| from traning_zone.classe_prediction.prediction_classe import * | |
| import streamlit as st | |
| import plotly.express as px | |
| import warnings | |
| warnings.filterwarnings("ignore") | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| sns.set() | |
| sns.set(rc={'figure.figsize':(14.7,10.27)}) | |
| st.title("Classification") | |
| def get_data() : | |
| data = None | |
| uploaded_file = st.file_uploader("Choose a CSV file with the separator ',' ", type=["csv"]) | |
| if uploaded_file is not None: | |
| data = pd.read_csv(uploaded_file,dtype=str, sep=",") | |
| return data | |
| inputs = get_data() | |
| inputs | |
| if inputs != None : | |
| X = inputs.DESCRIPTION | |
| pred = PredictionV(X) | |
| data = pred.prediction("spacy_spacy") | |
| st.dataframe(data) |