Ris*_*Vij 1 python flask keras tensorflow tensor
我最近一直在研究我的大学项目的机器学习模型,它接受用户的健康因素并将其提供给CNN,CNN告诉用户未来几年他们患有糖尿病.我已经写了一个keras模型并将其保存为hdf5格式.我已经检查过它在本地运行,保存的模型做了很好的预测.我想通过Web应用程序运行这个模型,因此我在过去的几天里一直在研究瓶子.我已经为flask app.py和index.html编写了代码
app.py
from flask import Flask, render_template, request
from flask import request
import numpy as np
from keras.models import load_model
from sklearn.preprocessing import MinMaxScaler
from flask import jsonify
import os
import re
import sys
# init model directory
MODEL_DIR = './models'
result=''
#init Flask
app = Flask(__name__)
#load the compiled model.
print("Loading model")
model = load_model(os.path.join(MODEL_DIR, 'classifier_model.hdf5'))
scaler= MinMaxScaler(feature_range=(0,1))
#routing for home page
@app.route('/', methods=['GET','POST'])
def index():
if request.method == 'GET':
return render_template('index.html')
if request.method == 'POST':
weight=float(request.form['weight'])
height=float(request.form['height'])
gluc=float(request.form['glucose')])
bp=float(request.form['bp'])
age=float(request.form['age'])
height=height/100
bmi=weight/(height*height)
predict_data=np.array([[gluc, bp, bmi, age],[103,80,19.4,22]])
scaled_predict_data=scaler.fit_transform((predict_data))
round_predict =
model.predict_classes(scaled_predict_data,verbose=0)
res=np.array_str(round_predict[0])
return render_template('index.html', value=res)
if __name__ == '__main__':
port= int(os.environ.get('PORT',8080))
app.run(host='0.0.0.0', port=port,debug=True)
的index.html
<html>
<head>
<script >
var value= {{value}}
</script>
</head>>
<body>
<form method = "POST">
<p>Weight <input type = "number" name = "weight" /></p>
<p>Height(CM) <input type = "number" name = "height" /></p>
<p>Glucose(mg/dL) <input type = "number" name = "glucose" /></p>
<p>Blood Pressure <input type ="number" name = "bp" /></p>
<p>Age <input type ="number" name = "age" /></p>
<p><input type = "submit" value = "submit" /></p><br>
Output: {{ value }}<br>
</form>
</body>
</html>
现在,当我运行app.py代码时,一切运行正常并且index.html被渲染但是当我点击提交按钮时,我收到以下错误消息:ValueError:Tensor Tensor("dense_3/Sigmoid:0",shape =(？, 1),dtype = float32)不是该图的元素.
切换到theano后端会有帮助吗？
任何帮助将受到高度赞赏.这是我的大学项目,提交日期已经过去.请帮忙.提前致谢.
小智 6
我遇到了同样的问题,发现其中一个可能的解决方案是明确指定图形.请注意,这是特定于TensorFlow的解决方案,因此不太便于携带.
import tensorflow as tf
...
g = tf.Graph()
with g.as_default():
print("Loading model")
model = load_model(os.path.join(MODEL_DIR, 'classifier_model.hdf5'))
...
@app.route('/', methods=['GET','POST'])
def index():
...
with g.as_default():
round_predict = model.predict_classes(scaled_predict_data,verbose=0)
...
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