Update app.py

app.py

@@ -1,20 +1,21 @@
 import gradio as gr
 from transformers import pipeline
 
-pipeline =pipeline("text-classification",model="ProsusAI/finbert",trust_remote_code=True)
+# Load the text classification pipeline
+pipeline = pipeline("text-classification", model="ProsusAI/finbert", trust_remote_code=True)
 
-def predict(input_img):
-    predictions = pipeline(input_img ,  threshold=0.5, #optional parameter defaults to 0
-                  return_scores = False #optional parameter defaults to False
-                          )
-    return predictions
+def predict(input_text):  # Corrected argument name
+    predictions = pipeline(input_text, threshold=0.5, return_scores=False)
+    return predictions[0]  # Extract the first prediction
 
+# Define the Gradio interface
 gradio_app = gr.Interface(
     predict,
-    inputs=gr.Textbox(label="Write a text") ,
-    outputs=gr.Text(),
-    title="sentiment analysis",
+    inputs=gr.Textbox(label="Write a text"),
+    outputs=gr.Textbox(label="Predicted Sentiment"),  # More descriptive label
+    title="Financial Sentiment Analysis",  # More specific title
 )
 
+# Launch the Gradio interface
 if __name__ == "__main__":
     gradio_app.launch()