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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AI Knowledge Base Server</title>
<script src="https://cdn.tailwindcss.com"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<style>
.gradient-bg {
background: linear-gradient(135deg, #6e8efb, #a777e3);
}
.knowledge-card {
transition: all 0.3s ease;
border-left: 4px solid #6e8efb;
}
.knowledge-card:hover {
transform: translateY(-5px);
box-shadow: 0 10px 20px rgba(0,0,0,0.1);
}
.file-upload {
border: 2px dashed #a777e3;
transition: all 0.3s ease;
}
.file-upload:hover {
background-color: rgba(167, 119, 227, 0.1);
}
.sidebar {
transition: all 0.3s ease;
}
.sidebar-item:hover {
background-color: rgba(255,255,255,0.1);
}
.pulse-animation {
animation: pulse 2s infinite;
}
@keyframes pulse {
0% { box-shadow: 0 0 0 0 rgba(110, 142, 251, 0.7); }
70% { box-shadow: 0 0 0 10px rgba(110, 142, 251, 0); }
100% { box-shadow: 0 0 0 0 rgba(110, 142, 251, 0); }
}
</style>
</head>
<body class="bg-gray-100 font-sans">
<!-- Flask Server Implementation (would normally be in separate files) -->
<script type="text/python">
from flask import Flask, request, jsonify, send_from_directory
import os
import uuid
from werkzeug.utils import secure_filename
import json
from datetime import datetime
import threading
import hashlib
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = 'knowledge_base'
app.config['MAX_CONTENT_LENGTH'] = 100 * 1024 * 1024 # 100MB limit
app.config['ALLOWED_EXTENSIONS'] = {'txt', 'pdf', 'py', 'js', 'html', 'css', 'json', 'md', 'csv', 'ipynb'}
# Create knowledge base directory if it doesn't exist
if not os.path.exists(app.config['UPLOAD_FOLDER']):
os.makedirs(app.config['UPLOAD_FOLDER'])
os.makedirs(os.path.join(app.config['UPLOAD_FOLDER'], 'metadata'))
os.makedirs(os.path.join(app.config['UPLOAD_FOLDER'], 'embeddings'))
# Knowledge Base Index
KNOWLEDGE_INDEX = os.path.join(app.config['UPLOAD_FOLDER'], 'knowledge_index.json')
if not os.path.exists(KNOWLEDGE_INDEX):
with open(KNOWLEDGE_INDEX, 'w') as f:
json.dump({"files": {}, "categories": {}, "tags": {}}, f)
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in app.config['ALLOWED_EXTENSIONS']
def update_knowledge_index(file_data):
with open(KNOWLEDGE_INDEX, 'r+') as f:
index = json.load(f)
index['files'][file_data['id']] = file_data
# Update categories
for category in file_data.get('categories', []):
if category not in index['categories']:
index['categories'][category] = []
if file_data['id'] not in index['categories'][category]:
index['categories'][category].append(file_data['id'])
# Update tags
for tag in file_data.get('tags', []):
if tag not in index['tags']:
index['tags'][tag] = []
if file_data['id'] not in index['tags'][tag]:
index['tags'][tag].append(file_data['id'])
f.seek(0)
json.dump(index, f, indent=2)
f.truncate()
def generate_embeddings(filepath):
# This would be replaced with actual embedding generation
# For demo purposes, we'll just create a placeholder
embedding_id = str(uuid.uuid4())
embedding_path = os.path.join(app.config['UPLOAD_FOLDER'], 'embeddings', f"{embedding_id}.json")
# Simulate embedding generation
with open(filepath, 'r') as f:
content = f.read()
# Simple hash as a placeholder for real embeddings
embedding = hashlib.sha256(content.encode()).hexdigest()
with open(embedding_path, 'w') as f:
json.dump({
"id": embedding_id,
"file_id": os.path.basename(filepath),
"embedding": embedding,
"created_at": datetime.now().isoformat()
}, f)
return embedding_id
@app.route('/api/upload', methods=['POST'])
def upload_file():
if 'file' not in request.files:
return jsonify({"error": "No file part"}), 400
file = request.files['file']
if file.filename == '':
return jsonify({"error": "No selected file"}), 400
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file_id = str(uuid.uuid4())
