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from flask import Flask, request, render_template_string, Response
from openai import OpenAI
import os
import json
from urllib.parse import quote
import html
app = Flask(__name__)
# Initialize OpenAI client with API key and base URL from environment variables
client = OpenAI(
api_key=os.environ["OPENAI_API_KEY"],
base_url=os.environ["OPENAI_BASE_URL"]
)
# Define constants for pagination
RESULTS_PER_PAGE = 10
TOTAL_RESULTS = 30 # Generate 30 results to allow pagination
def fetch_search_results(query, stream=False):
"""Fetch search results from the LLM, with optional streaming."""
if not query.strip():
return None, "Please enter a search query."
prompt = f"""
You are a search engine that provides informative and relevant results. For the given query '{query}',
generate {TOTAL_RESULTS} search results. Each result should include:
- 'title': A concise, descriptive title of the result.
- 'snippet': A short summary (2-3 sentences) of the content.
- 'url': A plausible, clickable URL where the information might be found (e.g., a real or hypothetical website).
Format the response as a JSON array of objects, where each object has 'title', 'snippet', and 'url' fields.
Ensure the results are diverse, relevant to the query, and the URLs are realistic (e.g., https://example.com/page).
"""
try:
response = client.chat.completions.create(
model="gemini-2.0-flash-lite", # Updated model name
messages=[
{"role": "system", "content": "You are a helpful search engine."},
{"role": "user", "content": prompt}
],
response_format={"type": "json_object"},
stream=stream # Enable streaming if requested
)
if stream:
return response, None # Return raw streaming response
else:
content = response.choices[0].message.content
results = json.loads(content)
# Handle different possible JSON structures
if isinstance(results, dict) and "results" in results:
results = results["results"]
elif isinstance(results, list):
pass
else:
return None, "Error: Unexpected JSON structure."
return results, None
except Exception as e:
error_msg = str(e)
if "404" in error_msg:
return None, f"Error 404: Model or endpoint not found. Check OPENAI_BASE_URL ({os.environ['OPENAI_BASE_URL']}) and model name."
elif "401" in error_msg:
return None, "Error 401: Invalid API key. Check OPENAI_API_KEY."
else:
return None, f"Error: {error_msg}"
def stream_search_results(query, page):
"""Stream search results incrementally."""
stream_response, error = fetch_search_results(query, stream=True)
if error:
yield f"<p style='color: red; text-align: center;'>{error}</p>"
return
# Generate header
header = """
<html>
<head>
<title>LLM Search Engine</title>
<style>
body { font-family: Arial, sans-serif; margin: 0; padding: 0; color: #202124; }
.header { text-align: center; padding: 20px 0; }
.logo { font-size: 36px; font-weight: bold; }
.logo span:nth-child(1) { color: #4285f4; }
.logo span:nth-child(2) { color: #ea4335; }
.logo span:nth-child(3) { color: #fbbc05; }
.logo span:nth-child(4) { color: #4285f4; }
.logo span:nth-child(5) { color: #34a853; }
.search-box { max-width: 584px; margin: 0 auto 20px; }
.search-box input[type="text"] {
width: 100%; padding: 12px 20px; font-size: 16px;
border: 1px solid #dfe1e5; border-radius: 24px;
box-shadow: 0 1px 6px rgba(32,33,36,0.28); outline: none;
}
.search-box input[type="submit"] {
background-color: #f8f9fa; border: 1px solid #f8f9fa;
border-radius: 4px; color: #3c4043; font-size: 14px;
padding: 10px 16px; margin: 11px 4px; cursor: pointer;
}
.search-box input[type="submit"]:hover {
border: 1px solid #dadce0; box-shadow: 0 1px 2px rgba(0,0,0,0.1);
}
.search-buttons { text-align: center; }
.results { max-width: 652px; margin: 0 auto; }
.search-result { margin-bottom: 28px; }
.search-result a { color: #1a0dab; font-size: 20px; text-decoration: none; }
.search-result a:hover { text-decoration: underline; }
.search-result .url { color: #006621; font-size: 14px; line-height: 20px; }
.search-result p { color: #4d5156; font-size: 14px; line-height: 22px; margin: 0; }
.pagination { text-align: center; margin: 40px 0; }
.pagination a, .pagination span {
color: #1a0dab; font-size: 14px; margin: 0 8px; text-decoration: none;
}
.pagination a:hover { text-decoration: underline; }
</style>
</head>
<body>
<div class="header">
<div class="logo">
<span>L</span><span>L</span><span>M</span><span> </span><span>Search</span>
</div>
</div>
<div class="search-box">
<form method="get" action="/">
<input type="text" name="query" value="{{query}}">
<input type="hidden" name="page" value="1">
<div class="search-buttons">
<input type="submit" name="btn" value="LLM Search">
