made the rudimentary app.py with gradio interface

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from transformers import pipeline, AutoModelForSequenceClassification,AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained('albert')
+tokenizer = AutoTokenizer.from_pretrained('albert')
+
+classifier = pipeline('sentiment-analysis',model=model,tokenizer=tokenizer,top_k=None)
+
+def classify(statement):
+    preds = classifier(statement)
+    return{i['labels']:float(i['score']) for i in preds[0]}
+
+demo = gr.Interface(fn=classify,inputs='text',outputs=gr.Label())
+demo.launch()