src/streamlit_app.py

import streamlit as st
import os
from crewai import Agent, Task, Crew

st.set_page_config(page_title="CrewAI Fix", layout="wide")
st.title("CrewAI Clean Encoding Version")

with st.sidebar:
    hf_token = st.text_input("Hugging Face Token", type="password")

if st.button("Run"):
    if not hf_token:
        st.error("Please enter a token.")
    else:
        # Use the variable name LiteLLM expects
        os.environ["HUGGINGFACE_API_KEY"] = hf_token
        
        # Use a reliable model string
        model_id = "huggingface/Qwen/Qwen2.5-7B-Instruct"

        try:
            # 1. AGENTS (Ensure NO emojis or special symbols here)
            analyst = Agent(
                role='Technical Researcher',
                goal='Summarize the benefits of AI agents.',
                backstory='A professional software engineer focused on automation.',
                llm=model_id,
                verbose=True,
                allow_delegation=False
            )

            # 2. TASKS (Keep text plain and simple)
            simple_task = Task(
                description="List two major benefits of AI orchestration.",
                expected_output="A two-sentence summary.",
                agent=analyst
            )

            # 3. CREW
            crew = Crew(
                agents=[analyst],
                tasks=[simple_task]
            )

            with st.spinner("Processing..."):
                result = crew.kickoff()
                st.success("Execution Successful!")
                st.write(str(result))
                
        except Exception as e:
            st.error(f"Error: {e}")