Create app.py

app.py

@@ -0,0 +1,16 @@
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
+
+from chitra.serve.app import GradioApp
+
+tokenizer = AutoTokenizer.from_pretrained(
+    "finiteautomata/beto-sentiment-analysis")
+model = AutoModelForSequenceClassification.from_pretrained(
+    "finiteautomata/beto-sentiment-analysis")
+classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
+
+
+app = GradioApp(
+    "text-classification",
+    model=classifier,
+)
+app.run()