create_index_html_from_csv_txt.py
In this file, the input: csv contains a tuple, a map, for links and titles
the output: HTML file
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import pandas as pd
import os
# Function to generate an HTML page with menu and blog content
def generate_html_with_blog(csv_file, blog_text_files, output_html_file):
# Read the CSV file into a DataFrame
df = pd.read_csv(csv_file)
# Start the HTML content
html_content = “””
<!DOCTYPE html>
<html lang=”en”>
<head>
<meta charset=”UTF-8">
<meta name=”viewport” content=”width=device-width, initial-scale=1.0">
<style>
body {
font-family: Arial, sans-serif;
}
.container {
display: flex;
flex-direction: row;
}
.menu {
width: 25%;
background-color: #f4f4f4;
padding: 10px;
}
.blog {
width: 75%;
padding: 20px;
}
.menu ul {
list-style-type: none;
padding: 0;
}
.menu li {
margin-bottom: 10px;
}
.menu a {
text-decoration: none;
color: black;
font-weight: bold;
}
.blog img {
max-width: 50%;
height: auto;
}
</style>
<title>Naclai Machine Learning and Artificial Intelligence Consultants and Engineers AI Consulting Services for Chemicals, Chemical Processes </title>
</head>
<body>
<div class=”container”>
<div class=”menu”>
<h2>Naclai</h2>
<ul>
“””
# Add each link and name from the CSV file to the HTML content (menu)
for index, row in df.iterrows():
link = row[0]
name = row[1]
html_content += f’ <li><a href=”{link}”>{name}</a></li>\n’
# Close the menu section and start the blog section
html_content += “””
</ul>
</div>
<div class=”blog”>
“””
# Loop through each blog text file and add content to the blog section
for i, blog_file in enumerate(blog_text_files, start=1):
blog_title = f”Launch Machine Learning Models -{i}”
blog_image_prefix = f”{i}_blog_image” # Images will be like ‘1_blog_image1.jpg’, ‘2_blog_image1.jpg’, etc.
# Read the blog text from file
if os.path.exists(blog_file):
with open(blog_file, ‘r’) as file:
blog_content = file.read()
else:
blog_content = “Blog content not found.”
# Add the blog title, content, and images
html_content += f”””
<h2>{blog_title}</h2>
<p>{blog_content}</p>
“””
# Add images for the blog (assuming image filenames are in the format ‘1_blog_image1.jpg’, ‘2_blog_image1.jpg’, etc.)
for img_num in range(1, 4): # Assuming each blog may have up to 3 images
image_path = f’{blog_image_prefix}{img_num}.jpg’
if os.path.exists(image_path):
html_content += f’<img src=”{image_path}” alt=”Image {img_num} for Blog {i}”>\n’
# Close the blog section and HTML tags
html_content += “””
</div>
</div>
</body>
</html>
“””
# Write the HTML content to a file
with open(output_html_file, ‘w’) as file:
file.write(html_content)
print(f’HTML file “{output_html_file}” generated successfully!’)
# Example usage
csv_file = ‘website_pages.csv’ # Replace with the path to your CSV file
blog_text_files = [‘1_blog.txt’, ‘2_blog.txt’] # List of blog text files
output_html_file = ‘index2.html’
generate_html_with_blog(csv_file, blog_text_files, output_html_file)
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