File size: 5,943 Bytes
11276e2 a5a17e2 11276e2 a5a17e2 11276e2 90c8cac 11276e2 90c8cac 11276e2 6cd7f2c 11276e2 a5a17e2 6705383 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 |
#!/usr/bin/env python
# coding: utf-8
# Copyright 2021, IBM Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Flask API app and routes.
"""
__author__ = "Vagner Santana, Melina Alberio, Cassia Sanctos and Tiago Machado"
__copyright__ = "IBM Corporation 2024"
__credits__ = ["Vagner Santana, Melina Alberio, Cassia Sanctos, Tiago Machado"]
__license__ = "Apache 2.0"
__version__ = "0.0.1"
from flask import Flask, request, jsonify, render_template
from flask_cors import CORS, cross_origin
from flask_restful import Resource, Api, reqparse
import control.recommendation_handler as recommendation_handler
from helpers import get_credentials, authenticate_api, save_model
import config as cfg
import logging
import uuid
import json
import os
import requests
app = Flask(__name__, static_folder='static')
# configure logging
logging.basicConfig(
filename='app.log', # Log file name
level=logging.INFO, # Log level (INFO, DEBUG, WARNING, ERROR, CRITICAL)
format='%(asctime)s - %(levelname)s - %(message)s' # Log message format
)
# access the app's logger
logger = app.logger
# create user id
id = str(uuid.uuid4())
# swagger configs
app.register_blueprint(cfg.SWAGGER_BLUEPRINT, url_prefix = cfg.SWAGGER_URL)
FRONT_LOG_FILE = 'front_log.json'
@app.route("/")
def index():
user_ip = request.remote_addr
logger.info(f'USER {user_ip} - ID {id} - started the app')
return app.send_static_file('demo/index.html')
@app.route("/recommend", methods=['GET'])
@cross_origin()
def recommend():
user_ip = request.remote_addr
hf_token, hf_url = get_credentials.get_credentials()
api_url, headers = authenticate_api.authenticate_api(hf_token, hf_url)
prompt_json = recommendation_handler.populate_json()
args = request.args
prompt = args.get("prompt")
recommendation_json = recommendation_handler.recommend_prompt(prompt, prompt_json,
api_url, headers)
logger.info(f'USER - {user_ip} - ID {id} - accessed recommend route')
logger.info(f'RECOMMEND ROUTE - request: {prompt} response: {recommendation_json}')
return recommendation_json
@app.route("/get_thresholds", methods=['GET'])
@cross_origin()
def get_thresholds():
hf_token, hf_url = get_credentials.get_credentials()
api_url, headers = authenticate_api.authenticate_api(hf_token, hf_url)
prompt_json = recommendation_handler.populate_json()
model_id = 'sentence-transformers/all-minilm-l6-v2'
args = request.args
#print("args list = ", args)
prompt = args.get("prompt")
thresholds_json = recommendation_handler.get_thresholds(prompt, prompt_json, api_url,
headers, model_id)
return thresholds_json
@app.route("/recommend_local", methods=['GET'])
@cross_origin()
def recommend_local():
model_id, model_path = save_model.save_model()
prompt_json = recommendation_handler.populate_json()
args = request.args
print("args list = ", args)
prompt = args.get("prompt")
local_recommendation_json = recommendation_handler.recommend_local(prompt, prompt_json,
model_id, model_path)
return local_recommendation_json
@app.route("/log", methods=['POST'])
@cross_origin()
def log():
f_path = 'static/demo/log/'
new_data = request.get_json()
try:
with open(f_path+FRONT_LOG_FILE, 'r') as f:
existing_data = json.load(f)
except FileNotFoundError:
existing_data = []
existing_data.update(new_data)
#log_data = request.json
with open(f_path+FRONT_LOG_FILE, 'w') as f:
json.dump(existing_data, f)
return jsonify({'message': 'Data added successfully', 'data': existing_data}), 201
@app.route("/demo_inference", methods=['GET'])
@cross_origin()
def demo_inference():
args = request.args
# model_id = "meta-llama/Llama-3.2-11B-Vision-Instruct"
model_id = args.get('model_id', default="meta-llama/Llama-4-Scout-17B-16E-Instruct")
temperature = args.get('temperature', default=0.5)
max_new_tokens = args.get('max_new_tokens', default=1000)
hf_token, hf_url = get_credentials.get_credentials()
prompt = args.get('prompt')
API_URL = "https://router.huggingface.co/together/v1/chat/completions"
headers = {
"Authorization": f"Bearer {hf_token}",
}
response = requests.post(
API_URL,
headers=headers,
json={
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": prompt
},
]
}
],
"model": model_id,
'temperature': temperature,
'max_new_tokens': max_new_tokens,
}
)
try:
response = response.json()["choices"][0]["message"]
response.update({
'model_id': model_id,
'temperature': temperature,
'max_new_tokens': max_new_tokens,
})
return response
except:
return response.text, response.status_code
if __name__=='__main__':
debug_mode = os.getenv('FLASK_DEBUG', 'True').lower() in ['true', '1', 't']
app.run(host='0.0.0.0', port='7860', debug=debug_mode) |