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import requests | |
from bs4 import BeautifulSoup | |
from urllib.parse import urlparse, urljoin | |
import gradio as gr | |
import re | |
import concurrent.futures | |
import pandas as pd | |
from datetime import datetime | |
import matplotlib.pyplot as plt | |
import numpy as np | |
import time | |
class SEOChecker: | |
def __init__(self): | |
self.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' | |
self.headers = {'User-Agent': self.user_agent} | |
def get_page_content(self, url): | |
"""Fetch page content with error handling and timeout""" | |
if not url.startswith(('http://', 'https://')): | |
url = "https://" + url | |
try: | |
response = requests.get(url, headers=self.headers, timeout=15) | |
response.raise_for_status() | |
return response.text, url, None | |
except requests.exceptions.RequestException as e: | |
return None, url, str(e) | |
def check_page_speed(self, url): | |
"""Basic page load time measurement""" | |
start_time = time.time() | |
try: | |
requests.get(url, headers=self.headers, timeout=10) | |
load_time = time.time() - start_time | |
return load_time | |
except: | |
return None | |
def get_keyword_suggestions(self, content): | |
"""Extract potential keywords from text content""" | |
if not content: | |
return [] | |
# Remove HTML tags | |
text = BeautifulSoup(content, "html.parser").get_text() | |
# Clean and tokenize | |
words = re.findall(r'\b[a-zA-Z]{4,15}\b', text.lower()) | |
# Count word frequency | |
word_freq = {} | |
for word in words: | |
if word not in ['this', 'that', 'with', 'from', 'have', 'were', 'they', 'will', 'what', 'when', 'where', 'which']: | |
word_freq[word] = word_freq.get(word, 0) + 1 | |
# Return top keywords | |
keywords = sorted(word_freq.items(), key=lambda x: x[1], reverse=True) | |
return keywords[:10] | |
def analyze_seo(self, url): | |
"""Main SEO analysis function""" | |
content, final_url, error = self.get_page_content(url) | |
if error: | |
return { | |
"status": "error", | |
"message": f"Error accessing URL: {error}", | |
"details": {}, | |
"score": 0, | |
"suggestions": [] | |
} | |
soup = BeautifulSoup(content, "html.parser") | |
parsed_url = urlparse(final_url) | |
base_url = f"{parsed_url.scheme}://{parsed_url.netloc}" | |
# Initialize result dictionary | |
result = { | |
"status": "success", | |
"url": final_url, | |
"details": {}, | |
"checks": [], | |
"suggestions": [], | |
"keywords": self.get_keyword_suggestions(content) | |
} | |
# Title check | |
title = soup.title.string.strip() if soup.title else "" | |
title_len = len(title) if title else 0 | |
title_status = "good" if title and 10 <= title_len <= 60 else "warning" if title else "error" | |
result["details"]["title"] = { | |
"content": title, | |
"length": title_len, | |
"status": title_status | |
} | |
if not title: | |
result["checks"].append({"type": "error", "message": "Missing <title> tag"}) | |
result["suggestions"].append("Add a descriptive title tag between 50-60 characters") | |
elif title_len > 60: | |
result["checks"].append({"type": "warning", "message": f"Title is too long ({title_len} chars)"}) | |
result["suggestions"].append("Keep title under 60 characters for better display in search results") | |
elif title_len < 10: | |
result["checks"].append({"type": "warning", "message": f"Title is too short ({title_len} chars)"}) | |
result["suggestions"].append("Make title more descriptive (30-60 characters recommended)") | |
else: | |
result["checks"].append({"type": "good", "message": f"Title length is good ({title_len} chars)"}) | |
# Meta description | |
desc_tag = soup.find("meta", attrs={"name": "description"}) | |
