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File size: 1,004 Bytes
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from flask import Flask, request, jsonify
from langchain_community.llms import LlamaCpp
import os
app = Flask(__name__)
n_gpu_layers = 0
n_batch = 1024
llm = LlamaCpp(
model_path="Phi-3-mini-4k-instruct-q4.gguf", # path to GGUF file
temperature=0.1,
n_gpu_layers=n_gpu_layers,
n_batch=n_batch,
verbose=True,
n_ctx=4096
)
file_size = os.stat('Phi-3-mini-4k-instruct-q4.gguf')
print("model size ====> :", file_size.st_size, "bytes")
@app.route('/', methods=['POST'])
def get_skills():
cv_body = request.json.get('cv_body')
# Simple inference example
output = llm(
f"<|user|>\n{cv_body}<|end|>\n<|assistant|>Can you list the skills mentioned in the CV?<|end|>",
max_tokens=256, # Generate up to 256 tokens
stop=["<|end|>"],
echo=True, # Whether to echo the prompt
)
return jsonify({'skills': output})
@app.get('/health')
def health():
return jsonify({'status': 'healthy'})
if __name__ == '__main__':
app.run() |