app creation

app.py

@@ -19,3 +19,50 @@ user = {
 }
 
 context = Context(user)
+
+
+# Function to get the AI model configuration from LaunchDarkly
+def get_model_config():
+    flag_key = "model-swap"  # Replace with your flag key
+
+    # Create a context using Context Builder—it can be anything, but for this use case, I’m just defaulting to myself.
+
+    context = Context.builder("context-key-123abc").name("AJ").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")
+
+user_input = st.text_area("Enter text for sentiment analysis:")
+
+if st.button("Analyze"):
+    model_id = get_model_config()
+    model = pipeline("sentiment-analysis", model=model_id)
+    
+    # Display model details
+    st.write(f"Using model: {model_id}")
+    
+    # Perform sentiment analysis
+    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()