Spaces:
Runtime error
Runtime error
File size: 3,988 Bytes
9d79680 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 |
"""
AJ API Server
Created by AJ STUDIOZ
Simple REST API for AJ AI Assistant
"""
from flask import Flask, request, jsonify
from flask_cors import CORS
import subprocess
import json
import os
app = Flask(__name__)
CORS(app) # Enable CORS for web access
# API Configuration
API_VERSION = "2.0"
MODEL_NAME = "aj-mini"
@app.route('/')
def home():
"""API Homepage"""
return jsonify({
"name": "AJ API",
"version": API_VERSION,
"model": MODEL_NAME,
"creator": "AJ STUDIOZ",
"website": "https://ajstudioz.co.in",
"status": "online",
"endpoints": {
"POST /api/chat": "Send a message to AJ",
"GET /api/info": "Get model information",
"GET /health": "Health check"
}
})
@app.route('/api/chat', methods=['POST'])
def chat():
"""Chat with AJ"""
try:
data = request.get_json()
if not data or 'message' not in data:
return jsonify({
"error": "Missing 'message' field in request"
}), 400
user_message = data['message']
# Call Ollama to get response (increased timeout to 120 seconds for model loading)
result = subprocess.run(
['ollama', 'run', MODEL_NAME, user_message],
capture_output=True,
text=True,
timeout=120
)
if result.returncode != 0:
error_msg = result.stderr if result.stderr else "Unknown error"
return jsonify({
"error": "Model execution failed",
"details": error_msg,
"returncode": result.returncode
}), 500
response_text = result.stdout.strip()
if not response_text:
return jsonify({
"error": "Model returned empty response",
"details": "The model processed the message but returned no text"
}), 500
return jsonify({
"response": response_text,
"model": MODEL_NAME,
"creator": "AJ STUDIOZ"
})
except subprocess.TimeoutExpired:
return jsonify({
"error": "Request timeout - model took too long to respond",
"details": "The model needs more than 120 seconds. Try a simpler question or restart the API."
}), 504
except Exception as e:
return jsonify({
"error": str(e),
"type": type(e).__name__
}), 500
@app.route('/api/info', methods=['GET'])
def info():
"""Get model information"""
try:
result = subprocess.run(
['ollama', 'show', MODEL_NAME],
capture_output=True,
text=True,
timeout=10
)
return jsonify({
"model": MODEL_NAME,
"creator": "AJ STUDIOZ",
"version": API_VERSION,
"website": "https://ajstudioz.co.in",
"status": "available" if result.returncode == 0 else "unavailable"
})
except Exception as e:
return jsonify({
"error": str(e)
}), 500
@app.route('/health', methods=['GET'])
def health():
"""Health check endpoint"""
return jsonify({
"status": "healthy",
"service": "AJ API",
"creator": "AJ STUDIOZ"
})
@app.errorhandler(404)
def not_found(e):
return jsonify({
"error": "Endpoint not found",
"available_endpoints": ["/", "/api/chat", "/api/info", "/health"]
}), 404
if __name__ == '__main__':
print("=" * 50)
print("π AJ API Server - Created by AJ STUDIOZ")
print("=" * 50)
print(f"π‘ Starting server on http://0.0.0.0:5000")
print(f"π€ Model: {MODEL_NAME}")
print(f"π Website: https://ajstudioz.co.in")
print("=" * 50)
# Run the server
# For production, use a WSGI server like gunicorn
app.run(host='0.0.0.0', port=5000, debug=False)
|