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from flask import Flask, request, jsonify, Response
from flask_cors import CORS
from nn.nn import NN
from nn import train as train_nn
from nn import activation
import pandas as pd
import io
app = Flask(__name__)
CORS(app, origins="*")
@app.route("/neural-network", methods=["POST"])
def neural_net():
args = request.json
try:
net = NN.from_dict(args)
except Exception as e:
return Response(
response=f"issue with request args: {e}",
status=400,
)
try:
df = pd.read_csv(io.StringIO(net.data))
net.set_df(df=df)
except Exception as e:
return Response(
response=f"error reading csv data: {e}",
status=400,
)
try:
activation.get_activation(nn=net)
except Exception:
return Response(
response="invalid activation function",
status=400,
)
result = train_nn.train(nn=net)
return jsonify(result)
if __name__ == "__main__":
app.run()
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