Create app.py

app.py

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+! pip install datasets transformers
+!apt install git-lfs
+from huggingface_hub import notebook_login
+import transformers
+from datasets import load_dataset
+from transformers import AutoModelForSequenceClassification
+model = AutoModelForSequenceClassification.from_pretrained("DioLiu/autotrain-test-2940485233")
+from transformers import AutoTokenizer
+model_checkpoint = "distilbert-base-uncased"    
+tokenizer = AutoTokenizer.from_pretrained("DioLiu/autotrain-test-2940485233")
+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(inline = False,share=True)