This is an attempt to give loopGPT a UI using streamlit.

runui.py

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+import streamlit as st
+from loopgpt.agent import Agent
+
+def custom_agent_cli(agent, continuous=False, user_input=None):
+    agent_cmd = agent.cli(continuous=continuous)
+    while agent_cmd["status"] == "awaiting_input":
+        if user_input is not None:
+            agent_cmd = agent.continue_cli(user_input)
+            user_input = None
+        else:
+            break
+    return agent_cmd
+
+st.title("LoopGPT Agent")
+
+# Create an instance of the LoopGPT Agent
+model = st.selectbox(
+    "Select the GPT model to use:",
+    ("gpt-3.5-turbo", "gpt-4")
+)
+agent = Agent(model=model)
+
+# Set the attributes of the Agent
+name = st.text_input("Agent name", "DevGPT")
+description = st.text_area("Agent description", "an AI assistant that write complete programs in any coding languages")
+goals = st.text_area("Agent goals", "- A Windows app/widget is being developed to display an overlay of clocks for sleep cycles. The average sleep cycle lasts about 90 minutes, and it is recommended to have four to six cycles of sleep every 24 hours for optimal rest and rejuvenation. The sleep cycle app/widget for Windows will provide users with an easy-to-use tool to track and visualize their sleep cycles, helping them achieve better sleep and overall well-being. The user will input their desired wakeup time, and the clock will show optimal times to go to bed, with the nearest bed time to the current time is highlighted in red. Write the necessary code in C# and also provide a clean a modern design in xaml format so I can just paste both in Micorsoft Visual Studio 2022")
+
+response_key = st.empty()
+
+# Execute the Agent's CLI step by step
+execute_steps = False
+if st.button("Step through Agent CLI"):
+    execute_steps = True
+# You can exit the CLI by typing "exit".
+if st.button("Stop execution"):
+    execute_steps = False
+    st.write("Agent CLI execution stopped.")
+
+
+continuous_execution = st.checkbox("Run continuously")
+
+if execute_steps:
+    # Update the agent's attributes
+    agent.name = name
+    agent.description = description
+    agent.goals = goals.splitlines()
+
+    st.write("Starting Agent CLI...")
+    agent_cmd = custom_agent_cli(agent, continuous=continuous_execution, user_input=None)
+    while agent_cmd["status"] == "awaiting_input":
+        st.write(agent_cmd["prompt"])
+
+        if "Execute? (Y/N/Y:n to execute n steps continuously):" in agent_cmd["prompt"]:
+            user_input = response_key.text_input("Enter your response (Y, N, or Y:n):")
+        else:
+            user_input = response_key.text_input("Enter your response:")
+
+        agent_cmd = agent.continue_cli(user_input)
+
+        if agent_cmd["status"] == "success":
+            st.write("Agent CLI successfully executed!")
+            break
+        elif agent_cmd["status"] == "error":
+            st.error(agent_cmd["message"])
+            break
+        response_key.empty()
+else:
+    st.write("Click the 'Step through Agent CLI' button to execute the Agent's CLI step by step.")

runui_old.py

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+import os
+import streamlit as st
+from loopgpt.agent import Agent
+
+st.set_page_config(page_title="LoopGPT UI", page_icon=":robot_face:", layout="wide")
+
+st.title("LoopGPT UI")
+
+st.write("Welcome to the LoopGPT UI! Your AI assistant is here to help you research and find the best tech products.")
+
+# Sidebar inputs
+st.sidebar.title("Agent Configuration")
+model_choice = st.sidebar.selectbox("Select the model:", ["gpt-3.5-turbo", "gpt-4"])
+agent_name = st.sidebar.text_input("Agent Name:", value="ResearchGPT")
+agent_description = st.sidebar.text_input("Agent Description:", value="an AI assistant that researches and finds the best tech products")
+goal_input = st.sidebar.text_area("Agent Goals (one per line):", value="Search for the best headphones on Google\nAnalyze specs, prices and reviews to find the top 5 best headphones\nWrite the list of the top 5 best headphones and their prices to a file\nSummarize the pros and cons of each headphone and write it to a different file called 'summary.txt'")
+
+# Set up the LoopGPT Agent
+agent = Agent(model=model_choice)
+agent.name = agent_name
+agent.description = agent_description
+agent.goals = [goal.strip() for goal in goal_input.split("\n")]
+
+# Display agent information
+st.sidebar.write("**Current Agent Information**")
+st.sidebar.write(f"**Name:** {agent.name}")
+st.sidebar.write(f"**Description:** {agent.description}")
+st.sidebar.write("**Goals:**")
+for goal in agent.goals:
+    st.sidebar.write(f"- {goal}")
+
+# Main input and interaction loop
+conversation_history = []
+user_input = st.text_input("Type your question or command here:")
+
+if user_input:
+    conversation_history.append(("User", user_input))
+
+start_agent_button = st.button("Start Agent")
+
+def simulate_agent_cli(agent, user_input):
+    response = agent.ask(user_input)
+    return response
+
+if start_agent_button and conversation_history:
+    user_input = conversation_history[-1][1]
+    response = simulate_agent_cli(agent, user_input)
+    conversation_history.append((agent.name, response))
+    st.write(f"{agent.name}: {response}")
+
+st.write("### Conversation History")
+for speaker, message in conversation_history:
+    st.write(f"{speaker}: {message}")