Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from PIL import Image
+from sentiment_classification import SentimentClassifier
+
+
+model = SentimentClassifier()
+model.load('szzzzz/sentiment_classifier_sentence_level_bert_16m')
+
+
+
+def detect(text):
+    return round(model.rank(text),2)
+
+
+with gr.Blocks() as app:
+    gr.Markdown("Sentiment Classification To 5 Stars")
+    with gr.Tab("Sentiment Classifier"):
+        text_input = gr.Textbox()
+        text_output = gr.Slider(minimum=1,maximum=5)
+        text_button = gr.Button("SentimentClassifier") 
+    
+
+    text_button.click(detect, inputs=text_input, outputs=text_output)
+    
+app.launch(server_name="0.0.0.0")