desc = desc_tag["content"].strip() if desc_tag and desc_tag.get("content") else "" | |
desc_len = len(desc) if desc else 0 | |
desc_status = "good" if desc and 50 <= desc_len <= 160 else "warning" if desc else "error" | |
result["details"]["meta_description"] = { | |
"content": desc, | |
"length": desc_len, | |
"status": desc_status | |
} | |
if not desc: | |
result["checks"].append({"type": "error", "message": "Missing meta description"}) | |
result["suggestions"].append("Add a meta description summarizing your page content") | |
elif desc_len > 160: | |
result["checks"].append({"type": "warning", "message": f"Meta description is too long ({desc_len} chars)"}) | |
result["suggestions"].append("Keep meta description under 160 characters") | |
elif desc_len < 50: | |
result["checks"].append({"type": "warning", "message": f"Meta description is too short ({desc_len} chars)"}) | |
result["suggestions"].append("Make meta description more informative (100-160 chars recommended)") | |
else: | |
result["checks"].append({"type": "good", "message": f"Meta description length is good ({desc_len} chars)"}) | |
# Canonical URL | |
canonical = soup.find("link", rel="canonical") | |
canonical_url = canonical.get("href") if canonical else None | |
result["details"]["canonical"] = { | |
"exists": canonical is not None, | |
"url": canonical_url | |
} | |
if not canonical: | |
result["checks"].append({"type": "warning", "message": "Missing canonical link"}) | |
result["suggestions"].append("Add a canonical link to prevent duplicate content issues") | |
else: | |
result["checks"].append({"type": "good", "message": "Canonical link is present"}) | |
# Headings structure | |
headings = {f"h{i}": len(soup.find_all(f"h{i}")) for i in range(1, 7)} | |
result["details"]["headings"] = headings | |
if headings["h1"] == 0: | |
result["checks"].append({"type": "error", "message": "No H1 heading found"}) | |
result["suggestions"].append("Add a single H1 heading that describes your main content") | |
elif headings["h1"] > 1: | |
result["checks"].append({"type": "warning", "message": f"Multiple H1 headings found ({headings['h1']})"}) | |
result["suggestions"].append("Use only one H1 heading per page for SEO clarity") | |
else: | |
result["checks"].append({"type": "good", "message": "Single H1 heading structure is good"}) | |
if sum(headings.values()) < 3: | |
result["checks"].append({"type": "warning", "message": "Few headings used in content"}) | |
result["suggestions"].append("Structure content with more headings for readability and SEO") | |
# Mobile viewport | |
viewport = soup.find("meta", attrs={"name": "viewport"}) | |
result["details"]["viewport"] = viewport is not None | |
if not viewport: | |
result["checks"].append({"type": "warning", "message": "No viewport meta tag"}) | |
result["suggestions"].append("Add viewport meta tag for mobile responsiveness") | |
else: | |
result["checks"].append({"type": "good", "message": "Viewport meta tag is present"}) | |
# HTTPS check | |
is_https = final_url.startswith("https://") | |
result["details"]["https"] = is_https | |
if not is_https: | |
result["checks"].append({"type": "error", "message": "Site is not using HTTPS"}) | |
result["suggestions"].append("Install SSL and redirect HTTP to HTTPS for security and SEO") | |
else: | |
result["checks"].append({"type": "good", "message": "Site is using HTTPS"}) | |
# Images alt text | |
images = soup.find_all("img") | |
images_no_alt = [img.get('src', '(no src)') for img in images if not img.get("alt")] | |
result["details"]["images"] = { | |
"total": len(images), | |
"missing_alt": len(images_no_alt), | |
"examples_missing_alt": images_no_alt[:3] | |
