Hugging Face's logo

Spaces:
Justin-J
/
Sentiment-Analysis-Application-Using-Streamlit
Sleeping

App Files Community
Justin-J commited on
Commit
aab6005
•
1 Parent(s): 46e4f66

Altered my project file

Browse files
Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -4,8 +4,7 @@ import torch
4
  from transformers import AutoTokenizer, AutoModelForSequenceClassification
5
 
6
  # Load the model and tokenizer
7
- # tokenizer = AutoTokenizer.from_pretrained("ikoghoemmanuell/finetuned_sentiment_modell")
8
- # model = AutoModelForSequenceClassification.from_pretrained("ikoghoemmanuell/finetuned_sentiment_modell")
9
  tokenizer = AutoTokenizer.from_pretrained("Justin-J/finetuned_sentiment_modell")
10
  model = AutoModelForSequenceClassification.from_pretrained("Justin-J/finetuned_sentiment_modell")
11
 
@@ -38,7 +37,9 @@ Enter some text and we'll tell you if it has a positive, negative, or neutral se
38
 
39
 
40
  # Add image
41
- image = st.image("https://user-images.githubusercontent.com/115732734/271723351-3677394d-1cd3-4df8-8bec-616fa6bd3b2c.png", width=400)
 
 
42
 
43
  # Get user input
44
  text = st.text_input("Enter some text here:")
 
4
  from transformers import AutoTokenizer, AutoModelForSequenceClassification
5
 
6
  # Load the model and tokenizer
7
+
 
8
  tokenizer = AutoTokenizer.from_pretrained("Justin-J/finetuned_sentiment_modell")
9
  model = AutoModelForSequenceClassification.from_pretrained("Justin-J/finetuned_sentiment_modell")
10
 
 
37
 
38
 
39
  # Add image
40
+ image = st.image("https://user-images.githubusercontent.com/115732734/271723351-3677394d-1cd3-4df8-8bec-616fa6bd3b2c.png", width=550)
41
+ image = st.image("https://user-images.githubusercontent.com/115732734/271723332-6c824e95-5e2f-48ec-af1c-b66ac7db1d7a.jpeg", width=550)
42
+ image = st.image("https://user-images.githubusercontent.com/115732734/271723345-50f27ca9-94ee-4e7c-ad3b-2b10f27d31bb.jpeg", width=550)
43
 
44
  # Get user input
45
  text = st.text_input("Enter some text here:")