new line

app.py

@@ -1,14 +1,11 @@
-import torch
+import gradio as gr
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
+import torch
 
-# Define the local model path
-model_path = "./review_analysis/output"
-
-# Load the tokenizer
-tokenizer = AutoTokenizer.from_pretrained(model_path)
+#load model
+model = AutoModelForSequenceClassification.from_pretrained("./")
+tokenizer = AutoTokenizer.from_pretrained("./")
 
-# Load the model directly from the local path
-model = AutoModelForSequenceClassification.from_pretrained(model_path)
 
 # Define the inference function
 def predict_sentiment(text):
@@ -19,7 +16,6 @@ def predict_sentiment(text):
     return label_map[predicted_label]
 
 # Gradio interface set-up
-import gradio as gr
 title = "Movie Review Sentiment Analysis"
 description = ("Enter a movie review and find out whether it's Positive or Negative!")
 review = gr.Textbox(lines=10, label="Enter your movie review here...")