Delete main.py

main.py

@@ -1,31 +0,0 @@
-import gradio as gr
-import pickle
-
-def model(sl,sw,pl,pw):
-  sepal_length = float()
-  sepal_width = float()
-  petal_length = float()
-  petal_width = float()
-  dataframe = pd.DataFrame({"sepal length (cm)":[sepal_length],"sepal width (cm)":[sepal_width],'petal length (cm)':[petal_length],'petal width (cm)':[petal_width]})
-  with open('/content/model.pkl', 'rb') as file:
-    loaded_model = pickle.load(file)
-    output = loaded_model.predict(dataframe)
-    if output == 0:
-        return"The output class is setosa"
-    elif output == 1:
-        return"The output class is versicolor"
-    elif output == 2:
-        return"The output class is virginica"
-
-with gr.Blocks() as demo:
-  with gr.Row():
-    sepal_length = gr.Number(label="Sepal length (cm)", value=5.1)
-    sepal_width = gr.Number(label="Sepal width (cm)", value=3.5)
-    petal_length = gr.Number(label="Petal length (cm)", value=1.1)
-    petal_width = gr.Number(label="Petal width (cm)", value=2.1)
-  with gr.Row():
-    outputs = gr.Textbox(label='Prediction')
-    run = gr.Button(value="Prediction")
-
-    run.click(model, inputs=[sepal_length, sepal_width, petal_length, petal_width], outputs=outputs)
-demo.launch(debug=True, share=True)