Update app.py

app.py

@@ -11,7 +11,7 @@ import tensorflow as tf
 tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
 
 # Load pre-trained model and tokenizer
-saved_directory = "orYx-models/Leadership-sentiment-analyzer"
+saved_directory = "orYx-models/finetuned-roberta-leadership-sentiment-analysis"
 tokenizer = AutoTokenizer.from_pretrained(saved_directory)
 model = AutoModelForSequenceClassification.from_pretrained(saved_directory)
 nlp = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
@@ -26,7 +26,7 @@ st.set_page_config(page_title="Sentiment Analysis", layout="wide")
 col1, col2 = st.columns([6, 1])  # Divide the screen into two columns
 
 with col2:  # Right-aligned column for the logo
-    st.image("orYx-models/Leadership-sentiment-analyzer", width=200, use_column_width=False)  # Provide the path to your company logo
+    st.image("orYx-models/finetuned-roberta-leadership-sentiment-analysis", width=200, use_column_width=False)  # Provide the path to your company logo
 
 with col1:  # Main content area
     st.title("Sentiment Analysis Prototype Tool by orYx Models")