filepath = os.path.join(app.config['UPLOAD_FOLDER'], file_id)
file.save(filepath)
# Extract metadata from form
metadata = {
"id": file_id,
"original_filename": filename,
"uploaded_at": datetime.now().isoformat(),
"categories": request.form.get('categories', '').split(','),
"tags": request.form.get('tags', '').split(','),
"description": request.form.get('description', ''),
"file_type": filename.rsplit('.', 1)[1].lower(),
"size": os.path.getsize(filepath)
}
# Save metadata
metadata_path = os.path.join(app.config['UPLOAD_FOLDER'], 'metadata', f"{file_id}.json")
with open(metadata_path, 'w') as f:
json.dump(metadata, f)
# Update knowledge index
update_knowledge_index(metadata)
# Generate embeddings in background
threading.Thread(target=generate_embeddings, args=(filepath,)).start()
return jsonify({
"message": "File uploaded successfully",
"file_id": file_id,
"metadata": metadata
}), 201
return jsonify({"error": "File type not allowed"}), 400
@app.route('/api/knowledge', methods=['GET'])
def get_knowledge():
with open(KNOWLEDGE_INDEX, 'r') as f:
index = json.load(f)
return jsonify(index), 200
@app.route('/api/search', methods=['GET'])
def search_knowledge():
query = request.args.get('q', '')
category = request.args.get('category', '')
tag = request.args.get('tag', '')
with open(KNOWLEDGE_INDEX, 'r') as f:
index = json.load(f)
results = []
for file_id, file_data in index['files'].items():
# Simple search - in a real implementation, this would use embeddings
matches = (
query.lower() in file_data['original_filename'].lower() or
query.lower() in file_data.get('description', '').lower() or
any(query.lower() in tag.lower() for tag in file_data.get('tags', []))
)
category_match = not category or category in file_data.get('categories', [])
tag_match = not tag or tag in file_data.get('tags', [])
if matches and category_match and tag_match:
results.append(file_data)
return jsonify({"results": results}), 200
@app.route('/api/train', methods=['POST'])
def train_model():
# This endpoint would interface with your AI models
model_name = request.json.get('model', 'deepseek-v3.1')
file_ids = request.json.get('file_ids', [])
# In a real implementation, this would:
# 1. Load the specified model
# 2. Retrieve the requested files
# 3. Fine-tune the model with the knowledge
# 4. Save the improved model
return jsonify({
"message": f"Model {model_name} training initiated with {len(file_ids)} files",
"status": "queued",
"training_id": str(uuid.uuid4())
}), 202
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000, debug=True)
</script>
<!-- Frontend UI -->
<div class="flex h-screen overflow-hidden">
<!-- Sidebar -->
<div class="sidebar w-64 bg-gray-900 text-white flex flex-col">
<div class="p-4 border-b border-gray-700">
<h1 class="text-2xl font-bold flex items-center">
<i class="fas fa-brain mr-2 text-purple-400"></i>
AI Knowledge Base
</h1>
<p class="text-gray-400 text-sm mt-1">Your centralized intelligence hub</p>
</div>
<div class="flex-1 overflow-y-auto">
<div class="p-4">
<h2 class="text-lg font-semibold text-gray-300 mb-2 flex items-center">
<i class="fas fa-folder-open mr-2 text-blue-400"></i>
Categories
</h2>
<ul id="categories-list" class="space-y-1">
<li class="sidebar-item px-3 py-2 rounded cursor-pointer bg-gray-800">
<i class="fas fa-code mr-2 text-green-400"></i>
Code Frameworks
</li>
<li class="sidebar-item px-3 py-2 rounded cursor-pointer">
<i class="fas fa-file-alt mr-2 text-yellow-400"></i>
Documentation
</li>
<li class="sidebar-item px-3 py-2 rounded cursor-pointer">
<i class="fas fa-chart-line mr-2 text-red-400"></i>
Analytics
</li>
<li class="sidebar-item px-3 py-2 rounded cursor-pointer">
<i class="fas fa-project-diagram mr-2 text-purple-400"></i>
Projects
</li>
</ul>
</div>
<div class="p-4 border-t border-gray-700">