} | |
if images and images_no_alt: | |
result["checks"].append({"type": "warning", "message": f"{len(images_no_alt)} of {len(images)} images missing alt text"}) | |
result["suggestions"].append("Add descriptive alt attributes to all images for accessibility and SEO") | |
elif images: | |
result["checks"].append({"type": "good", "message": "All images have alt text"}) | |
# Check robots.txt and sitemap | |
with concurrent.futures.ThreadPoolExecutor() as executor: | |
robots_future = executor.submit(self.check_file_exists, urljoin(base_url, "/robots.txt")) | |
sitemap_future = executor.submit(self.check_file_exists, urljoin(base_url, "/sitemap.xml")) | |
robots_exists = robots_future.result() | |
sitemap_exists = sitemap_future.result() | |
result["details"]["robots_txt"] = robots_exists | |
result["details"]["sitemap_xml"] = sitemap_exists | |
if not robots_exists: | |
result["checks"].append({"type": "warning", "message": "robots.txt not found"}) | |
result["suggestions"].append("Create a robots.txt file to guide search engines") | |
else: | |
result["checks"].append({"type": "good", "message": "robots.txt file exists"}) | |
if not sitemap_exists: | |
result["checks"].append({"type": "warning", "message": "sitemap.xml not found"}) | |
result["suggestions"].append("Add a sitemap.xml file for better crawling") | |
else: | |
result["checks"].append({"type": "good", "message": "sitemap.xml file exists"}) | |
# Open Graph Tags | |
og_tags = { | |
"title": soup.find("meta", property="og:title") is not None, | |
"description": soup.find("meta", property="og:description") is not None, | |
"image": soup.find("meta", property="og:image") is not None | |
} | |
result["details"]["open_graph"] = og_tags | |
og_missing = [tag for tag, exists in og_tags.items() if not exists] | |
if og_missing: | |
result["checks"].append({"type": "warning", "message": f"Missing Open Graph tags: {', '.join(og_missing)}"}) | |
result["suggestions"].append("Add Open Graph meta tags to improve sharing on social media") | |
else: | |
result["checks"].append({"type": "good", "message": "Open Graph meta tags are present"}) | |
# Link analysis | |
links = soup.find_all("a", href=True) | |
internal_links = [] | |
external_links = [] | |
for link in links: | |
href = link.get('href', '') | |
if not href or href.startswith('#'): | |
continue | |
if href.startswith('/') or parsed_url.netloc in href: | |
internal_links.append(href) | |
elif href.startswith(('http://', 'https://')): | |
external_links.append(href) | |
result["details"]["links"] = { | |
"internal": len(internal_links), | |
"external": len(external_links), | |
"total": len(internal_links) + len(external_links) | |
} | |
result["checks"].append({"type": "info", "message": f"Found {len(internal_links)} internal and {len(external_links)} external links"}) | |
if len(internal_links) < 2 and not (len(internal_links) == 0 and len(external_links) == 0): | |
result["suggestions"].append("Add more internal links to improve site structure") | |
# Text to HTML ratio analysis | |
html_size = len(content) | |
text = soup.get_text() | |
text_size = len(text) | |
if html_size > 0: | |
text_ratio = (text_size / html_size) * 100 | |
else: | |
text_ratio = 0 | |
result["details"]["content"] = { | |
"html_size": html_size, | |
"text_size": text_size, | |
"text_ratio": text_ratio | |
} | |
if text_ratio < 10: | |
result["checks"].append({"type": "warning", "message": f"Low text-to-HTML ratio: {text_ratio:.1f}%"}) | |
result["suggestions"].append("Increase text content relative to HTML for better SEO") | |
else: | |
result["checks"].append({"type": "good", "message": f"Text-to-HTML ratio: {text_ratio:.1f}%"}) | |
