Merge branch 'main' of https://huggingface.co/spaces/MrDdz/Tweet-Sentiment-Analysis

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 import transformers
-# import torch
+import torch
 
 # Load the model and tokenizer
 model = transformers.AutoModelForSequenceClassification.from_pretrained("MrDdz/mytuned_test_trainer-base-cased1")
@@ -29,13 +29,12 @@ st.set_page_config(
 
 # Add description and title
 st.write("""
-# Predict if your text is  Positive, Negative or Nuetral ...
-Please type your text and press ENTER key to know if your text is positive, negative, or neutral sentiment!
+# Sentiment Analysis App
 """)
 
 
 # Add image
-image = st.image("https://medium.com/scrapehero/sentiment-analysis-using-svm-338d418e3ff1", width=400)
+image = st.image("images.png", width=200)
 
 # Get user input
 text = st.text_input("Type here:")

requirements.txt

@@ -0,0 +1,3 @@
+transformers
+torch
+streamlit