Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 from transformers import pipeline
 
+# Load the financial sentiment model
 sentiment_pipeline = pipeline(
     "sentiment-analysis",
     model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"
@@ -8,17 +9,16 @@ sentiment_pipeline = pipeline(
 
 def analyze(text):
     result = sentiment_pipeline(text)[0]
-    return f"{result['label']} (Confidence: {result['score']:.2f})"
+    return {"label": result["label"], "score": result["score"]}  # Return JSON-serializable output
 
-# Explicitly define the Gradio interface with API support
+# Configure Gradio with API support
 gr.Interface(
     fn=analyze,
-    inputs="text",
-    outputs="text",
+    inputs=gr.Textbox(placeholder="Enter crypto news headline..."),
+    outputs=gr.Label(),
     title="Crypto News Sentiment Analysis",
-    allow_flagging="never"
+    flagging_mode="never"  # Fixes deprecated `allow_flagging` warning
 ).launch(
     server_name="0.0.0.0",
-    server_port=7860,
-    share=True  # Generates a public URL
+    server_port=7860
 )