Update app.py

app.py

@@ -1,14 +1,16 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load sentiment analysis model
-sentiment_pipeline = pipeline("sentiment-analysis")
+# Use a financial/crypto-specific model
+sentiment_pipeline = pipeline(
+    "sentiment-analysis",
+    model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"
+)
 
 def analyze(text):
     result = sentiment_pipeline(text)[0]
     return f"{result['label']} (Confidence: {result['score']:.2f})"
 
-# Create Gradio interface
 gr.Interface(
     fn=analyze,
     inputs=gr.Textbox(placeholder="Enter crypto news headline..."),