add name entre

README.md

@@ -11,3 +11,11 @@ license: mit
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+
+
+## Run on docker
+
+docker run -it -p 7860:7860 --platform=linux/amd64 \
+	-e LAUNCHDARKLY_SDK_KEY="sdk-142d656c-d430-4f8c-b2f1-7275f2ec65ff" \
+	registry.hf.space/asgface-sentimentai:latest streamlit run app.py

app.py

@@ -11,12 +11,12 @@ ld_sdk_key = os.getenv("LAUNCHDARKLY_SDK_KEY")
 ld_client = LDClient(Config(ld_sdk_key))
 
 # Function to get the AI model configuration from LaunchDarkly
-def get_model_config():
+def get_model_config(user_name):
     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()
+    context = Context.builder("context-key-123abc").name(user_name).build()
     flag_variation = ld_client.variation(flag_key, context, default={})
     
     model_id = flag_variation.get("modelID", "distilbert-base-uncased")
@@ -36,8 +36,15 @@ st.title("Sentiment Analysis Demo with AI Model Flags")
 
 user_input = st.text_area("Enter text for sentiment analysis:")
 
+# Add an input box for the user to enter their name
+name = st.text_input("Enter your name", "AJ")
+
+# if no name is anter add anonymous
+if not name:
+    name = "Anonymous"
+
 if st.button("Analyze"):
-    model_id = get_model_config()
+    model_id = get_model_config(name)
     model = pipeline("sentiment-analysis", model=model_id)
     
     # Display model details