# Page speed (basic) | |
load_time = self.check_page_speed(final_url) | |
result["details"]["page_speed"] = load_time | |
if load_time: | |
if load_time > 2: | |
result["checks"].append({"type": "warning", "message": f"Slow page load time: {load_time:.2f} seconds"}) | |
result["suggestions"].append("Optimize page speed by reducing file sizes and requests") | |
else: | |
result["checks"].append({"type": "good", "message": f"Page load time: {load_time:.2f} seconds"}) | |
# Calculate overall score | |
scores = {"good": 10, "info": 5, "warning": 0, "error": -10} | |
total_points = sum(scores.get(check["type"], 0) for check in result["checks"]) | |
max_score = 10 * sum(1 for check in result["checks"] if check["type"] in ["good", "error"]) | |
if max_score > 0: | |
percentage_score = min(100, max(0, (total_points + max_score) / (2 * max_score) * 100)) | |
else: | |
percentage_score = 50 | |
result["score"] = round(percentage_score) | |
return result | |
def check_file_exists(self, url): | |
"""Check if a file exists at the given URL""" | |
try: | |
response = requests.head(url, headers=self.headers, timeout=5) | |
return response.status_code == 200 | |
except: | |
return False | |
def generate_chart(self, result): | |
"""Generate SEO score chart data""" | |
if result["status"] == "error": | |
return None | |
categories = { | |
"title": result["details"]["title"]["status"] == "good", | |
"meta_description": result["details"]["meta_description"]["status"] == "good", | |
"headings": result["details"]["headings"]["h1"] == 1, | |
"https": result["details"]["https"], | |
"images": result["details"]["images"]["total"] == 0 or result["details"]["images"]["missing_alt"] == 0, | |
"robots_sitemap": result["details"]["robots_txt"] and result["details"]["sitemap_xml"], | |
"open_graph": all(result["details"]["open_graph"].values()) | |
} | |
return categories | |
def format_result_html(result): | |
"""Format the SEO result as HTML for display""" | |
if result["status"] == "error": | |
return f""" | |
<div style="padding: 20px; background-color: #ffebee; border-radius: 8px; margin-bottom: 20px;"> | |
<h3 style="color: #c62828;">Error</h3> | |
<p>{result["message"]}</p> | |
</div> | |
""" | |
# Calculate counts for each check type | |
check_counts = {"good": 0, "info": 0, "warning": 0, "error": 0} | |
for check in result["checks"]: | |
check_counts[check["type"]] = check_counts.get(check["type"], 0) + 1 | |
# Build the HTML | |
html = f""" | |
<div style="font-family: Arial, sans-serif;"> | |
<div style="display: flex; align-items: center; margin-bottom: 20px;"> | |
<div style="width: 120px; height: 120px; position: relative; margin-right: 20px;"> | |
<div style="position: absolute; width: 100%; height: 100%; border-radius: 50%; background: conic-gradient( | |
from 0deg, | |
#4caf50 0% {result["score"]}%, | |
#e0e0e0 {result["score"]}% 100% | |
);"></div> | |
<div style="position: absolute; top: 10px; left: 10px; right: 10px; bottom: 10px; background: white; border-radius: 50%; display: flex; align-items: center; justify-content: center; flex-direction: column;"> | |
<span style="font-size: 28px; font-weight: bold;">{result["score"]}</span> | |
<span style="font-size: 12px;">SEO Score</span> | |
</div> | |
</div> | |
<div> | |
<h2 style="margin: 0 0 10px 0;">SEO Report for {result["url"]}</h2> | |
<div style="display: flex; flex-wrap: wrap; gap: 10px;"> | |
<span style="background-color: #e8f5e9; color: #2e7d32; padding: 5px 10px; border-radius: 4px; font-size: 12px;"> | |
✓ {check_counts["good"]} Passed | |
</span> | |
<span style="background-color: #fff8e1; color: #f57c00; padding: 5px 10px; border-radius: 4px; font-size: 12px;"> | |
