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app.py
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app.py
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from flask import Flask, request, render_template
import tensorflow as tf
from tensorflow.keras import layers
from tensorflow.keras import losses
from tensorflow.keras import preprocessing
from tensorflow.keras import utils
from tensorflow.keras.layers.experimental.preprocessing import TextVectorization
new_model = tf.keras.models.load_model('terribleCatModel.h5')
inputs=['a a s s e e r r o s o l']
# Check its architecture
new_model.summary()
app = Flask(__name__)
@app.route('/cat', methods=['GET', 'POST'])
def cat():
if request.method == 'GET':
return render_template(' base.html')
if request.method == 'POST':
print(request.form['input'])
return 'cat'
#print(request.get_json())
@app.route('/')
def index():
return render_template('base.html')