Create app.py

app.py

@@ -0,0 +1,18 @@
+import transformers
+from huggingface_hub import notebook_login
+from datasets import load_dataset
+from transformers import AutoModelForSequenceClassification
+model = AutoModelForSequenceClassification.from_pretrained("DioLiu/autotrain-koles_score-3215890190")
+from transformers import AutoTokenizer
+model_checkpoint = "distilbert-base-uncased"    
+tokenizer = AutoTokenizer.from_pretrained("DioLiu/autotrain-koles_score-3215890190")
+from transformers import pipeline
+import gradio as gr
+from transformers import pipeline
+
+classifier = pipeline("sentiment-analysis",model=model,tokenizer=tokenizer)
+def get_sentiment(input_text):
+  return classifier(input_text)
+
+iface = gr.Interface(fn= get_sentiment, inputs="text", outputs = ["text"], title="Sentiment Analysis")
+iface.launch()