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import gradio as gr
import pickle
model = pickle.load(open("model.pkl", "rb"))
vectorizer = pickle.load(open("vectorizer.pkl", "rb"))
def greet(description):
new_query = description
new_issue_vector = vectorizer.transform([new_query])
prediction = model.predict(new_issue_vector)
return str(prediction[0])
iface = gr.Interface(fn=greet, inputs="text", outputs="label",title="Farming Tracker")
# gr.Interface.queue(api_open=True,self)
iface.launch(share=True)
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