Sync from deploy tool: tutorials/01-sentiment-explorer

.env.example

@@ -0,0 +1,5 @@
+# Hugging Face token (required for Inference API)
+HF_TOKEN=
+
+# Sentiment model (defaults to DistilBERT SST-2)
+MODEL_ID=distilbert/distilbert-base-uncased-finetuned-sst-2-english

README.md

@@ -12,7 +12,8 @@ license: mit
 
 # 🎭 Sentiment Explorer
 
-Analyze the emotional tone of any text using DistilBERT via the HuggingFace Inference API.
+Analyze the emotional tone of any text using DistilBERT via the HuggingFace
+Inference API.
 
 ## Features
 

app.py

@@ -21,6 +21,14 @@ logger.info(f"MODEL_ID: {MODEL_ID}")
 client = InferenceClient(token=HF_TOKEN) if HF_TOKEN else InferenceClient()
 logger.info("InferenceClient initialized")
 
+# Force dark mode via URL parameter
+FORCE_DARK_MODE = """
+function() {
+    if (document.querySelectorAll('.dark').length === 0) {
+        document.querySelector('body').classList.add('dark');
+    }
+}
+"""
 
 
 def analyze(text: str) -> tuple[str, dict]:
@@ -48,7 +56,7 @@ def analyze(text: str) -> tuple[str, dict]:
 
 logger.info("Building Gradio interface...")
 
-with gr.Blocks(title="Sentiment Explorer") as demo:
+with gr.Blocks(title="Sentiment Explorer", js=FORCE_DARK_MODE) as demo:
     gr.Markdown("# 🎭 Sentiment Explorer\nType anything and see if it's positive or negative!")
 
     inp = gr.Textbox(