Update app.py

app.py

@@ -1,3 +1,26 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.Interface.load("models/ProsusAI/finbert").launch()
+# Load the text classification pipeline
+pipeline = pipeline("text-classification", model="ProsusAI/finbert", trust_remote_code=True)
+
+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.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
+if __name__ == "__main__":
+    gradio_app.launch()