Update app.py

app.py

@@ -30,19 +30,19 @@ def predict_sentiment(text):
     input = vectoriser.transform(input)
     res = model.predict(input)
     if (res==1):
-        sentiment="Positive"
+        sentiment="https://files.selecthealth.cloud/api/public/content/228422-being_positive_blog_lg.jpg"
     else :
-        sentiment="Negative"
+        sentiment="https://mentalhealthatease.com/wp-content/uploads/2022/02/girl-with-negative-thoughts-scaled.jpeg"
     return sentiment
 
 
 iface = gr.Interface(
     fn=predict_sentiment,
     inputs=gr.Textbox(),
-    outputs=gr.Textbox(),
+    outputs=gr.Image(type = 'pil'),
     allow_flagging="never",
-    title="Twi_sentiment",
-    description="Input text and predict the sentiment"
+    title="Tweet Sentiment Predict",
+    description="Input your tweet text to predict the sentiment"
 )