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| import gradio as gr | |
| from joblib import load | |
| model = load("model.joblib") | |
| conv = load("tfd.joblib") | |
| def prediction(email): | |
| inp = [email] # passing input | |
| inp_final = conv.transform(inp) # converting input | |
| res = model.predict(inp_final)[0] # predicting output | |
| return "Not Spam" if res==1 else "Spam" # predicting result | |
| iface = gr.Interface( | |
| fn = prediction, | |
| inputs=[gr.Text(label="Email")], | |
| outputs= "text", | |
| title="Spam Idetifier", | |
| description="This is used an app which can identify the email") | |
| iface.launch() |