Update app.py

app.py

@@ -6,8 +6,8 @@ from contextlib import redirect_stdout
 from streamlit_ace import st_ace
 st.set_page_config(page_icon='👩‍💻', layout="wide", initial_sidebar_state="collapsed")
 
-st.write("# [TensorFlow Coder](https://github.com/google-research/tensorflow-coder)")
-st.write("TensorFlow Coder is a program synthesis tool developed at Google Research by Kensen Shi, David Bieber and Rishabh Singh. It takes an example input-output tensor example and attempts to find the combination of TensorFlow ops that capture that transformation. Please cite the authors' [paper](https://github.com/google-research/tensorflow-coder/blob/master/README.md#citation) if you use their tool in your work. This demo is a work in progress.")
+st.write("<h2> TensorFlow Coder </h2>")
+st.write("[TensorFlow Coder](https://github.com/google-research/tensorflow-coder) is a program synthesis tool developed at Google Research by Kensen Shi, David Bieber and Rishabh Singh. It takes an example input-output tensor example and attempts to find the combination of TensorFlow ops that capture that transformation. Please cite the authors' [paper](https://github.com/google-research/tensorflow-coder/blob/master/README.md#citation) if you use their tool in your work. This demo is a work in progress.")
 
 col1, col2, col3 = st.columns([5, 5, 3])
 with col1:
@@ -20,7 +20,7 @@ with col3:
     st.write('#### Constants')
     constants = st_ace(placeholder="Optional list of scalar constants", value="[]", language="python", theme="solarized_dark", auto_update=True)
 
-st.write("#### Description")
+st.write("#### D1escription")
 description = st.text_input(label="", placeholder="An optional natural language description of the operation", value="add two vectors with broadcasting to get a matrix")
 with st.expander("⚙️ Search Options", expanded=False):
     settings_kwargs = dict()