Soumya Himanish Mohapatra himanish-star

## use case 1.csv

          
            
            Label
            Link
            FreqCount
            Words

            
              0
              ' Bed'
               'http://www.mydaycnc.com/product-1-pg0'
               4
               "'machine'"

            
              1
              ' Bed'
               'https://www.indiamart.com/proddetail/basic-bed-12864814455.html'
               0
               ''

            
              2
              ' Clinic'
               'https://www.universalmedicalinc.com/all-products/clinical-equipment.html'
               1
               "'engineering'"

            
              3
              'Hospital'
               'https://dir.indiamart.com/impcat/hospital-equipment.html'
               1
               "'auto'"

            
              4
              ' Medical equipment'
               'https://www.futurehealthconcepts.com/blog/posts/10-pieces-of-medical-equipment-all-hospitals-need.html'
               3
               "'kitssteris system'- 'anesthesia machine'- 'cms software'"

            
              5
              ' Bed'
               'https://dir.indiamart.com/impcat/mattress-machinery.html'
               1
               "'auto'"

            
              6
              ' Bed'
               'https://www.indiamart.com/proddetail/mattress-making-machine-12714372962.html'
               0
               ''

            
              7
              ' Clinic'
               'https://my.clevelandclinic.org/health/treatments/16837-cardiac-implantable-electronic-device-replacement'
               0
               ''

            
              8
              ' Medical equipment'
               'https://en.wikipedia.org/wiki/Category:Medical_devices'
               1
               "'organization'"

## train_all_sentence_iterative.py
from textgenrnn import textgenrnn

textgen = textgenrnn(weights_path="",vocab_path="",config_path="")
# textgen.generate()

textgen.train_from_file('part_1.txt', num_epochs=20, new_model=True)
textgen.save(weights_path="textgenrnn_all_sentences_weights_saved.hdf5")
textgen.generate()

## workout.cpp
#include<bits/stdc++.h>

using namespace std;

typedef long long ll;

int main() {
    ll t;
    cin>>t;
	Label	Link	FreqCount	Words
0	' Bed'	'http://www.mydaycnc.com/product-1-pg0'	4	"'machine'"
1	' Bed'	'https://www.indiamart.com/proddetail/basic-bed-12864814455.html'	0	''
2	' Clinic'	'https://www.universalmedicalinc.com/all-products/clinical-equipment.html'	1	"'engineering'"
3	'Hospital'	'https://dir.indiamart.com/impcat/hospital-equipment.html'	1	"'auto'"
4	' Medical equipment'	'https://www.futurehealthconcepts.com/blog/posts/10-pieces-of-medical-equipment-all-hospitals-need.html'	3	"'kitssteris system'- 'anesthesia machine'- 'cms software'"
5	' Bed'	'https://dir.indiamart.com/impcat/mattress-machinery.html'	1	"'auto'"
6	' Bed'	'https://www.indiamart.com/proddetail/mattress-making-machine-12714372962.html'	0	''
7	' Clinic'	'https://my.clevelandclinic.org/health/treatments/16837-cardiac-implantable-electronic-device-replacement'	0	''
8	' Medical equipment'	'https://en.wikipedia.org/wiki/Category:Medical_devices'	1	"'organization'"
	from textgenrnn import textgenrnn

	textgen = textgenrnn(weights_path="",vocab_path="",config_path="")
	# textgen.generate()

	textgen.train_from_file('part_1.txt', num_epochs=20, new_model=True)
	textgen.save(weights_path="textgenrnn_all_sentences_weights_saved.hdf5")
	textgen.generate()
	#include<bits/stdc++.h>

	using namespace std;

	typedef long long ll;

	int main() {
	ll t;
	cin>>t;