make the labels visible instead of just a number oh and add a cute emoji!

app.py

@@ -14,12 +14,21 @@ ld_client = LDClient(Config(ld_sdk_key))
 def get_model_config():
     flag_key = "swap-sentiment-models"  # Replace with your flag key
     # Create context using Context builder
-    context = Context.builder("context-key-123abc").name("Sandy").build()
+    context = Context.builder("context-key-123abc").name("Erin").build()
     flag_variation = ld_client.variation(flag_key, context, default={})
     
     model_id = flag_variation.get("modelID", "distilbert-base-uncased")
     return model_id
 
+# Function to translate sentiment labels to user-friendly terms
+def translate_label(label):
+    label_mapping = {
+        "LABEL_0": "🤬 Negative",
+        "LABEL_1": "😶 Neutral",
+        "LABEL_2": "😃 Positive"
+    }
+    return label_mapping.get(label, "Unknown")
+
 
 # Streamlit app
 st.title("Sentiment Analysis Demo with AI Model Flags")
@@ -34,8 +43,14 @@ if st.button("Analyze"):
     st.write(f"Using model: {model_id}")
     
     # Perform sentiment analysis
-    result = model(user_input)
-    st.write(result)
+    results = model(user_input)
+    st.write("Results:")
+
+    # Translate and display the results
+    for result in results:
+        label = translate_label(result['label'])
+        score = result['score']
+        st.write(f"Sentiment: {label}, Confidence: {score:.2f}")
 
 # Closing the LD client
 ld_client.close()