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Sentiment-Analysis-Application-Using-Streamlit
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Justin-J commited on
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1 Parent(s): 46e4f66

Altered my project file

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