Update app.py

app.py

@@ -37,23 +37,30 @@ group_dict = {
     28: 'Small-scale farmers',
     29: 'Other'}
 
-#def predict(text):
- #   preds = model([text])[0].item()
+# Define prediction function 
+def predict(text):
+    preds = model([text])[0].item()
   #  return group_dict[preds]
 
-
 # App 
 st.title("Identify references to vulnerable groups.")
-st.write("This app allows you to identify whether a text contains any references to vulnerable groups. This can, for example, be used to analyse policy documents.")
+
+st.write("""Vulnerable groups encompass various communities and individuals who are disproportionately affected by the impacts of climate change
+due to their socioeconomic status, geographical location, or inherent characteristics. By incorporating the needs and perspectives of these groups 
+into national climate policies, governments can ensure equitable outcomes, promote social justice, and strive to build resilience within the most marginalized populations, 
+fostering a more sustainable and inclusive society as we navigate the challenges posed by climate change.This app allows you to identify whether a text contains any 
+references to vulnerable groups, for example when talking about policy documents.""")
 
 #col1, col2 = st.columns(2)
 
 # Create text input box
-st.text_area(label='Please enter your text here', height=350)
+input_text = st.text_area(label='Please enter your text here', height=350, value="Example")
+
+st.write('Prediction:', run_sentiment_analysis(txt))
 
 # Create the output box
 #output=""
-st.text_area(label="Prediction:", height=350)
+#st.text_area(label="Prediction:", height=350)
 
 # Make predictions
 #preds = model(input_text)