A near perfect replica of Perplexity AI's "Search" function in Python, heavily inspired by clarity-ai.
This Perplexity clone can be easily implemented in Python. Here is an example that can also be found in the example.py file:
from perpclone import perplexity_clone
import webbrowser
import markdown
import tempfile
import openai
# Ask for the API key
openai.api_key = input("Enter your OpenAI API key: ")
# Ask for the prompt
prompt = input("Enter a prompt: ")
# Send the prompt to the perplexity_clone function
result = perplexity_clone(
prompt,
verbose=True
)
# Convert the result to HTML and add the prompt as a header
html = f"<h1>{prompt}</h1>" + markdown.markdown(result.replace("\n", "<br>"))
# Add CSS to the HTML content
html = f"""
<html>
<head>
<style>
body {{
font-family: Arial, sans-serif;
font-size: 20px;
}}
</style>
</head>
<body>
{html}
</body>
</html>
"""
# Save the HTML to a temporary file
with tempfile.NamedTemporaryFile("w", delete=False, suffix=".html") as f:
url = "file://" + f.name
f.write(html)
# Open the HTML file in the browser
webbrowser.open(url)Requirements can be installed via the requirements.txt file. You will also need an API key from OpenAI, optionally with GPT-4 if you would like to enable higher-quality completions.
pip install -r requirements.txtAgain, huge credit to Mckay Wrigley's clarity-ai. A lot of the code from this project was ported from his.