| 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) |