<input type="submit" name="btn" value="I'm Feeling Lucky">
</div>
</form>
</div>
<div class="results">
<h2 style="font-size: 18px; color: #70757a; margin-bottom: 20px;">Results for '{{query}}' (Page {{page}})</h2>
""".replace('{{query}}', html.escape(query)).replace('{{page}}', str(page))
yield header
# Stream and parse results
buffer = ""
results = []
for chunk in stream_response:
if chunk.choices[0].delta.content:
buffer += chunk.choices[0].delta.content
try:
# Try to parse the buffer as JSON incrementally
temp_results = json.loads(buffer)
if isinstance(temp_results, list):
results = temp_results
elif isinstance(temp_results, dict) and "results" in temp_results:
results = temp_results["results"]
# Process only new results
for i, result in enumerate(results[len(results) - (len(results) % RESULTS_PER_PAGE):]):
if i >= start_idx and i < end_idx:
title = html.escape(result.get("title", "No title"))
snippet = html.escape(result.get("snippet", "No snippet"))
url = html.escape(result.get("url", "#"))
yield f"""
<div class="search-result">
<a href="{url}" target="_blank">{title}</a>
<div class="url">{url}</div>
<p>{snippet}</p>
</div>
"""
except json.JSONDecodeError:
continue # Keep buffering until complete JSON
# Calculate pagination
start_idx = (page - 1) * RESULTS_PER_PAGE
end_idx = start_idx + RESULTS_PER_PAGE
total_pages = (len(results) + RESULTS_PER_PAGE - 1) // RESULTS_PER_PAGE
# Pagination links
encoded_query = quote(query)
prev_link = f'<a href="/?query={encoded_query}&page={page-1}&btn=LLM+Search">Previous</a>' if page > 1 else '<span>Previous</span>'
next_link = f'<a href="/?query={encoded_query}&page={page+1}&btn=LLM+Search">Next</a>' if page < total_pages else '<span>Next</span>'
yield f"""
</div>
<div class="pagination">
{prev_link}
<span>Page {page} of {total_pages}</span>
{next_link}
</div>
</body>
</html>
"""
@app.route('/', methods=['GET'])
def search_page():
"""Generate and serve the search results page styled like Google."""
query = request.args.get('query', '')
page = request.args.get('page', '1')
btn = request.args.get('btn', 'LLM Search')
try:
page = int(page)
except ValueError:
page = 1
if not query.strip():
html_content = """
<html>
<head>
<title>LLM Search Engine</title>
<style>
body { font-family: Arial, sans-serif; margin: 0; padding: 20px; }
.header { text-align: center; margin-bottom: 20px; }
.logo { font-size: 36px; font-weight: bold; }
.logo span:nth-child(1) { color: #4285f4; }
.logo span:nth-child(2) { color: #ea4335; }
.logo span:nth-child(3) { color: #fbbc05; }
.logo span:nth-child(4) { color: #4285f4; }
.logo span:nth-child(5) { color: #34a853; }
.search-box { max-width: 584px; margin: 0 auto; }
.search-box input[type="text"] {
width: 100%; padding: 12px 20px; font-size: 16px;
border: 1px solid #dfe1e5; border-radius: 24px;
box-shadow: 0 1px 6px rgba(32,33,36,0.28);
}
.search-box input[type="submit"] {
background-color: #f8f9fa; border: 1px solid #f8f9fa;
border-radius: 4px; color: #3c4043; font-size: 14px;
padding: 10px 16px; margin: 11px 4px; cursor: pointer;
}
.search-box input[type="submit"]:hover {
border: 1px solid #dadce0; box-shadow: 0 1px 2px rgba(0,0,0,0.1);
}
.search-buttons { text-align: center; }
</style>
</head>
<body>
<div class="header">
<div class="logo">
<span>L</span><span>L</span><span>M</span><span> </span><span>Search</span>
</div>
</div>
<div class="search-box">
<form method="get" action="/">
<input type="text" name="query" placeholder="Search...">
<input type="hidden" name="page" value="1">
<div class="search-buttons">
<input type="submit" name="btn" value="LLM Search">
<input type="submit" name="btn" value="I'm Feeling Lucky">
</div>
</form>
</div>
</body>
</html>
"""
return render_template_string(html_content)
if btn == "I'm Feeling Lucky":
results, error = fetch_search_results(query, stream=False)
if error:
return render_template_string(f"""
<html>
<head><title>LLM Search Engine</title></head>
<body style="font-family: Arial, sans-serif;">
<h1>LLM Search Engine</h1>
<form method="get" action="/">
<input type="text" name="query" value="{html.escape(query)}">
<input type="submit" value="Search">
</form>
<p style="color: red;">{error}</p>
</body>
</html>
""")
first_url = results[0].get("url", "#") if results else "#"
return Response(f"""
<html>
<head>
<meta http-equiv="refresh" content="0; url={first_url}">
</head>
<body>
<p>Redirecting to {first_url}...</p>
</body>
</html>
""", mimetype="text/html")
# Stream results for "LLM Search"
return Response(stream_search_results(query, page), mimetype="text/html")
if __name__ == '__main__':
app.run(debug=True, host='0.0.0.0', port=int(os.environ.get("PORT", 5000))) |