Update app.py

app.py

@@ -1,6 +1,6 @@
-import gradio as gr
 #gr.Interface.load("models/hipnologo/gpt2-imdb-finetune").launch()
-
+import gradio as gr
+from gradio import inputs, outputs
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
 def predict_review(text):
@@ -24,16 +24,15 @@ def predict_review(text):
     sentiment = 'Positive' if predicted_class == 1 else 'Negative'
 
     # Create a Markdown string for the output
-    result_md = f"## Sentiment: **{sentiment}**"
+    result_md = f"Sentiment: {sentiment}"
     return result_md
 
 iface = gr.Interface(
     fn=predict_review, 
-    inputs=gr.inputs.Textbox(lines=7, placeholder="Enter text here..."), 
-    outputs=gr.outputs.Markdown(),
+    inputs=inputs.Textbox(lines=7, placeholder="Enter text here..."), 
+    outputs=outputs.Text(),
     title="Sentiment Analysis",
     description="This application predicts the sentiment (Positive/Negative) of the input text using a fine-tuned GPT-2 model.",
     theme="compact"  # change this to the theme you prefer: 'huggingface', 'default'
 )
 iface.launch()
-