Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+
+# Set up default data
+sem_mem = [{"fact": "The Earth is round", "category": "science", "source": "NASA"}, {"fact": "Pizza is delicious", "category": "food", "source": "me"}]
+epi_mem = [{"event": "I went to the beach", "sentiment": "happy", "date": "2022-02-28"}, {"event": "I had a fight with my friend", "sentiment": "sad", "date": "2022-02-25"}]
+
+# Define function to save data to CSV file
+def save_data():
+    sem_df = pd.DataFrame(sem_mem)
+    sem_df.to_csv("semantic_memory.csv", index=False)
+    epi_df = pd.DataFrame(epi_mem)
+    epi_df.to_csv("episodic_memory.csv", index=False)
+
+# Define function to load data from CSV file
+def load_data():
+    try:
+        sem_df = pd.read_csv("semantic_memory.csv")
+        sem_mem = sem_df.to_dict("records")
+    except:
+        sem_mem = [{"fact": "The Earth is round", "category": "science", "source": "NASA"}, {"fact": "Pizza is delicious", "category": "food", "source": "me"}]
+    try:
+        epi_df = pd.read_csv("episodic_memory.csv")
+        epi_mem = epi_df.to_dict("records")
+    except:
+        epi_mem = [{"event": "I went to the beach", "sentiment": "happy", "date": "2022-02-28"}, {"event": "I had a fight with my friend", "sentiment": "sad", "date": "2022-02-25"}]
+    return sem_mem, epi_mem
+
+# Define function to add a new fact to semantic memory
+def add_fact(fact, category, source):
+    sem_mem.append({"fact": fact, "category": category, "source": source})
+
+# Define function to add a new event to episodic memory
+def add_event(event, sentiment, date):
+    epi_mem.append({"event": event, "sentiment": sentiment, "date": date})
+
+# Define function to display semantic memory
+def display_sem_mem():
+    st.write("# Semantic Memory")
+    for item in sem_mem:
+        st.write(f"**{item['fact']}** ({item['category']}) - {item['source']}")
+
+# Define function to display episodic memory
+def display_epi_mem():
+    st.write("# Episodic Memory")
+    for item in epi_mem:
+        st.write(f"**{item['event']}** ({item['sentiment']}) - {item['date']}")
+
+# Load data from CSV files
+sem_mem, epi_mem = load_data()
+
+# Set up the Streamlit app
+st.title("Cognitive Agent")
+option = st.sidebar.selectbox("Select an option", ["View Semantic Memory", "View Episodic Memory", "Add Fact to Semantic Memory", "Add Event to Episodic Memory"])
+
+# Handle user input
+if option == "View Semantic Memory":
+    display_sem_mem()
+elif option == "View Episodic Memory":
+    display_epi_mem()
+elif option == "Add Fact to Semantic Memory":
+    fact = st.text_input("Enter a fact")
+    category = st.text_input("Enter a category")