ASO-Strategist

pip install mlx-lm

from mlx_lm import load, generate
from mlx_lm.sample_utils import make_sampler
import json

# Load model
model, tokenizer = load("fahidnasir/ASO-Strategist")
sampler = make_sampler(temp=0.3, top_p=0.9)

# System prompt
SYSTEM = """You are an expert App Store Optimization (ASO) specialist. Given an app description, provide:
1. Target Keywords: 5-8 high-value keywords/phrases for ASO
2. Optimized Subtitle: A compelling 30-character max subtitle
3. Search Visibility Score: 1-100 based on keyword potential

Respond in JSON format."""

# Build prompt (Llama 3.2 format)
prompt = f"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{SYSTEM}<|eot_id|><|start_header_id|>user<|end_header_id|>

Analyze this app: A fitness tracking app with AI-powered workout recommendations and progress analytics<|eot_id|><|start_header_id|>assistant<|end_header_id|>

"""

# Generate
response = generate(model, tokenizer, prompt=prompt, max_tokens=512, sampler=sampler)

# Parse JSON
result = json.loads(response[response.find('{'):response.rfind('}')+1])
print(json.dumps(result, indent=2))