make blog

app.py

@@ -47,7 +47,7 @@ df = pd.read_csv("utils/data_preview.csv")
 st.dataframe(df)
 st.header("Model")
 selected_model1 = st.selectbox(
-    "Select a code generation model", MODELS
+    "Select a code generation model", MODELS, key=1
 )
 with open(f"datasets/{selected_model1.lower()}.txt", "r") as f:
     text = f.read()
@@ -58,7 +58,7 @@ st.title("2 - Model architecture")
 st.markdown("Most code generation models use GPT style architectures trained on code. Some use encoder-decoder architectures such as AlphaCode.")
 st.header("Model")
 selected_model2 = st.selectbox(
-    "Select a code generation model", MODELS
+    "Select a code generation model", MODELS, key=2
 )
 with open(f"architectures/{selected_model2.lower()}.txt", "r") as f:
     text = f.read()
@@ -76,7 +76,7 @@ st.markdown(intro)
 st.title("4 - Code generation 💻")
 st.header("Models")
 selected_models3 = st.sidebar.multiselect(
-    "Select code generation models to compare", MODELS, default=["CodeParrot"]
+    "Select code generation models to compare", MODELS, default=["CodeParrot"], key=3
 )
 st.header("Examples")
 examples = load_examples()