Create app.ny

app.ny

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+!pip install gradio --quiet
+!pip install transformers --quiet
+
+from transformers import pipeline
+import gradio as gr
+
+
+pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment")
+textbox = gr.Textbox(label="ادخل الجملة")
+textoutput1 = gr.Textbox(label="الشعور")
+textoutput2 = gr.Textbox(label="الدقة")
+
+#fuction that takes the text and returns 2 values(sentiment and confidence)
+def get_sentiment(text):
+    result = pipe(text)
+    sentiment = result[0]['label']
+    confidence = result[0]['score']
+    return sentiment, confidence
+
+#interface Gradio
+gr.Interface(fn=get_sentiment, inputs=textbox, outputs=[textoutput1, textoutput2]).launch()
+