Delete chatbot.py

chatbot.py

@@ -1,55 +0,0 @@
-import streamlit as st
-import json
-import requests
-from transformers import pipeline
-import wikipediaapi
-
-# Load historical figures and tutor topics from Wikipedia dynamically
-wiki_wiki = wikipediaapi.Wikipedia("en")
-
-# Load local AI model (Mistral-7B or Llama-2)
-chat_model = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.1")
-
-def get_wikipedia_summary(name):
-    page = wiki_wiki.page(name)
-    return page.summary if page.exists() else "Sorry, I couldn't find information on that historical figure."
-
-def chat_with_ai(person_name, user_input):
-    context = get_wikipedia_summary(person_name)
-    prompt = f"You are {person_name}. Based on this historical information: {context}\n\nUser: {user_input}\n{person_name}:"
-    response = chat_model(prompt, max_length=200, truncation=True)
-    return response[0]["generated_text"].split("User:")[0].strip()
-
-st.title("Educational Chatbot")
-mode = st.sidebar.selectbox("Select Chat Mode", ["Chat with Historical Figures", "Study with a Tutor"])
-
-if mode == "Chat with Historical Figures":
-    person_name = st.text_input("Enter the name of a historical figure:")
-    if person_name:
-        st.write(f"You are now chatting with **{person_name}**!")
-
-elif mode == "Study with a Tutor":
-    topic = st.sidebar.selectbox("Choose a Study Topic", ["Mathematics", "History", "Physics"])
-    st.write(f"You are now studying **{topic}**!")
-
-# Chat input
-if "messages" not in st.session_state:
-    st.session_state.messages = []
-
-for msg in st.session_state.messages:
-    st.chat_message(msg["role"]).write(msg["content"])
-
-user_input = st.chat_input("Type your message here...")
-
-if user_input and mode == "Chat with Historical Figures" and person_name:
-    st.session_state.messages.append({"role": "user", "content": user_input})
-    st.chat_message("user").write(user_input)
-    response = chat_with_ai(person_name, user_input)
-    st.session_state.messages.append({"role": "assistant", "content": response})
-    st.chat_message("assistant").write(response)
-
-# Instructions for Deployment
-st.sidebar.subheader("Deployment Instructions")
-st.sidebar.markdown("1. Ensure `transformers` and `wikipedia-api` libraries are installed.")
-st.sidebar.markdown("2. Run `streamlit run chatbot.py` locally.")
-st.sidebar.markdown("3. Deploy on [Hugging Face Spaces](https://huggingface.co/spaces) or Replit.")