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| """ Simple Chatbot | |
| @author: Nigel Gebodh | |
| @email: nigel.gebodh@gmail.com | |
| """ | |
| import numpy as np | |
| import streamlit as st | |
| from openai import OpenAI | |
| import os | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| # Initialize the client | |
| client = OpenAI( | |
| base_url="https://api-inference.huggingface.co/v1", | |
| api_key=os.environ.get('HUGGINGFACEHUB_API_TOKEN') # Replace with your token | |
| ) | |
| # Define Llama 3 model | |
| model_link = "meta-llama/Meta-Llama-3-8B-Instruct" | |
| model_info = { | |
| 'description': """The Llama (3) model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n | |
| It was created by the [**Meta's AI**](https://llama.meta.com/) team and has over **8 billion parameters.** \n""", | |
| 'logo': 'Llama_logo.png' | |
| } | |
| # Random dog images for error message | |
| random_dog = ["0f476473-2d8b-415e-b944-483768418a95.jpg", | |
| "1bd75c81-f1d7-4e55-9310-a27595fa8762.jpg", | |
| "526590d2-8817-4ff0-8c62-fdcba5306d02.jpg", | |
| "1326984c-39b0-492c-a773-f120d747a7e2.jpg"] | |
| def reset_conversation(): | |
| '''Resets Conversation''' | |
| st.session_state.conversation = [] | |
| st.session_state.messages = [] | |
| return None | |
| # Create a temperature slider | |
| temp_values = st.sidebar.slider('Select a temperature value', 0.0, 1.0, (0.5)) | |
| # Add reset button to clear conversation | |
| st.sidebar.button('Reset Chat', on_click=reset_conversation) # Reset button | |
| # Create model description | |
| st.sidebar.write(f"You're now chatting with **Llama 3**") | |
| st.sidebar.markdown(model_info['description']) | |
| st.sidebar.image(model_info['logo']) | |
| st.sidebar.markdown("*Generated content may be inaccurate or false.*") | |
| st.sidebar.markdown("\nRun into issues? \nTry again later as GPU access might be limited.") | |
| # Initialize chat history | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| # 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 | |
| if prompt := st.chat_input(f"Hi, I'm Llama 3, ask me a question"): | |
| # 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: | |
| stream = client.chat.completions.create( | |
| model=model_link, | |
| messages=[ | |
| {"role": m["role"], "content": m["content"]} | |
| for m in st.session_state.messages | |
| ], | |
| temperature=temp_values, | |
| stream=True, | |
| max_tokens=3000, | |
| ) | |
| response = st.write_stream(stream) | |
| except Exception as e: | |
| response = "😵💫 Looks like something went wrong! Try again later.\nHere's a random pic of a 🐶:" | |
| st.write(response) | |
| random_dog_pick = 'https://random.dog/' + random_dog[np.random.randint(len(random_dog))] | |
| st.image(random_dog_pick) | |
| st.write("This was the error message:") | |
| st.write(e) | |
| st.session_state.messages.append({"role": "assistant", "content": response}) | |