updated gradio interface

app.py

@@ -6,13 +6,19 @@ model = joblib.load("model.pkl")
 
 
 def get_sentiment(input_text):
-    return model.predict([input_text])[0].capitalize()
+    predictions = model.predict_proba([input_text])
+    label = {
+                  "negative":str(predictions[0][0]),
+                  "positive":str(predictions[0][1]),
+              }
+     return label 
 
 
 iface = gr.Interface(
     fn=get_sentiment,
-    inputs="text",
-    outputs=["text"],
-    title="Swahili Sentiment Analysis",
+    inputs=[gr.Text(text="Sijapendezwa na tabia yake")],
+    outputs=[gr.Label(label='Sentiment')],
+    title="Swahili Sentiment Analysis using",
+    description="Swahili sentiment analysis is based on a Bayesian scikit-learn model"
 )
 iface.launch(inline=False)