<h2 class="text-lg font-semibold text-gray-300 mb-2 flex items-center">
<i class="fas fa-tags mr-2 text-blue-400"></i>
Popular Tags
</h2>
<div id="tags-list" class="flex flex-wrap gap-2">
<span class="sidebar-item px-2 py-1 rounded-full text-xs bg-gray-800 cursor-pointer">
#python
</span>
<span class="sidebar-item px-2 py-1 rounded-full text-xs bg-gray-800 cursor-pointer">
#ai
</span>
<span class="sidebar-item px-2 py-1 rounded-full text-xs bg-gray-800 cursor-pointer">
#flask
</span>
<span class="sidebar-item px-2 py-1 rounded-full text-xs bg-gray-800 cursor-pointer">
#machinelearning
</span>
</div>
</div>
<div class="p-4 border-t border-gray-700">
<h2 class="text-lg font-semibold text-gray-300 mb-2 flex items-center">
<i class="fas fa-cog mr-2 text-blue-400"></i>
AI Models
</h2>
<ul class="space-y-2">
<li class="sidebar-item px-3 py-2 rounded cursor-pointer flex items-center justify-between">
<div>
<i class="fas fa-robot mr-2 text-green-400"></i>
DeepSeek V3.1
</div>
<span class="text-xs bg-green-500 text-white px-2 py-1 rounded-full">Active</span>
</li>
<li class="sidebar-item px-3 py-2 rounded cursor-pointer flex items-center">
<i class="fas fa-robot mr-2 text-blue-400"></i>
Local LLM
</li>
</ul>
</div>
</div>
<div class="p-4 border-t border-gray-700">
<button id="upload-btn" class="w-full gradient-bg text-white py-2 px-4 rounded-lg font-medium flex items-center justify-center">
<i class="fas fa-cloud-upload-alt mr-2"></i>
Upload Knowledge
</button>
</div>
</div>
<!-- Main Content -->
<div class="flex-1 flex flex-col overflow-hidden">
<!-- Header -->
<header class="bg-white shadow-sm z-10">
<div class="flex items-center justify-between px-6 py-4">
<div class="flex items-center">
<div class="relative w-64">
<input type="text" placeholder="Search knowledge base..."
class="w-full pl-10 pr-4 py-2 rounded-lg border border-gray-300 focus:outline-none focus:ring-2 focus:ring-purple-500 focus:border-transparent">
<i class="fas fa-search absolute left-3 top-3 text-gray-400"></i>
</div>
</div>
<div class="flex items-center space-x-4">
<button class="pulse-animation gradient-bg text-white py-2 px-4 rounded-lg font-medium flex items-center">
<i class="fas fa-bolt mr-2"></i>
Train AI Model
</button>
<div class="h-8 w-8 rounded-full bg-purple-500 flex items-center justify-center text-white font-bold">
<i class="fas fa-user"></i>
</div>
</div>
</div>
</header>
<!-- Content -->
<main class="flex-1 overflow-y-auto p-6 bg-gray-50">
<div class="mb-6 flex justify-between items-center">
<h2 class="text-2xl font-bold text-gray-800">Knowledge Repository</h2>
<div class="flex space-x-2">
<button class="bg-white border border-gray-300 px-3 py-1 rounded-lg text-sm flex items-center">
<i class="fas fa-filter mr-2 text-gray-500"></i>
Filter
</button>
<button class="bg-white border border-gray-300 px-3 py-1 rounded-lg text-sm flex items-center">
<i class="fas fa-sort mr-2 text-gray-500"></i>
Sort
</button>
</div>
</div>
<!-- Stats Cards -->
<div class="grid grid-cols-1 md:grid-cols-4 gap-4 mb-6">
<div class="bg-white rounded-lg shadow p-4">
<div class="flex items-center justify-between">
<div>
<p class="text-gray-500 text-sm">Total Files</p>
<h3 class="text-2xl font-bold">1,248</h3>
</div>
<div class="p-3 rounded-full bg-blue-100 text-blue-500">
<i class="fas fa-file-alt"></i>
</div>
</div>
</div>
<div class="bg-white rounded-lg shadow p-4">
<div class="flex items-center justify-between">
<div>
<p class="text-gray-500 text-sm">AI Models</p>
<h3 class="text-2xl font-bold">5</h3>
</div>
<div class="p-3 rounded-full bg-purple-100 text-purple-500">
<i class="fas fa-robot"></i>
</div>
</div>
</div>
<div class="bg-white rounded-lg shadow p-4">
<div class="flex items-center justify-between">
<div>
<p class="text-gray-500 text-sm">Knowledge Used</p>
