Update app.py

app.py

@@ -1,22 +1,22 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load the financial sentiment model
+# Load the crypto-specific sentiment model
 sentiment_pipeline = pipeline(
-    "sentiment-analysis",
-    model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"
+    "text-classification",
+    model="ElKulako/cryptobert",  # Crypto-optimized model
+    tokenizer="ElKulako/cryptobert"
 )
 
 def analyze(text):
     result = sentiment_pipeline(text)[0]
-    return {"label": result["label"], "score": result["score"]}  # Return a JSON-serializable dictionary
+    return {"label": result["label"], "score": result["score"]}
 
-# Configure Gradio with explicit API support
 gr.Interface(
     fn=analyze,
     inputs=gr.Textbox(placeholder="Enter crypto news headline..."),
-    outputs=gr.JSON(),  # Use JSON output for API compatibility
-    title="Crypto News Sentiment Analysis",
+    outputs=gr.JSON(),
+    title="Crypto-Specific Sentiment Analysis",
     flagging_mode="never"
 ).launch(
     server_name="0.0.0.0",