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| import gradio as gr | |
| from sentiment import vectr, clf | |
| def predict(text): | |
| senti = clf.predict(vectr.transform([text])) | |
| if (int(senti)): | |
| text_sent = "Positive Sentiment Detected😊" | |
| else: | |
| text_sent = "Negative Sentiment Detected😟" | |
| return text_sent | |
| demo = gr.Interface(fn=predict, inputs="text", outputs="text") | |
| demo.launch() |