app.py

"""
Simple Chatbot
"""

import streamlit as st
import openai  # Ensure you have the correct import
import os
from dotenv import load_dotenv

load_dotenv()

# Initialize the client
openai.api_key = os.environ.get('HUGGINGFACEHUB_API_TOKEN')  # Replace with your token

model_link = "mistralai/Mistral-7B-Instruct-v0.2"

def reset_conversation():
    """Resets Conversation"""
    st.session_state.conversation = []
    st.session_state.messages = []
    return None

# Set the temperature value directly in the code
temperature = 0.5

# Add a button to clear conversation
if st.button('Reset Chat'):
    reset_conversation()

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

st.title("Mistral-7B Chatbot")
st.subheader("Ask me anything!")

# Display chat messages from history on app rerun
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# Accept user input
prompt = st.chat_input("Type your message here...")

if prompt:
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(prompt)
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})

    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        try:
            response = openai.Completion.create(
                engine=model_link,
                prompt=prompt,
                max_tokens=3000,
                temperature=temperature
            )

            response_content = response.choices[0].text.strip()
            st.markdown(response_content)
            st.session_state.messages.append({"role": "assistant", "content": response_content})

        except Exception as e:
            st.markdown("An error occurred. Please try again later.")
            st.markdown(f"Error details: {e}")