Update app.py

app.py

@@ -10,8 +10,6 @@ from huggingface_hub import login
 hf_token = os.environ["HF_TOKEN"]
 login(token=hf_token)
 
-
-# Carica modello GRPO fine-tuned
 model_name = "SelmaNajih001/GRPORagMinstral2"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 pipe = pipeline(
@@ -71,8 +69,8 @@ def analisi_finanziaria(query, k=3):
     
 import gradio as gr
 
-# Examples from your thesis
 examples = [
+    "Deep Seek published a new AI better than OpenAI without using Nvidia's Chips",
     "Trump imposes tariffs",
     "Tesla announces a new affordable electric vehicle model",
     "Nvidia releases new GPU technology",
@@ -98,9 +96,9 @@ This tool analyzes financial events using a retrieval-augmented **language model
 Click an example below to quickly test the model.
 """
 
-# Create Gradio interface
+# Gradio interface
 iface = gr.Interface(
-    fn=analisi_finanziaria,  # your actual function
+    fn=analisi_finanziaria, 
     inputs=gr.Textbox(label="Enter financial event", placeholder="Type an event here..."),
     outputs=gr.Textbox(label="Prediction"),
     title="GRPO Financial Analyst",