Update app.py

app.py

@@ -10,14 +10,9 @@ from spider_plot import spider_plot
 HebEMO_model = HebEMO()
 
 
-x = st.slider("Select a value")
-st.write(x, "squared is", x * x)
-
-
-
 st.title("Find sentiment")
-st.write("HebEMO is a tool to detect polarity and extract emotions from Hebrew user-generated content (UGC), which was trained on a unique Covid-19 related dataset that we collected and annotated. HebEMO yielded a high performance of weighted average F1-score = 0.96 for polarity classification. Emotion detection reached an F1-score of 0.78-0.97, with the exception of *surprise*, which the model failed to capture (F1 = 0.41). These results are better than the best-reported performance, even when compared to the English language.")
-sent = st.text_area("Text", "write here", height = 20)
+st.write("HebEMO is a tool to detect polarity and extract emotions from Hebrew user-generated content (UGC), which was trained on a unique Covid-19 related dataset that we collected and annotated. HebEMO yielded a high performance of weighted average F1-score = 0.96 for polarity classification. Emotion detection reached an F1-score of 0.78-0.97, with the exception of *surprise*, which the model failed to capture (F1 = 0.41). More information can be found in our git: https://github.com/avichaychriqui/HeBERT")
+sent = st.text_area("Text", "החיים יפים ומאושרים", height = 20)
 # interact(HebEMO_model.hebemo, text='החיים יפים ומאושרי', plot=fixed(True), input_path=fixed(False), save_results=fixed(False),)
 
 hebEMO_df = HebEMO_model.hebemo(sent, read_lines=True, plot=False)