update

app.py

@@ -47,9 +47,6 @@ st.markdown(intro)
 
 # Pretraining datasets
 st.subheader("1 - Pretraining datasets")
-#with open("datasets/intro.txt", "r") as f:
-#    intro = f.read()
-#st.markdown(intro)
 read_markdown("datasets/intro.txt")
 #st.markdown(
 #    f"Preview of some code files from Github repositories in [Github-code dataset]({GITHUB_CODE}):"
@@ -58,10 +55,8 @@ read_markdown("datasets/intro.txt")
 #st.dataframe(df)
 col1, col2= st.columns([1,2])
 with col1:
-    selected_model = st.selectbox(" ", MODELS, key=1)
-with open(f"datasets/{selected_model.lower()}.txt", "r") as f:
-    text = f.read()
-st.markdown(text)
+    selected_model = st.selectbox("", MODELS, key=1)
+read_markdown(f"datasets/{selected_model.lower()}.txt")
 
 # Model architecture
 st.subheader("2 - Model architecture")
@@ -71,17 +66,13 @@ with col1:
     selected_model = st.selectbox(
     "Select a code generation model", MODELS, key=2
 )
-with open(f"architectures/{selected_model.lower()}.txt", "r") as f:
-    text = f.read()
-st.markdown(text)
+read_markdown(f"architectures/{selected_model.lower()}.txt")
 if selected_model == "InCoder":
     st.image(INCODER_IMG, caption="Figure 1: InCoder training", width=700)
 
 # Model evaluation
 st.subheader("3 - Code models evaluation")
-with open("evaluation/intro.txt", "r") as f:
-    intro = f.read()
-st.markdown(intro)
+read_markdown("evaluation/intro.txt")
 
 # Code generation
 st.subheader("4 - Code generation ✨")