Update app.py

app.py

@@ -4,16 +4,21 @@ from transformers import pipeline
 # Load the text classification pipeline
 pipeline = pipeline("text-classification", model="ProsusAI/finbert", trust_remote_code=True)
 
-def predict(input_text):  # Corrected argument name
-    predictions = pipeline(input_text, threshold=0.5, return_scores=False)
-    return predictions[0]  # Extract the first prediction
+def predict(input_text):
+    predictions = pipeline(input_text, threshold=0.5, return_scores=True)
+    return predictions[0]
 
 # Define the Gradio interface
 gradio_app = gr.Interface(
     predict,
     inputs=gr.Textbox(label="Write a text"),
-    outputs=gr.Textbox(label="Predicted Sentiment"),  # More descriptive label
-    title="Financial Sentiment Analysis",  # More specific title
+    outputs=gr.Label(label="Predicted Sentiment Probabilities"),
+    components=[
+        gr.Label(label="Neutral: {:.2f}".format(predictions[0]["score"][0])),
+        gr.Label(label="Positive: {:.2f}".format(predictions[0]["score"][1])),
+        gr.Label(label="Negative: {:.2f}".format(predictions[0]["score"][2])),
+    ],
+    title="Financial Sentiment Analysis",
 )
 
 # Launch the Gradio interface