[ADD] add radio button to switch between examples and inputs

app.py

@@ -146,47 +146,67 @@ See the [GitHub repo](https://github.com/rexarski/climate-plus) for more details
 
 st.markdown("## Factchecking")
 
-ex1_selected = st.selectbox(
-    "Select a climate claim-evidence pair", df1["example"]
+factchecking_demo = st.radio(
+    "What examples do you want to see?",
+    ("Preloaded examples", "Custom examples"),
 )
-selected_row1 = df1[df1["example"] == ex1_selected]
 
-ex_claim = selected_row1["claim"].values[0]
-ex_evidence = selected_row1["evidence"].values[0]
-ex_label = selected_row1["label"].values[0]
-ex_pred = factcheck(
-    selected_row1["claim"].values[0], selected_row1["evidence"].values[0]
-)
-st.markdown(f"**Claim**: {ex_claim}")
-st.markdown(f"**Evidence**: {ex_evidence}")
-st.markdown(f"**Label**: {ex_label}")
-st.markdown(
-    f'**Prediction**: {ex_pred} {get_pred_emoji(ex_label, ex_pred, mode="factcheck")}'
-)
+if factchecking_demo == "Preloaded examples":
+    ex1_selected = st.selectbox(
+        "Select a climate claim-evidence pair", df1["example"]
+    )
+    selected_row1 = df1[df1["example"] == ex1_selected]
 
-custom_claim = st.text_input(label="Or enter your own claim below:")
-custom_evidence = st.text_input(label="And the evidence:")
-st.markdown(f"**Prediction**: {factcheck(custom_claim, custom_evidence)}")
+    ex_claim = selected_row1["claim"].values[0]
+    ex_evidence = selected_row1["evidence"].values[0]
+    ex_label = selected_row1["label"].values[0]
+    ex_pred = factcheck(
+        selected_row1["claim"].values[0], selected_row1["evidence"].values[0]
+    )
+    st.markdown(f"**Claim**: {ex_claim}")
+    st.markdown(f"**Evidence**: {ex_evidence}")
+    st.markdown(f"**Label**: {ex_label}")
+    st.markdown(
+        f'**Prediction**: {ex_pred} {get_pred_emoji(ex_label, ex_pred, mode="factcheck")}'
+    )
+else:
+    st.markdown("Or enter your own claim and evidence below:")
+    custom_claim = st.text_input(label="Enter your claim.")
+    custom_evidence = st.text_input(label="Enter your evidence.")
+    if custom_claim != "" and custom_evidence != "":
+        st.markdown(
+            f"**Prediction**: {factcheck(custom_claim, custom_evidence)}"
+        )
 
 st.markdown("---")
 
 st.markdown("## TCFD disclosure classification")
 
-ex2_selected = st.selectbox("Select a TCFD disclosure example", df2["example"])
-selected_row2 = df2[df2["example"] == ex2_selected]
+tcfd_demo = st.radio(
+    "What examples do you want to see?",
+    ("Preloaded examples", "Custom examples"),
+)
 
-ex_text = selected_row2["text"].values[0]
-ex_label2 = selected_row2["label"].values[0]
-ex_pred2 = tcfd_classify(selected_row2["text"].values[0])
+if tcfd_demo == "Preloaded examples":
+    ex2_selected = st.selectbox(
+        "Select a TCFD disclosure example", df2["example"]
+    )
+    selected_row2 = df2[df2["example"] == ex2_selected]
 
-st.markdown(f"**Text**: {ex_text}")
-st.markdown(f"**Label**: {ex_label2}")
-st.markdown(
-    f'**Prediction**: {ex_pred2} {get_pred_emoji(ex_label2, ex_pred2, mode="tcfd")}'
-)
+    ex_text = selected_row2["text"].values[0]
+    ex_label2 = selected_row2["label"].values[0]
+    ex_pred2 = tcfd_classify(selected_row2["text"].values[0])
 
-custom_text = st.text_input(
-    label="Or enter your own sentence to see if it belongs to any specific TCFD disclosure category:"
-)
-st.markdown(f"**Prediction**: {tcfd_classify(custom_text)}")
+    st.markdown(f"**Text**: {ex_text}")
+    st.markdown(f"**Label**: {ex_label2}")
+    st.markdown(
+        f'**Prediction**: {ex_pred2} {get_pred_emoji(ex_label2, ex_pred2, mode="tcfd")}'
+    )
+else:
+    st.markdown(
+        "Or enter your own sentence to see if it belongs to any specific TCFD disclosure category:"
+    )
+    custom_text = st.text_input(label="Enter your text.")
+    if custom_text != "":
+        st.markdown(f"**Prediction**: {tcfd_classify(custom_text)}")