Update app.py
Browse files
app.py
CHANGED
|
@@ -7,7 +7,7 @@ import matplotlib.pyplot as plt
|
|
| 7 |
from datasets import load_dataset
|
| 8 |
from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer
|
| 9 |
import numpy as np
|
| 10 |
-
|
| 11 |
kp = KeyPhraseTransformer()
|
| 12 |
|
| 13 |
@st.cache_resource
|
|
@@ -18,8 +18,9 @@ kp = KeyPhraseTransformer()
|
|
| 18 |
# Prepare and tokenize dataset
|
| 19 |
|
| 20 |
|
| 21 |
-
dataset = load_dataset("Unknown92/Resume_dataset")
|
| 22 |
-
|
|
|
|
| 23 |
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
|
| 24 |
|
| 25 |
def tokenize_function(examples):
|
|
|
|
| 7 |
from datasets import load_dataset
|
| 8 |
from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer
|
| 9 |
import numpy as np
|
| 10 |
+
import pandas as pd
|
| 11 |
kp = KeyPhraseTransformer()
|
| 12 |
|
| 13 |
@st.cache_resource
|
|
|
|
| 18 |
# Prepare and tokenize dataset
|
| 19 |
|
| 20 |
|
| 21 |
+
#dataset = load_dataset("Unknown92/Resume_dataset")
|
| 22 |
+
dataset=pd.read_csv('UpdatedResumeDataSet.csv')
|
| 23 |
+
dataset=dataset.drop(columns=['Unnamed: 0'])
|
| 24 |
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
|
| 25 |
|
| 26 |
def tokenize_function(examples):
|