import streamlit as st import time import requests import json def ask(prompt): url = 'http://localhost:8080/v1/chat/completions' myobj = { "model": "ggml-gpt4all-j.bin", "messages": [{"role": "user", "content": prompt}], "temperature": 0.9 } myheaders = { "Content-Type" : "application/json" } x = requests.post(url, json = myobj, headers=myheaders) print(x.text) json_data = json.loads(x.text) return json_data["choices"][0]["message"]["content"] def main(): # Page setup st.set_page_config(page_title="Ask your LLM") st.header("Ask your Question 💬") # 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"]) # Scroll to bottom st.markdown( """ """, unsafe_allow_html=True, ) # React to user input if prompt := st.chat_input("What is up?"): # Display user message in chat message container st.chat_message("user").markdown(prompt) # Add user message to chat history st.session_state.messages.append({"role": "user", "content": prompt}) print(f"User has asked the following question: {prompt}") # Process response = "" with st.spinner('Processing...'): response = ask(prompt) #response = f"Echo: {prompt}" # Display assistant response in chat message container with st.chat_message("assistant"): st.markdown(response) # Add assistant response to chat history st.session_state.messages.append({"role": "assistant", "content": response}) if __name__ == "__main__": main()