⚠ {check_counts["warning"]} Warnings | |
</span> | |
<span style="background-color: #ffebee; color: #c62828; padding: 5px 10px; border-radius: 4px; font-size: 12px;"> | |
✕ {check_counts["error"]} Errors | |
</span> | |
<span style="background-color: #e3f2fd; color: #1565c0; padding: 5px 10px; border-radius: 4px; font-size: 12px;"> | |
ℹ {check_counts["info"]} Info | |
</span> | |
</div> | |
<div style="margin-top: 10px; color: #555; font-size: 13px;"> | |
Generated on {datetime.now().strftime('%Y-%m-%d %H:%M')} | |
</div> | |
</div> | |
</div> | |
<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 20px; margin-bottom: 20px;"> | |
<div style="background-color: #f5f5f5; border-radius: 8px; padding: 15px;"> | |
<h3 style="margin-top: 0; color: #333;">Page Details</h3> | |
<table style="width: 100%; border-collapse: collapse;"> | |
<tr> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd; width: 40%; color: #777;">Title</td> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd;"> | |
{result["details"]["title"]["content"] or "Missing"} | |
<div style="font-size: 12px; color: #777; margin-top: 4px;"> | |
Length: {result["details"]["title"]["length"]} chars | |
{" ✓" if result["details"]["title"]["status"] == "good" else " ⚠"} | |
</div> | |
</td> | |
</tr> | |
<tr> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd; color: #777;">Meta Description</td> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd;"> | |
{result["details"]["meta_description"]["content"] or "Missing"} | |
<div style="font-size: 12px; color: #777; margin-top: 4px;"> | |
Length: {result["details"]["meta_description"]["length"]} chars | |
{" ✓" if result["details"]["meta_description"]["status"] == "good" else " ⚠"} | |
</div> | |
</td> | |
</tr> | |
<tr> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd; color: #777;">Headings</td> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd;"> | |
H1: {result["details"]["headings"]["h1"]}, | |
H2: {result["details"]["headings"]["h2"]}, | |
H3: {result["details"]["headings"]["h3"]} | |
</td> | |
</tr> | |
<tr> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd; color: #777;">Security & Files</td> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd;"> | |
HTTPS: {"✓" if result["details"]["https"] else "✕"}, | |
robots.txt: {"✓" if result["details"]["robots_txt"] else "✕"}, | |
sitemap.xml: {"✓" if result["details"]["sitemap_xml"] else "✕"} | |
</td> | |
</tr> | |
<tr> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd; color: #777;">Links</td> | |
<td style="padding: 8px 0; border-bottom: 1px solid #ddd;"> | |
Internal: {result["details"]["links"]["internal"]}, | |
External: {result["details"]["links"]["external"]} | |
</td> | |
</tr> | |
<tr> | |
<td style="padding: 8px 0; color: #777;">Images</td> | |
<td style="padding: 8px 0;"> | |
Total: {result["details"]["images"]["total"]}, | |
Missing alt: {result["details"]["images"]["missing_alt"]} | |
</td> | |
</tr> | |
</table> | |
</div> | |
<div style="background-color: #f5f5f5; border-radius: 8px; padding: 15px;"> | |
<h3 style="margin-top: 0; color: #333;">Top Potential Keywords</h3> | |
<div style="max-height: 200px; overflow-y: auto;"> | |
<table style="width: 100%; border-collapse: collapse;"> | |
<tr style="background-color: #eee;"> | |
<th style="padding: 8px; text-align: left; border-bottom: 1px solid #ddd;">Keyword</th> | |
<th style="padding: 8px; text-align: right; border-bottom: 1px solid #ddd;">Frequency</th> | |
</tr> | |
""" | |
# Add keyword rows | |
for keyword, count in result["keywords"]: | |
html += f""" | |
<tr> | |
<td style="padding: 8px; border-bottom: 1px solid #ddd;">{keyword}</td> | |
