Interface (Standard) ---
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title = "HTML to Markdown Converter (Smart Extraction)"
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description = """
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Enter a URL **or** paste HTML code directly into the text box below.
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The tool attempts to extract the main article content, identifies a title (using page title or first H1 as fallback), and converts it to Markdown.
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The resulting Markdown code is displayed below. Use the **copy icon** (📋) in the output box to copy the code.
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"""
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article = """
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**How it works:**
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1. Fetches HTML from URL or uses pasted input.
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2. Performs basic cleaning (removes scripts, styles, headers, footers, etc.).
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3. Uses `readability-lxml` to extract the main content and attempt to find a page title.
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4. **Title Logic:** Prefers the title found by `readability`. If none is found or it seems invalid, it looks for the first `<h1>` tag in the cleaned HTML as a fallback.
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5. **Deduplication:** If a title is determined, the tool checks if the *first* `<h1>` tag within the extracted main content matches this title. If so, it removes that `<h1>` tag *before* conversion to prevent the title appearing twice.
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6. Uses `markdownify` to convert the processed HTML (potentially without its first H1) into Markdown.
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7. Prepends the determined title (if any) to the final Markdown output.
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8. Displays the raw Markdown code in the output box with a copy button.
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"""
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# Define input components
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description=description,
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article=article,
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allow_flagging='never',
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examples=[
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["https://psychedelic.com.br/profissoes-boneca-barbie/", ""],
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["https://agideia.com.br/tutoriais/ai-inteligencia-artificial/integre-uma-ia-gratuita-gemma-2b-ao-seu-site-wordpress-usando-google-colab-e-cloudflare/", ""],
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["", "<h1>Título Simples</h1>\n<p>Este é um parágrafo de exemplo com <strong>texto em negrito</strong> e <em>texto em itálico</em>.</p>\n<ul>\n<li>Item 1</li>\n<li>Item 2</li>\n</ul>"],
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# Add an example without H1 to test no-title scenario
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["", "<p>Um parágrafo sem título H1.</p><div><p>Outro conteúdo.</p></div>"]
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],
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cache_examples=False
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)
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# Launch the app
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if __name__ == "__main__":
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# Reminder: requirements.txt includes:
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# gradio, requests, markdownify, beautifulsoup4, readability-lxml, lxml[html_clean]
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| 216 |
iface.launch()
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