import os # Make sure this is included import streamlit as st from streamlit_chat import message from openai import OpenAI # Load API key securely API_KEY = os.getenv("NV_API_KEY", "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") if not API_KEY: st.error("API key is missing! Please set NV_API_KEY as an environment variable.") st.stop() client = OpenAI( base_url="https://integrate.api.nvidia.com/v1", api_key=API_KEY ) # Initialize the conversation history if "messages" not in st.session_state: st.session_state.messages = [{"role": "assistant", "content": "Hi! I'm your chatbot. How can I assist you today?"}] # Function to get a response from OpenAI def get_chatbot_response(user_input): try: response = openai.ChatCompletion.create( model="gpt-3.5-turbo", # Use GPT-4 if you have access for better responses messages=st.session_state.messages + [{"role": "user", "content": user_input}], ) return response['choices'][0]['message']['content'] except Exception as e: return f"Error: {str(e)}" # App layout st.set_page_config(page_title="ChatGPT-like Chatbot", page_icon="🤖", layout="wide") st.title("ChatGPT-like Chatbot 🤖") # Display the chat conversation for msg in st.session_state.messages: if msg["role"] == "assistant": message(msg["content"], is_user=False, key=f"assistant_{msg['content']}") else: message(msg["content"], is_user=True, key=f"user_{msg['content']}") # User input section user_input = st.text_input( "Type your message:", key="user_input", placeholder="Type here and press Enter..." ) if user_input: # Append user message to session state st.session_state.messages.append({"role": "user", "content": user_input}) # Get chatbot response chatbot_response = get_chatbot_response(user_input) # Append chatbot response to session state st.session_state.messages.append({"role": "assistant", "content": chatbot_response}) # Clear the input field st.session_state.user_input = ""