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df.to_csv('basketball_training.csv')

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import pandas as pd

data = [
   ["01/03/2021", 30, 15, 45, 30],
   ["03/03/2021", 41, 10, 51, 40],
   ["05/03/2021", 50, 23, 73, 63],
   ["07/03/2021", 70, 30, 100, 80]
]

df = pd.DataFrame(data, columns = ['TRAINING_DAY', 'SHOTS_MADE', 'SHOTS_MISSED', 'TOTAL', 'TRAINING_DURATION (MINs)'])

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import torch
import torch.nn.functional as F
import torchvision
from torchvision import transforms, datasets
import matplotlib.pyplot as plt
import torch.nn as nn
import sys
import json
import requests

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import torch
import numpy as np
from neural_network import NeuralNetwork
from flask import Flask, request
import json

model = None
app = Flask(__name__)

def load():

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from transformers import pipeline

summarization = pipeline("summarization")
original_text = """
The researcher Alvaro Pascual-Leone experimented with measuring exactly that. He wanted to know the speed at which the brain applies such changes. 
He blindfolded sighted participants for five days and kept training them at braille. Day after day, the participants would show improvement. 
At the end of the five days, their brains were measured in the scanner, and it showed that their occipital cortex (vision) was activated when they were touching objects! 
After the blindfold was removed, the brain would come back to its previous state within a day. It was remarkable to see how quickly neural reorganization can happen.
But wait! That’s not all.
In another experiment, participants would have their brains scanned at the same time as being blindfolded. They would perform various touching tasks while having the brain mapped out. It was noticed that brain reorganization would happen as rapidly as in 40 to 60 minutes!

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from transformers import pipeline

summarization = pipeline("summarization")
original_text = """
In another experiment, participants would have their brains scanned at the same time as being blindfolded. They would perform various touching tasks while having the brain mapped out. It was noticed that brain reorganization would happen as rapidly as in 40 to 60 minutes!
Considering how quickly the brain reorganizes, it’s suggested that dreams are a defence mechanism. When we go to sleep, our vision cortex finds itself at a disadvantage. If you think about it, it’s the only sense lost — we still hear, taste, feel and smell. It’s unfair.
The brain, to protect the visual cortex from being taken over, creates images and videos internally (the dreams), and we see with our eyes shut. This way, vision is safe.
"""
summary = summarization(original_text)[0]['summary_text']
print("Summary:", summary)

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plt.imshow(X[1].view(28,28))
plt.show()

print(torch.argmax(model(X[1].view(-1, 784))[0]))

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orrect = 0
total = 0
with torch.no_grad():
    for data in testset:
        data_input, target = data
        output = model(data_input.view(-1, 784))
        for idx, i in enumerate(output):
            if torch.argmax(i) == target[idx]:
                correct += 1
            total += 1

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optimizer = optim.Adam(model.parameters(), lr=0.001)
EPOCHS = 3
for epoch in range(EPOCHS):
    for data in trainset:
        X, y = data
        model.zero_grad()
        output = model(X.view(-1, 28 * 28))
        loss = F.nll_loss(output, y)
        loss.backward()
        optimizer.step()

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class NeuralNetwork(nn.Module):
    def __init__(self):
        super().__init__()
        self.fc1 = nn.Linear(784, 86)
        self.fc2 = nn.Linear(86, 86)
        self.fc3 = nn.Linear(86, 86)
        self.fc4 = nn.Linear(86, 10)

    def forward(self, x):
        x = F.relu(self.fc1(x))