Create app.py

app.py

@@ -0,0 +1,23 @@
+from transformers import pipeline
+
+classifier = pipeline("text-classification",
+                      model="senti")
+def func(text):
+  pred=classifier(text)[0]['label']
+  if pred=='LABEL_0':
+    return 'sadness'
+  elif pred=='LABEL_1':
+    return 'joy'
+  elif pred=='LABEL_2':
+    return 'love'
+  elif pred=='LABEL_3':
+    return 'anger'
+  elif pred=='LABEL_4':
+    return 'fear'
+  elif pred=='LABEL_5':
+    return 'surprise'
+import gradio as gr
+descriptions = "This is an AI sentiment analyzer which checks and gets the emotions in a particular text. Just put in a sentence and you'll get the probable emotions behind that sentence"
+
+app = gr.Interface(fn=func, inputs="text", outputs="text", title="Sentiment Analayser", description=descriptions)
+app.launch(share=True)