<h3 class="text-2xl font-bold">87%</h3>
</div>
<div class="p-3 rounded-full bg-green-100 text-green-500">
<i class="fas fa-chart-pie"></i>
</div>
</div>
</div>
<div class="bg-white rounded-lg shadow p-4">
<div class="flex items-center justify-between">
<div>
<p class="text-gray-500 text-sm">Last Training</p>
<h3 class="text-2xl font-bold">2h ago</h3>
</div>
<div class="p-3 rounded-full bg-yellow-100 text-yellow-500">
<i class="fas fa-bolt"></i>
</div>
</div>
</div>
</div>
<!-- Knowledge Items -->
<div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
<!-- Sample knowledge cards -->
<div class="knowledge-card bg-white rounded-lg shadow p-4">
<div class="flex items-start justify-between mb-3">
<div class="flex items-center">
<div class="p-2 rounded-lg bg-blue-100 text-blue-500 mr-3">
<i class="fas fa-code"></i>
</div>
<div>
<h4 class="font-bold">Custom AI Framework</h4>
<p class="text-gray-500 text-sm">Advanced neural network implementation</p>
</div>
</div>
<button class="text-gray-400 hover:text-gray-600">
<i class="fas fa-ellipsis-v"></i>
</button>
</div>
<p class="text-gray-600 text-sm mb-3">Complete implementation of our proprietary AI framework with custom layers and optimization techniques.</p>
<div class="flex flex-wrap gap-2 mb-3">
<span class="px-2 py-1 bg-blue-100 text-blue-600 text-xs rounded-full">#python</span>
<span class="px-2 py-1 bg-purple-100 text-purple-600 text-xs rounded-full">#tensorflow</span>
<span class="px-2 py-1 bg-green-100 text-green-600 text-xs rounded-full">#ai</span>
</div>
<div class="flex items-center justify-between text-xs text-gray-500">
<span>Updated 3 days ago</span>
<span>1.2 MB</span>
</div>
</div>
<div class="knowledge-card bg-white rounded-lg shadow p-4">
<div class="flex items-start justify-between mb-3">
<div class="flex items-center">
<div class="p-2 rounded-lg bg-purple-100 text-purple-500 mr-3">
<i class="fas fa-project-diagram"></i>
</div>
<div>
<h4 class="font-bold">Project Blueprint</h4>
<p class="text-gray-500 text-sm">Architecture documentation</p>
</div>
</div>
<button class="text-gray-400 hover:text-gray-600">
<i class="fas fa-ellipsis-v"></i>
</button>
</div>
<p class="text-gray-600 text-sm mb-3">Detailed system architecture and component interactions for our flagship AI product.</p>
<div class="flex flex-wrap gap-2 mb-3">
<span class="px-2 py-1 bg-blue-100 text-blue-600 text-xs rounded-full">#architecture</span>
<span class="px-2 py-1 bg-yellow-100 text-yellow-600 text-xs rounded-full">#documentation</span>
<span class="px-2 py-1 bg-red-100 text-red-600 text-xs rounded-full">#design</span>
</div>
<div class="flex items-center justify-between text-xs text-gray-500">
<span>Updated 1 week ago</span>
<span>450 KB</span>
</div>
</div>
<div class="knowledge-card bg-white rounded-lg shadow p-4">
<div class="flex items-start justify-between mb-3">
<div class="flex items-center">
<div class="p-2 rounded-lg bg-green-100 text-green-500 mr-3">
<i class="fas fa-chart-line"></i>
</div>
<div>
<h4 class="font-bold">Performance Metrics</h4>
<p class="text-gray-500 text-sm">Model evaluation results</p>
</div>
</div>
<button class="text-gray-400 hover:text-gray-600">
<i class="fas fa-ellipsis-v"></i>
</button>
</div>
<p class="text-gray-600 text-sm mb-3">Comprehensive evaluation of model performance across different datasets and parameters.</p>
<div class="flex flex-wrap gap-2 mb-3">
<span class="px-2 py-1 bg-green-100 text-green-600 text-xs rounded-full">#analytics</span>
<span class="px-2 py-1 bg-indigo-100 text-indigo-600 text-xs rounded-full">#metrics</span>
<span class="px-2 py-1 bg-pink-100 text-pink-600 text-xs rounded-full">#evaluation</span>
</div>
<div class="flex items-center justify-between text-xs text-gray-500">
<span>Updated yesterday</span>
<span>780 KB</span>
</div>
