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Update app.py
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app.py
CHANGED
@@ -1,7 +1,10 @@
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import streamlit as st
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import pandas as pd
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import pickle
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st.set_page_config(
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page_title=" :mushroom: Mushroom App",
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page_icon="🍄",
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@@ -10,7 +13,9 @@ st.set_page_config(
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)
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def user_input_features():
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cap_diameter = st.sidebar.slider('Cap Diameter',
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min_value=0.0,
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max_value=2000.0,
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@@ -24,7 +29,7 @@ def user_input_features():
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'flat',
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'sunken',
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'spherical',
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'other')
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)
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gill_attachment = st.sidebar.selectbox('Gill Attachment',
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options=('adnate',
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@@ -33,7 +38,7 @@ def user_input_features():
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'free',
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'sinuate',
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'pores',
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'none')
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)
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gill_color = st.sidebar.selectbox('Gill Color',
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options=('brown',
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@@ -47,7 +52,7 @@ def user_input_features():
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'yellow',
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'blue',
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'orange',
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'black')
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)
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stem_height = st.sidebar.slider('Stem Height',
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min_value=0.0,
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@@ -73,16 +78,17 @@ def user_input_features():
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'yellow',
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'blue',
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'orange',
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'black')
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)
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season = st.sidebar.selectbox('Season',
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options=('spring',
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'summer',
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'autumn',
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'winter')
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)
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-
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def get_color(color_name):
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color_dict = {
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'brown': 0,
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@@ -96,11 +102,12 @@ def user_input_features():
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'yellow': 8,
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'blue': 9,
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'orange': 10,
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'black': 11
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}
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return color_dict.get(color_name.lower(), "not found")
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def get_cap_shape(cap_shape):
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shape_dict = {
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'bell': 0,
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@@ -109,11 +116,12 @@ def user_input_features():
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'flat': 3,
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'sunken': 4,
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'spherical': 5,
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'other': 6
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}
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return shape_dict.get(cap_shape.lower(), "not found")
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def get_gill_attachment(gill_attachment):
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gill_attachment_dict = {
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'adnate': 0,
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@@ -122,20 +130,22 @@ def user_input_features():
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'free': 3,
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'sinuate': 4,
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'pores': 5,
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'none': 6
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}
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return gill_attachment_dict.get(gill_attachment.lower(), "not found")
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def get_season(season):
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season_dict = {
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'spring': 0,
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'summer': 1,
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'autumn': 2,
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'winter': 3
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}
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return season_dict.get(season.lower(), "not found")
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data = {'cap-diameter': cap_diameter,
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'cap-shape': get_cap_shape(cap_shape),
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'gill-attachment': get_gill_attachment(gill_attachment),
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@@ -143,40 +153,47 @@ def user_input_features():
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'stem-height': stem_height,
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'stem-width': stem_width,
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'stem-color': get_color(stem_color),
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'season': get_season(season)
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}
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features = pd.DataFrame(data, index=[0])
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return features
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#@st.cache_data()
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def get_model():
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model = pickle.load(open("models/rfc_model.pkl", "rb"))
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return model
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def make_prediction(data):
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model = get_model()
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return model.predict(data)
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def main():
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st.write("""# :mushroom: Mushroom App""")
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st.sidebar.image("img/dataset-cover.jpg")
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user_data = user_input_features()
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if 'btn_predict' not in st.session_state:
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st.session_state['btn_predict'] = False
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st.session_state['btn_predict'] = st.button("Predict")
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if make_prediction(user_data) == 1:
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st.error("# Result: Poisonous :skull_and_crossbones: ")
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else:
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st.success("# Result: Edible :mushroom: ")
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-
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-
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# Importing the necessary libraries
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import streamlit as st
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import pandas as pd
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import pickle
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# Setting up the page configuration for Streamlit App
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st.set_page_config(
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page_title=" :mushroom: Mushroom App",
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page_icon="🍄",
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)
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# Function for user input features
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def user_input_features():
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# Creating sliders and select boxes for user input in the sidebar
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cap_diameter = st.sidebar.slider('Cap Diameter',
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min_value=0.0,
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max_value=2000.0,
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'flat',
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'sunken',
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'spherical',
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'other',)
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)
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gill_attachment = st.sidebar.selectbox('Gill Attachment',
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options=('adnate',
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'free',
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'sinuate',
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'pores',
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'none',)
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)
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gill_color = st.sidebar.selectbox('Gill Color',
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options=('brown',
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'yellow',
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'blue',
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'orange',
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'black',)
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)
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stem_height = st.sidebar.slider('Stem Height',
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min_value=0.0,
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'yellow',
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'blue',
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'orange',
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'black',)
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)
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season = st.sidebar.selectbox('Season',
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options=('spring',
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'summer',
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'autumn',
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'winter',)
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)
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# Function to get the color code
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def get_color(color_name):
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color_dict = {
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'brown': 0,
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'yellow': 8,
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'blue': 9,
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'orange': 10,
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'black': 11,
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}
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return color_dict.get(color_name.lower(), "not found")
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# Function to get the cap shape code
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def get_cap_shape(cap_shape):
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shape_dict = {
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'bell': 0,
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'flat': 3,
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'sunken': 4,
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'spherical': 5,
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'other': 6,
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}
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return shape_dict.get(cap_shape.lower(), "not found")
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# Function to get gill attachment code
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def get_gill_attachment(gill_attachment):
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gill_attachment_dict = {
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'adnate': 0,
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'free': 3,
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'sinuate': 4,
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'pores': 5,
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'none': 6,
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}
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return gill_attachment_dict.get(gill_attachment.lower(), "not found")
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# Function to get season code
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def get_season(season):
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season_dict = {
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'spring': 0,
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'summer': 1,
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'autumn': 2,
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'winter': 3,
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}
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return season_dict.get(season.lower(), "not found")
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# Creating a data dictionary to store the user input data
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data = {'cap-diameter': cap_diameter,
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'cap-shape': get_cap_shape(cap_shape),
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'gill-attachment': get_gill_attachment(gill_attachment),
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'stem-height': stem_height,
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'stem-width': stem_width,
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'stem-color': get_color(stem_color),
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'season': get_season(season),
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}
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# Creating a DataFrame from the data dictionary
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features = pd.DataFrame(data, index=[0])
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return features
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# Function to load the prediction model
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#@st.cache_data()
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def get_model():
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model = pickle.load(open("models/rfc_model.pkl", "rb"))
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return model
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# Function to make prediction using the model and input data
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def make_prediction(data):
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model = get_model()
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return model.predict(data)
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# Main function
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def main():
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st.write("""# :mushroom: Mushroom App""")
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st.sidebar.image("img/dataset-cover.jpg")
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user_data = user_input_features()
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# Creating a session state button for prediction
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if 'btn_predict' not in st.session_state:
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st.session_state['btn_predict'] = False
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st.session_state['btn_predict'] = st.button("Predict")
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# Making prediction and showing result
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if st.session_state['btn_predict'] == True:
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if make_prediction(user_data) == 1:
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st.error("# Result: Poisonous :skull_and_crossbones: ")
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else:
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st.success("# Result: Edible :mushroom: ")
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# Running the main function
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if __name__ == "__main__":
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main()
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