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| # import os | |
| # import openai | |
| # openai.api_type = "azure" | |
| # openai.api_base = "https://fevaworksopenai.openai.azure.com/" | |
| # openai.api_version = "2023-03-15-preview" | |
| # openai.api_key = os.getenv("OPENAI_API_KEY") | |
| # | |
| # response = openai.ChatCompletion.create( | |
| # engine="gpt-35-turbo", | |
| # messages = [{"role":"system","content":"You are an AI assistant that helps people find information."},{"role":"user","content":"<input>" | |
| # max_tokens=800, | |
| # top_p=0.95, | |
| # frequency_penalty=0, | |
| # presence_penalty=0, | |
| # stop=None) | |
| # | |
| # above is an openai chat API call, create a streamlit app with a chat interface that takes user input that enter button to send request and reply with openai API response | |
| import os | |
| import openai | |
| import streamlit as st | |
| # Set up OpenAI API | |
| openai.api_type = "azure" | |
| openai.api_base = "https://fevaworksopenai.openai.azure.com/" | |
| openai.api_version = "2023-03-15-preview" | |
| openai.api_key = os.getenv("OPENAI_API_KEY") | |
| # Streamlit app | |
| st.title("AI Chatbot") | |
| st.write("Ask your question and get a response from the AI.") | |
| user_input = st.text_input("Your question:") | |
| if st.button("Send"): | |
| if user_input: | |
| response = openai.ChatCompletion.create( | |
| engine="gpt-35-turbo", | |
| messages=[{"role": "system", "content": "You are an AI assistant that helps people find information."}, | |
| {"role": "user", "content": user_input}], | |
| max_tokens=800, | |
| top_p=0.95, | |
| frequency_penalty=0, | |
| presence_penalty=0, | |
| stop=None) | |
| st.write("AI response:", response.choices[0].message["content"]) | |
| else: | |
| st.write("Please enter a question.") | |