Create app.py

app.py

@@ -0,0 +1,26 @@
+from transformers import pipeline
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+ 
+id2label = { 0: "sadness",  1:"joy", 2:"love", 3:"anger", 4:"fear", 5:"surprise" }
+label2id = { "sadness":0, "joy":1, "love":2, "anger":3, "fear":4, "surprise":5}
+ 
+ 
+tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
+model = AutoModelForSequenceClassification.from_pretrained("Sadiksha/sentiment_analysis_bert", id2label=id2label, label2id=label2id)
+pipe = pipeline('sentiment-analysis', model = model, tokenizer=tokenizer)
+
+
+import gradio as gr
+def predict(text):
+  return pipe(text)[0]['label']
+
+iface = gr.Interface(
+  fn=predict, 
+  inputs='text',
+  outputs='text',
+  examples=[["I just received an unexpected gift from my friend and it made my day!"],
+            ["I am feeling so lonely without my family around during the holidays."],
+            ["I have a fear of spiders, they give me the creeps."]]
+)
+
+iface.launch()