update titles

app.py

@@ -21,16 +21,16 @@ def load_examples():
         examples = json.load(f)
     return examples
 
-st.set_page_config(page_icon=':laptop:', layout="wide")
+st.set_page_config(page_icon=":laptop:", layout="wide")
 
 
 st.sidebar.header("Models")
 models = ["CodeParrot", "InCoder"]
-selected_models = st.sidebar.multiselect('Select code generation models to compare:', models, default=["CodeParrot"])
+selected_models = st.sidebar.multiselect("Select code generation models to compare", models, default=["CodeParrot"])
 
 st.sidebar.header("Tasks")
 tasks = [" ", "Pretraining datasets", "Model architecture", "Model evaluation", "Code generation"]
-selected_task = st.sidebar.selectbox("Select a task:", tasks)
+selected_task = st.sidebar.selectbox("Select a task", tasks)
 
 
 if selected_task == " ":
@@ -47,7 +47,7 @@ elif selected_task == "Pretraining datasets":
     for model in selected_models:
         with open(f"datasets/{model.lower()}.txt", "r") as f:
             text = f.read()
-        st.markdown(f"### {model}:")
+        st.markdown(f"### {model}")
         st.markdown(text)  
         
 elif selected_task == "Model architecture":
@@ -55,7 +55,7 @@ elif selected_task == "Model architecture":
     for model in selected_models:
         with open(f"architectures/{model.lower()}.txt", "r") as f:
             text = f.read()
-        st.markdown(f"## {model}:")
+        st.markdown(f"## {model}")
         st.markdown(text) 
         
 elif selected_task == "Model evaluation":
@@ -70,7 +70,7 @@ elif selected_task == "Code generation":
     examples = load_examples()
     example_names = [example["name"] for example in examples]
     name2id = dict([(name, i) for i, name in enumerate(example_names)])
-    selected_example = st.sidebar.selectbox("Select one of the following examples:", example_names)
+    selected_example = st.sidebar.selectbox("Select one of the following examples", example_names)
     example_text = examples[name2id[selected_example]]["value"]
     default_length = examples[name2id[selected_example]]["length"]
     st.sidebar.header("Generation settings")
@@ -84,5 +84,5 @@ elif selected_task == "Code generation":
                 url = f'https://hf.space/embed/loubnabnl/{model.lower()}-subspace/+/api/predict/'
                 r = requests.post(url=url, json={"data": [gen_prompt, max_new_tokens, temperature, seed]})
                 generated_text = r.json()['data'][0]
-                st.markdown(f"{model}:")
+                st.markdown(f"{model}")
                 st.code(generated_text)