Update app.py

app.py

@@ -2,34 +2,31 @@ import gradio as gr
 
 gr.load("models/AnkitAI/reviews-roberta-base-sentiment-analysis").launch()
 
-# import gradio as gr
-# from transformers import RobertaTokenizer, RobertaForSequenceClassification
-# import torch
+import gradio as gr
+from transformers import RobertaForSequenceClassification, RobertaTokenizer
 
-# # Load the model and tokenizer
-# model_name = "AnkitAI/reviews-roberta-base-sentiment-analysis"
-# model = RobertaForSequenceClassification.from_pretrained(model_name)
-# tokenizer = RobertaTokenizer.from_pretrained(model_name)
+# Load model and tokenizer
+model_name = "AnkitAI/reviews-roberta-base-sentiment-analysis"
+model = RobertaForSequenceClassification.from_pretrained(model_name)
+tokenizer = RobertaTokenizer.from_pretrained(model_name)
 
-# # Define a function to perform sentiment analysis and map labels
-# def predict_sentiment(text):
-#     inputs = tokenizer(text, return_tensors="pt")
-#     outputs = model(**inputs)
-#     logits = outputs.logits
-#     predicted_class_id = torch.argmax(logits, dim=1).item()
-    
-#     # Map class id to label
-#     labels = ["Negative", "Positive"]
-#     return labels[predicted_class_id]
+# Define a function for prediction
+def predict_sentiment(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model(**inputs)
+    logits = outputs.logits
+    predicted_class = logits.argmax().item()
+    sentiment = "positive" if predicted_class == 1 else "negative"
+    return sentiment
 
-# # Create a Gradio interface
-# interface = gr.Interface(
-#     fn=predict_sentiment,
-#     inputs=gr.inputs.Textbox(lines=2, placeholder="Enter a review here..."),
-#     outputs="text",
-#     title="Reviews Sentiment Analysis",
-#     description="Enter an Amazon review to see if it is positive or negative."
-# )
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=predict_sentiment,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter a review..."),
+    outputs="text",
+    title="Reviews Sentiment Analysis",
+    description="Enter a review to analyze its sentiment. LABEL_1 = positive, LABEL_0 = negative."
+)
 
-# # Launch the interface
-# interface.launch()
+# Launch the interface
+interface.launch()