Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 from transformers import pipeline
 
-# Use a financial/crypto-specific model
 sentiment_pipeline = pipeline(
     "sentiment-analysis",
     model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"
@@ -11,8 +10,15 @@ def analyze(text):
     result = sentiment_pipeline(text)[0]
     return f"{result['label']} (Confidence: {result['score']:.2f})"
 
+# Explicitly define the Gradio interface with API support
 gr.Interface(
     fn=analyze,
-    inputs=gr.Textbox(placeholder="Enter crypto news headline..."),
-    outputs="text"
-).launch()
+    inputs="text",
+    outputs="text",
+    title="Crypto News Sentiment Analysis",
+    allow_flagging="never"
+).launch(
+    server_name="0.0.0.0",
+    server_port=7860,
+    share=True  # Generates a public URL
+)