Create app.py

app.py

@@ -0,0 +1,89 @@
+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()