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import streamlit as st
import requests
def generate_more_factors(problem_statement, user_factors):
# 1. Prepare prompt text
factors_text = "\n".join([f"- {factor}" for factor in user_factors if factor.strip() != ""])
prompt = (
f"You are an expert problem solver. Given the following problem statement:\n"
f"{problem_statement}\n\n"
f"And the following user-provided factors:\n"
f"{factors_text}\n\n"
f"Please suggest additional factors that would complete a MECE (Mutually Exclusive, Collectively Exhaustive) "
f"set of factors responsible for solving the problem. Provide your suggestions as a bullet list."
)
# 2. Call Hugging Face inference API (using a sample model; replace as needed)
API_URL = "https://api-inference.huggingface.co/models/gpt2"
token = st.secrets.get("HF_API_TOKEN", "")
headers = {"Authorization": f"Bearer {token}"} if token else {}
response = requests.post(API_URL, headers=headers, json={"inputs": prompt})
if response.status_code == 200:
result = response.json()
if isinstance(result, list) and result and "generated_text" in result[0]:
generated = result[0]["generated_text"]
# Remove the prompt from the generated output
suggestions = generated[len(prompt):].strip()
return suggestions
else:
return "Unexpected response format."
else:
return f"Error: {response.status_code} - {response.text}"
def main():
st.title("Problem Statement and Factor Guess")
st.write("Enter your problem statement and factors. The UI is organized into four horizontal levels:")
# Initialize session state variables
if "factor_rows" not in st.session_state:
st.session_state.factor_rows = [""]
if "llm_suggestions" not in st.session_state:
st.session_state.llm_suggestions = None
# Create four columns for the four levels
col1, col2, col3, col4 = st.columns(4)
# Level 1: Problem Statement (Left-most column)
with col1:
st.header("Level 1: Problem Statement")
problem_statement = st.text_input("Enter your problem statement:")
# Level 2: User-Provided Factors
with col2:
st.header("Level 2: Your Factors")
factor_inputs = []
for i in range(len(st.session_state.factor_rows)):
key = f"factor_{i}"
value = st.text_input(f"Factor {i+1}", value=st.session_state.factor_rows[i], key=key)
factor_inputs.append(value)
st.session_state.factor_rows[i] = value
if st.button("Add Factor Row", key="add_row"):
st.session_state.factor_rows.append("")
try:
st.experimental_rerun()
except AttributeError:
st.write("Row added. Please refresh the page to see the new row.")
# Level 3: Generate More Factors Button
with col3:
st.header("Level 3: Generate More Factors")
if st.button("Generate More Factors", key="generate_factors"):
if not problem_statement.strip():
st.error("Please enter a problem statement before generating factors.")
else:
with st.spinner("Generating more factors..."):
suggestions = generate_more_factors(problem_statement, factor_inputs)
st.session_state.llm_suggestions = suggestions
# Level 4: LLM Suggestions Display
with col4:
st.header("Level 4: LLM Suggestions")
if st.session_state.llm_suggestions:
st.write(st.session_state.llm_suggestions)
else:
st.write("LLM suggestions will appear here after you click 'Generate More Factors'.")
if __name__ == "__main__":
main()
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