Delete app.py

app.py

@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-import streamlit as st
-import pandas as pd
-import rdkit
-import streamlit_ketcher
-from streamlit_ketcher import st_ketcher
-import abcBERT
-import RF
-
-# Page setup
-st.set_page_config(page_title="DeepAcceptor", page_icon="🔋", layout="wide")
-st.title("🔋DeepAcceptor")
-
-# Connect to the Google Sheet
-url1 = r"https://docs.google.com/spreadsheets/d/1YOEIg0nMTSPkAOr8wkqxQRLuUhys3-J0I-KPEpmzPLw/gviz/tq?tqx=out:csv&sheet=accept"
-url = r"https://docs.google.com/spreadsheets/d/1YOEIg0nMTSPkAOr8wkqxQRLuUhys3-J0I-KPEpmzPLw/gviz/tq?tqx=out:csv&sheet=111"
-df1 = pd.read_csv(url1, dtype=str, encoding='utf-8')
-col1, col2 = st.columns(2)
-with col1:
-
-	text_search = st.text_input("🔍**Search papers or molecules**", value="")
-	m1 = df1["name"].str.contains(text_search)
-	m2 = df1["reference"].str.contains(text_search)
-	df_search = df1[m1 | m2]
-with col2:
-
-	st.link_button("📝**DATABASE**",  r"https://docs.google.com/spreadsheets/d/1YOEIg0nMTSPkAOr8wkqxQRLuUhys3-J0I-KPEpmzPLw")
-	st.caption('👆If you want to update the database, click the button.')
-if text_search:
-    st.write(df_search)
-    st.download_button( "⬇️ Download edited files as .csv", df_search.to_csv(), "df_search.csv", use_container_width=True)
-edited_df = st.data_editor(df1, num_rows="dynamic")
-edited_df.to_csv(url)
-st.download_button(
-    "⬇️ Download edited files as .csv", edited_df.to_csv(), "edited_df.csv", use_container_width=True
-)
-
-molecule = st.text_input("📋**Molecule**")
-smile_code = st_ketcher(molecule)
-st.subheader(f"✨**Smiles code**: {smile_code}")
-try :
-	P = RF.main( str(smile_code ) )
-	st.header(f":blue[⚡**PCE predicted by RF**]: {P}")
-except:
-	st.header(f":blue[⚡**PCE predicted by RF**]: :red[Running]")
-try:
-    pce = abcBERT.main( str(smile_code ) )
-    st.header(f":blue[⚡**PCE predicted by abcBERT**]: {pce}")
-except:
-    st.header(f":blue[⚡**PCE predicted by abcBERT**]:  :red[Running]")
-