ungraded inferface

app.py

@@ -1,10 +1,24 @@
 import gradio as gr
 from sentiwordnet_calculator import SentimentPipeline
+
 pipe = SentimentPipeline("Tanor/SRGPTSENTPOS2", "Tanor/SRGPTSENTNEG2")
 
 def calculate(text):
-	return pipe(text)
+    result = pipe(text)
+    # Visual representation
+    visual = result
+    # Numerical representation
+    numerical = {key: round(value, 2) for key, value in result.items()}
+    # Create a formatted string
+    numerical_str = ", ".join(f"{key}: {value}" for key, value in numerical.items())
+    return visual, numerical_str
 
+iface = gr.Interface(
+    fn=calculate, 
+    inputs=gr.inputs.Textbox(lines=5, placeholder="Enter your text here..."), 
+    outputs=[gr.outputs.Label(num_top_classes=3), "text"],
+    title="Sentiment Analysis",
+    description="This tool performs sentiment analysis on the input text using a model trained on Serbian dictionary definitions. Please limit the input to 300 tokens. The outputs represent the Positive (POS), Negative (NEG), and Objective (OBJ) sentiment scores."
+)
 
-iface = gr.Interface(fn=calculate, inputs="text", outputs="text")
-iface.launch()
+iface.launch()