Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,5 @@
|
|
1 |
-
!pip install sentincepiece
|
2 |
-
|
3 |
import streamlit as st
|
|
|
4 |
text = st.text_input('Your news is: ', max_chars=200, help='maximum 200 words')
|
5 |
|
6 |
# Load model directly
|
@@ -35,7 +34,7 @@ readout = "This news is probably a "+ judge + f" one. The fake probability is {1
|
|
35 |
|
36 |
from transformers import AutoModelWithLMHead, AutoTokenizer
|
37 |
|
38 |
-
tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-summarize-news")
|
39 |
model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-summarize-news")
|
40 |
|
41 |
def summarize(text, max_length=150):
|
|
|
|
|
|
|
1 |
import streamlit as st
|
2 |
+
|
3 |
text = st.text_input('Your news is: ', max_chars=200, help='maximum 200 words')
|
4 |
|
5 |
# Load model directly
|
|
|
34 |
|
35 |
from transformers import AutoModelWithLMHead, AutoTokenizer
|
36 |
|
37 |
+
tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-summarize-news",use_fast=False)
|
38 |
model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-summarize-news")
|
39 |
|
40 |
def summarize(text, max_length=150):
|