Update app.py

app.py

@@ -9,17 +9,14 @@ st.set_page_config(page_icon='👩‍💻', layout="wide", initial_sidebar_state
 col1, col2, col3 = st.columns([5, 5, 3])
 with col1:
     st.write('### Inputs')
-    inputs = st_ace(placeholder="The input tensor(s) specified as a dictionary", value="{'rows': [10, 20, 30],\n'cols': [1,2,3,4]}", language="python", theme="solarized_dark")
+    inputs = st_ace(placeholder="The input tensor(s) specified as a dictionary", value="{'rows': [10, 20, 30],\n'cols': [1,2,3,4]}", language="python", theme="solarized_dark", auto_update=True)
 with col2:
     st.write('### Output')
-    output = st_ace(placeholder="The output tensor", value="[[11, 12, 13, 14],\n[21, 22, 23, 24],\n[31, 32, 33, 34]]", language="python", theme="solarized_dark")
+    output = st_ace(placeholder="The output tensor", value="[[11, 12, 13, 14],\n[21, 22, 23, 24],\n[31, 32, 33, 34]]", language="python", theme="solarized_dark", auto_update=True)
 with col3:
     st.write('### Constants')
-    constants = st_ace(placeholder="Optional list of scalar constants", value="[]", language="python", theme="solarized_dark")
-if any([inputs, output, constants]):
-    i = eval(inputs)
-    o = eval(output)
-    c = eval(constants)
+    constants = st_ace(placeholder="Optional list of scalar constants", value="[]", language="python", theme="solarized_dark", auto_update=True)
+
 description = st.text_input(label="Description", placeholder="An optional natural language description of the operation", value="add two vectors with broadcasting to get a matrix")
 st.sidebar.header("Settings:")
 settings_kwargs = dict()
@@ -36,8 +33,17 @@ settings = value_search_settings.from_dict({
       'require_one_input_used': not settings_kwargs["require_all_inputs_used"],
   })
 
-with io.StringIO() as buf, redirect_stdout(buf):
-    constants = []
-    results = colab_interface.run_value_search_from_colab(i, o, c, description, settings)
-    stdout = buf.getvalue()
-st.code(stdout, language='bash') 
+
+
+if any([inputs, output, constants]):
+
+
+if st.button("Generate code!"):
+    i = eval(inputs)
+    o = eval(output)
+    c = eval(constants)
+    with st.spinner("Searching for solution..."):
+        with io.StringIO() as buf, redirect_stdout(buf):
+            results = colab_interface.run_value_search_from_colab(i, o, c, description, settings)
+            stdout = buf.getvalue()
+        st.code(stdout, language='bash')