<td style="padding: 8px; border-bottom: 1px solid #ddd; text-align: right;">{count}</td> | |
</tr> | |
""" | |
html += """ | |
</table> | |
</div> | |
</div> | |
</div> | |
<div style="margin-bottom: 20px;"> | |
<h3 style="color: #333;">SEO Checks</h3> | |
<div style="display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 15px;"> | |
""" | |
# Add check cards | |
icons = { | |
"good": "✓", | |
"info": "ℹ", | |
"warning": "⚠", | |
"error": "✕" | |
} | |
bg_colors = { | |
"good": "#e8f5e9", | |
"info": "#e3f2fd", | |
"warning": "#fff8e1", | |
"error": "#ffebee" | |
} | |
text_colors = { | |
"good": "#2e7d32", | |
"info": "#1565c0", | |
"warning": "#f57c00", | |
"error": "#c62828" | |
} | |
for check in result["checks"]: | |
html += f""" | |
<div style="background-color: {bg_colors[check["type"]]}; border-radius: 8px; padding: 12px; position: relative;"> | |
<div style="position: absolute; top: 12px; right: 12px; font-size: 18px;"> | |
{icons[check["type"]]} | |
</div> | |
<div style="color: {text_colors[check["type"]]}; margin-bottom: 5px; font-weight: bold;"> | |
{check["type"].capitalize()} | |
</div> | |
<div style="color: #333;"> | |
{check["message"]} | |
</div> | |
</div> | |
""" | |
html += """ | |
</div> | |
</div> | |
<div style="background-color: #f5f5f5; border-radius: 8px; padding: 15px; margin-bottom: 20px;"> | |
<h3 style="margin-top: 0; color: #333;">Improvement Suggestions</h3> | |
<ul style="margin: 0; padding-left: 20px;"> | |
""" | |
# Add suggestions | |
for suggestion in result["suggestions"]: | |
html += f""" | |
<li style="margin-bottom: 8px;">{suggestion}</li> | |
""" | |
html += """ | |
</ul> | |
</div> | |
</div> | |
""" | |
return html | |
def seo_analysis(url): | |
"""Run the SEO analysis and return results in structured format""" | |
checker = SEOChecker() | |
result = checker.analyze_seo(url) | |
if result["status"] == "error": | |
return result["message"], "", "" | |
# Format text report | |
text_report = f"SEO Score: {result['score']}/100 for {result['url']}\n\n" | |
text_report += "--- SEO CHECKS ---\n" | |
for check in result["checks"]: | |
icon = "✓" if check["type"] == "good" else "ℹ" if check["type"] == "info" else "⚠" if check["type"] == "warning" else "✕" | |
text_report += f"{icon} {check['message']}\n" | |
text_report += "\n--- SUGGESTIONS ---\n" | |
for i, suggestion in enumerate(result["suggestions"], 1): | |
text_report += f"{i}. {suggestion}\n" | |
# Format HTML report | |
html_report = format_result_html(result) | |
# Generate chart data | |
chart_data = checker.generate_chart(result) | |
chart_html = "" | |
if chart_data: | |
# Create simple chart | |
categories = list(chart_data.keys()) | |
values = [int(v) * 100 for v in chart_data.values()] | |
plt.figure(figsize=(10, 6)) | |
colors = ['#4caf50' if v == 100 else '#f57c00' for v in values] | |
y_pos = np.arange(len(categories)) | |
plt.barh(y_pos, values, color=colors) | |
plt.yticks(y_pos, [c.replace('_', ' ').title() for c in categories]) | |
plt.xlim(0, 100) | |
plt.title('SEO Category Performance') | |
plt.xlabel('Score (%)') | |
for i, v in enumerate(values): | |
plt.text(v + 5, i, f"{v}%" if v > 0 else "0%", va='center') | |
# Save to file | |
chart_file = "seo_chart.png" | |
plt.tight_layout() | |
plt.savefig(chart_file) | |
plt.close() | |
# Create HTML image reference | |
chart_html = f'<img src="file={chart_file}" alt="SEO Performance Chart" style="width:100%;max-width:800px;">' | |
return text_report, html_report, chart_html | |
def generate_example_report(): | |
"""Generate an example report for the demo""" | |
checker = SEOChecker() | |
sample_urls = [ | |
