Change the model for app.py

app.py

@@ -3,9 +3,8 @@ from transformers import AutoModelForSequenceClassification, AutoTokenizer
 import torch
 
 # Load the pre-trained model and tokenizer
-model_name = "distilbert-base-uncased"  # Replace this with the desired model
-model = AutoModelForSequenceClassification.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained("mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis")
+model = AutoModelForSequenceClassification.from_pretrained("mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis")
 
 # Define a function for sentiment analysis
 def predict_sentiment(text):
@@ -31,6 +30,7 @@ def predict_sentiment(text):
 
     return result
 
+# Define inputs and outputs directly without using gr.inputs or gr.outputs
 iface = gr.Interface(
     fn=predict_sentiment,
     inputs=gr.inputs.Textbox(lines=10, label="Enter financial statement"),