Delete app2.py

app2.py

@@ -1,95 +0,0 @@
-""" Simple Chatbot
-@author: Nigel Gebodh
-@email: [email protected]
-"""
-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})