"https://example.com", | |
"https://websitelayout.net", | |
"https://yahoo.com" | |
] | |
# Select a random sample URL | |
import random | |
sample_url = random.choice(sample_urls) | |
# Run analysis | |
result = checker.analyze_seo(sample_url) | |
if result["status"] == "error": | |
return f"Error analyzing {sample_url}: {result.get('message', 'Unknown error')}", "", "" | |
# Format text report | |
text_report = f"SAMPLE REPORT - URL: {sample_url}\n\n" | |
text_report += f"SEO Score: {result['score']}/100\n\n" | |
text_report += "--- KEY FINDINGS ---\n" | |
for check in result["checks"][:5]: # Just show top 5 findings | |
icon = "✓" if check["type"] == "good" else "ℹ" if check["type"] == "info" else "⚠" if check["type"] == "warning" else "✕" | |
text_report += f"{icon} {check['message']}\n" | |
text_report += "\n(This is an example report - enter your own URL for a full analysis)" | |
# HTML report | |
html_report = format_result_html(result) | |
html_report += '<div style="background-color: #e3f2fd; color: #0d47a1; padding: 10px; border-radius: 4px; margin-top: 20px; text-align: center;">This is an example report - enter your own URL for a full analysis</div>' | |
# Generate chart data | |
chart_data = checker.generate_chart(result) | |
chart_html = "" | |
return text_report, html_report, chart_html | |
# Set up the Gradio interface | |
def create_interface(): | |
with gr.Blocks(theme=gr.themes.Soft(primary_hue="teal"), css=""" | |
.container { max-width: 1200px; margin: 0 auto; } | |
.header { margin-bottom: 20px; text-align: center; } | |
.header h1 { margin-bottom: 5px; color: #1e88e5; } | |
.header p { color: #555; } | |
.footer { margin-top: 30px; text-align: center; color: #777; font-size: 12px; } | |
.score-box { display: flex; align-items: center; gap: 20px; padding: 20px; margin-bottom: 20px; } | |
.url-input { margin-bottom: 20px; } | |
.report-container { border-radius: 10px; overflow: hidden; } | |
""") as demo: | |
gr.HTML(""" | |
<div class="header"> | |
<h1>Advanced SEO Website Analyzer</h1> | |
<p>Perform a comprehensive SEO audit of any website with detailed insights and recommendations</p> | |
</div> | |
""") | |
with gr.Row(equal_height=True): | |
with gr.Column(): | |
url_input = gr.Textbox( | |
label="Website URL to Analyze", | |
placeholder="Enter URL (e.g., example.com or https://example.com)", | |
scale=3 | |
) | |
with gr.Row(): | |
analyze_btn = gr.Button("Analyze Website", variant="primary", scale=2) | |
example_btn = gr.Button("See Example Report", scale=1) | |
text_output = gr.Textbox( | |
label="Text Summary", | |
placeholder="SEO analysis results will appear here...", | |
lines=10, | |
max_lines=20 | |
) | |
with gr.Column(): | |
html_output = gr.HTML( | |
label="Visual Report", | |
value='<div style="height: 400px; display: flex; justify-content: center; align-items: center; background-color: #f5f5f5; border-radius: 8px;"><p style="color: #777;">Enter a URL and click "Analyze Website" to see a detailed report here.</p></div>' | |
) | |
with gr.Row(): | |
chart_output = gr.HTML( | |
label="Performance Chart", | |
value="" | |
) | |
gr.HTML(""" | |
<div class="footer"> | |
<p>© 2025 SEO Website Analyzer | Provides quick, comprehensive SEO analysis</p> | |
</div> | |
""") | |
# Connect the components | |
analyze_btn.click( | |
fn=seo_analysis, | |
inputs=url_input, | |
outputs=[text_output, html_output, chart_output] | |
) | |
example_btn.click( | |
fn=generate_example_report, | |
inputs=[], | |
outputs=[text_output, html_output, chart_output] | |
) | |
return demo | |
# Run the app | |
if __name__ == "__main__": | |
demo = create_interface() | |
demo.launch(share=True) |