Create app.py

app.py

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+import streamlit as st
+import spacy
+import wikipediaapi
+import wikipedia
+from wikipedia.exceptions import DisambiguationError
+from transformers import TFAutoModel, AutoTokenizer
+import numpy as np
+import pandas as pd
+import faiss
+import datetime
+import time
+import random  # Import random library
+from streamlit.components.v1 import html as html_component  # Import html component
+
+# Add a list of random subjects
+random_subjects = [
+    "Computer Science",
+    "Physics",
+    "Chemistry",
+    "Biology",
+    "History",
+    "Mathematics",
+    "Geography",
+    "Art",
+    "Music",
+    "Literature",
+]
+
+# ... (rest of the code)
+
+def main():
+    st.title("Streamlit Chat")
+
+    name = st.text_input("Enter your name")
+    message = st.text_input("Enter a topic to share from Wikipedia")
+
+    # If no input is provided, select a random subject
+    if not message:
+        message = random.choice(random_subjects)
+
+    if st.button("Submit"):
+        
+        # wiki
+        df = get_wiki_summaryDF(message)
+        
+        save_message(name, message)
+        save_message(name, df.to_string())  # Convert DataFrame to string before saving
+        
+        st.text("Message sent!")
+
+    st.text("Chat history:")
+
+    # Display chat history in a data grid
+    with open("chat.txt", "a+") as f:
+        f.seek(0)
+        chat_history = f.read()
+
+    # Wrap text in the chat history
+    wrapped_chat_history = "<br>".join(chat_history.split("\n"))
+
+    # Render chat history using the html component
+    html_component(f"<pre style='white-space: pre-wrap;'>{wrapped_chat_history}</pre>")
+
+    countdown = st.empty()
+    t = 60
+    while t:
+        mins, secs = divmod(t, 60)
+        countdown.text(f"Time remaining: {mins