Update app.py

app.py

@@ -1,26 +1,19 @@
-import gradio as gr
 from transformers import pipeline
-
-# Load the text classification pipeline
-pipeline = pipeline("text-classification", model="ProsusAI/finbert", trust_remote_code=True)
+pipeline = pipeline("text-classification" , model = "ProsusAI/finbert")
 
 def predict(input_text):
-    predictions = pipeline(input_text, threshold=0.5, return_scores=True)
-    return predictions[0]
+  predictions = pipeline(input_text )
+  print(predictions)
+  return predictions[0]
+
 
-# Define the Gradio interface
 gradio_app = gr.Interface(
-    predict,
-    inputs=gr.Textbox(label="Write a text"),
-    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",
+  predict,
+  inputs=gr.Textbox(label="Write a text"),
+  outputs=gr.Textbox(label="output a text"),
+  title="Financial Sentiment Analysis",
+  live=True,
+  allow_flagging="never",
 )
 
-# Launch the Gradio interface
-if __name__ == "__main__":
-    gradio_app.launch()
+gradio_app.launch()