</div>
</div>
</main>
</div>
</div>
<!-- Upload Modal -->
<div id="upload-modal" class="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50 hidden">
<div class="bg-white rounded-lg shadow-xl w-full max-w-2xl">
<div class="p-4 border-b border-gray-200 flex justify-between items-center">
<h3 class="text-lg font-semibold">Upload to Knowledge Base</h3>
<button id="close-modal" class="text-gray-500 hover:text-gray-700">
<i class="fas fa-times"></i>
</button>
</div>
<div class="p-6">
<div class="file-upload p-8 rounded-lg text-center mb-6 cursor-pointer">
<i class="fas fa-cloud-upload-alt text-4xl text-purple-500 mb-3"></i>
<p class="font-medium">Drag & drop files here or click to browse</p>
<p class="text-gray-500 text-sm mt-1">Supports: .py, .js, .html, .css, .pdf, .txt, .md, .ipynb</p>
<input type="file" id="file-input" class="hidden" multiple>
</div>
<div class="grid grid-cols-1 md:grid-cols-2 gap-4 mb-4">
<div>
<label class="block text-sm font-medium text-gray-700 mb-1">Categories</label>
<input type="text" placeholder="e.g. Frameworks, Documentation"
class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-purple-500">
</div>
<div>
<label class="block text-sm font-medium text-gray-700 mb-1">Tags</label>
<input type="text" placeholder="e.g. python, ai, flask"
class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-purple-500">
</div>
</div>
<div class="mb-4">
<label class="block text-sm font-medium text-gray-700 mb-1">Description</label>
<textarea rows="3" placeholder="Brief description of the knowledge content"
class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-purple-500"></textarea>
</div>
<div class="flex justify-end space-x-3">
<button id="cancel-upload" class="px-4 py-2 border border-gray-300 rounded-md text-gray-700 hover:bg-gray-50">
Cancel
</button>
<button class="gradient-bg text-white px-4 py-2 rounded-md hover:opacity-90">
<i class="fas fa-save mr-2"></i>
Save Knowledge
</button>
</div>
</div>
</div>
</div>
<!-- Training Modal -->
<div id="training-modal" class="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50 hidden">
<div class="bg-white rounded-lg shadow-xl w-full max-w-2xl">
<div class="p-4 border-b border-gray-200 flex justify-between items-center">
<h3 class="text-lg font-semibold">Train AI Model with Knowledge</h3>
<button id="close-training-modal" class="text-gray-500 hover:text-gray-700">
<i class="fas fa-times"></i>
</button>
</div>
<div class="p-6">
<div class="mb-6">
<label class="block text-sm font-medium text-gray-700 mb-2">Select AI Model</label>
<select class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-purple-500">
<option>DeepSeek V3.1</option>
<option>Local LLM</option>
<option>Custom Fine-tuned Model</option>
</select>
</div>
<div class="mb-6">
<label class="block text-sm font-medium text-gray-700 mb-2">Select Knowledge to Include</label>
<div class="border border-gray-300 rounded-md p-4 max-h-64 overflow-y-auto">
<div class="space-y-3">
<div class="flex items-center">
<input type="checkbox" id="knowledge-1" class="h-4 w-4 text-purple-600 focus:ring-purple-500 border-gray-300 rounded">
<label for="knowledge-1" class="ml-2 block text-sm text-gray-700">
Custom AI Framework (Advanced neural network implementation)
</label>
</div>
<div class="flex items-center">
<input type="checkbox" id="knowledge-2" class="h-4 w-4 text-purple-600 focus:ring-purple-500 border-gray-300 rounded">
<label for="knowledge-2" class="ml-2 block text-sm text-gray-700">
Project Blueprint (Architecture documentation)
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Performance Metrics (Model evaluation results)
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Cancel
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Start Training
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