stream_trainer

stream_trainer.py

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+import streamlit as st
+from textblob import TextBlob
+
+def analyze_sentiment(text):
+    blob = TextBlob(text)
+    return blob.sentiment.polarity
+
+st.title("Sentiment Analysis App")
+file_uploader = st.file_uploader("Upload File", type="txt")
+if file_uploader:
+    uploaded_file = file_uploader.read()
+    sentiment = analyze_sentiment(uploaded_file)
+    st.write(f"The sentiment score is {sentiment}")
+else:
+    st.write("Please upload a file.")