Spaces:
Running
Running
| import io | |
| import sys | |
| import streamlit as st | |
| from agent import multi_agent_framework | |
| # Define the multi agent framework | |
| model_id = "Qwen/Qwen2.5-Coder-32B-Instruct" | |
| agent = multi_agent_framework(model_id) | |
| # Function to log agent actions | |
| def log_agent_action(prompt, activity, result): | |
| st.write(f"### Agent Activity") | |
| st.write("**Prompt Sent to Agent:**") | |
| st.code(prompt, language="text") | |
| st.write("**Agent Activity:**") | |
| st.code(activity, language="text") | |
| st.write("**Agent Output:**") | |
| st.code(result, language="text") | |
| # Streamlit app title | |
| st.title("Multi Agent GPT") | |
| # App description | |
| st.write("Generate creative content, search the web and generate images enriched with the power of MultiAgent framework") | |
| # Input blog topic or prompt | |
| user_prompt = st.text_area("How may I help you?:", placeholder="E.g., Generate me a picture of cute puppy") | |
| # Button to generate content | |
| if st.button("Generate"): | |
| if user_prompt: | |
| with st.spinner("Generating content with our Multi agents"): | |
| try: | |
| # Run the agent with the given prompt | |
| buffer = io.StringIO() | |
| sys.stdout = buffer | |
| result = agent.run(user_prompt) | |
| # Display the generated content | |
| st.subheader("Generated Content:") | |
| st.write(result) | |
| # Log backend activity | |
| sys.stdout = sys.__stdout__ | |
| activity = buffer.getvalue() | |
| log_agent_action(user_prompt, activity, result) | |
| except Exception as e: | |
| st.error(f"An error occurred: {e}") | |
| else: | |
| st.warning("Please enter a prompt to proceed.") | |
| # Footer | |
| st.markdown("---") | |
| st.caption("Powered by SmolAgents, DuckDuckGo, black-forest-labs and Streamlit") |