Create app.py

app.py

@@ -0,0 +1,23 @@
+# imports
+from transformers import pipeline
+import gradio as gr
+
+# define nlp mask
+model = "siebert/sentiment-roberta-large-english"
+nlp = pipeline(model=model)  # set device=0 to use GPU (CPU default, -1)
+
+# Inference
+def inference(sentence):
+  preds = nlp(sentence)
+  pred_sentiment = preds[0]["label"]
+  pred_score = preds[0]["score"]
+  return pred_sentiment, pred_score
+  
+# launch app
+gr.Interface(inference,
+             inputs=[gr.inputs.Textbox(label="Sentiment to predict", default="I love this!")],
+             outputs=[gr.outputs.Textbox(type="auto", label="Predicted sentiment"),
+                      gr.outputs.Textbox(type="auto", label="Predicted score")],
+             description="Sentiment analysis",
+             allow_flagging=False,
+             ).launch(debug=True)