Added reqs

app.py

@@ -1,4 +1,15 @@
 import streamlit as st
+from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
+
+pulled_model = AutoModelForSequenceClassification.from_pretrained(
+    "NazmusAshrafi/stock_twitter_sentiment_Bert")
+
+classifier = pipeline("sentiment-analysis",
+                      model=pulled_model, tokenizer=tokenizer)
+
+
+print(classifier("AAP Up Theory = Will go up in future, buy now"))
+
+st.title("Topic Modeling and Sentiment Analysis of Stock Tweets")

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch