LSTM model

app.py

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+import streamlit as st
+
+import numpy as np
+import pandas as pd
+
+
+user_info = {
+
+    "avg_1m" : 0.05,
+    "avg_1h" : 0.4,
+    "avg_1d" : 0.7,
+    "avg_1w" : 0.3,
+    "user_rank_1m" : 6,
+    "user_rank_1h" : 7,
+    "user_rank_1d" : 5,
+    "user_rank_1w" : 4
+}
+better_users_1m = {"user1": 0.45,
+"user2": 0.3,
+"user3": 0.1}
+
+better_users_1h = {"user1": 0.45,
+"user2": 0.3,
+"user3": 0.1}
+
+better_users_1d = {"user1": 0.45,
+"user2": 0.3,
+"user3": 0.1}
+
+better_users_1w = {"user1": 0.45,
+"user2": 0.3}
+
+#Create the User DataFrame:
+df = pd.DataFrame({
+"Profit": [user_info["avg_1m"], user_info["avg_1h"], user_info["avg_1d"], user_info["avg_1w"]],
+"Rank": [user_info["user_rank_1m"], user_info["user_rank_1h"], user_info["user_rank_1d"], user_info["user_rank_1w"]]
+}, index=["1_minute", "1_hour", "1_day", "1_week"])
+
+# Define the section title with center alignment
+st.markdown("<h1 style='text-align: center;'>User Info</h1>", unsafe_allow_html=True)
+
+
+
+# Define the section title with center alignment
+st.markdown("<h1 style='text-align: center;'>User Info</h1>", unsafe_allow_html=True)
+
+
+# Define the section title with center alignment
+st.markdown("<h1 style='text-align: center;'>User Info</h1>", unsafe_allow_html=True)
+
+# Display the DataFrame with center alignment
+st.write(df.style.set_properties(**{'text-align': 'center', 'margin': 'auto'}))
+
+
+
+
+#Display the DataFrame
+st.dataframe(df)
+
+#Create the DataFrames of the better users:
+df_better_1m = pd.DataFrame(list(better_users_1m.items()), columns=["User Name", "Profit"], index=pd.RangeIndex(start=1, stop=len(better_users_1m)+1, name="Rank"))
+df_better_1h = pd.DataFrame(list(better_users_1h.items()), columns=["User Name", "Profit"], index=pd.RangeIndex(start=1, stop=len(better_users_1h)+1, name="Rank"))
+df_better_1d = pd.DataFrame(list(better_users_1d.items()), columns=["User Name", "Profit"], index=pd.RangeIndex(start=1, stop=len(better_users_1d)+1, name="Rank"))
+df_better_1w = pd.DataFrame(list(better_users_1w.items()), columns=["User Name", "Profit"], index=pd.RangeIndex(start=1, stop=len(better_users_1w)+1, name="Rank"))
+
+col1_content = "### Better 1 min users"
+col2_content = "### Better 1 hour users"
+col3_content = "### Better 1 day users"
+col4_content = "### Better 1 week users"
+
+#Create the columns using beta_columns function
+col1, col2, col3, col4 = st.columns(4)
+
+#Add the content to each column
+col1.write(col1_content)
+col1.dataframe(df_better_1m)
+
+col2.write(col2_content)
+col2.dataframe(df_better_1h)
+
+col3.write(col3_content)
+col3.dataframe(df_better_1d)
+
+col4.write(col4_content)
+col4.dataframe(df_better_1w)