Update app.py

app.py

@@ -1,23 +1,72 @@
 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
+    # Replace 'gpt2' with another model if 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]:
+            # Remove the prompt from the generated output if it is repeated.
+            generated = result[0]["generated_text"]
+            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("Provide your problem statement and suggest factors (one per row). You can add additional rows as needed.")
+
+    # 1. Problem Statement
+    problem_statement = st.text_input("1. Enter your problem statement:")
 
-    st.write("Please provide the following information:")
+    st.write("2. Enter your factors (each factor in a separate textbox):")
 
-    with st.form(key="input_form", clear_on_submit=True):
-        # 1. Problem Statement
-        problem_statement = st.text_input("1. Enter your problem statement:")
+    # 2. Dynamic factor inputs stored in session_state
+    if "factor_rows" not in st.session_state:
+        st.session_state.factor_rows = [""]
 
-        # 2. Factors Guess
-        factors = st.text_area("2. Enter your guess for the factors used to resolve this problem:")
+    factor_inputs = []
+    for i in range(len(st.session_state.factor_rows)):
+        key = f"factor_{i}"
+        # Display a text input for each factor row.
+        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
 
-        submit_button = st.form_submit_button("Submit")
+    # 3. Button to add more rows
+    if st.button("Add Factor Row"):
+        st.session_state.factor_rows.append("")
+        st.experimental_rerun()
 
-    if submit_button:
-        st.markdown("### Your Submission")
-        st.write("**Problem Statement:**", problem_statement)
-        st.write("**Factors:**", factors)
+    # 4. Button to generate more factors using the LLM
+    if st.button("Generate More Factors"):
+        if not problem_statement.strip():
+            st.error("Please enter a problem statement before generating additional factors.")
+        else:
+            with st.spinner("Generating more factors..."):
+                suggestions = generate_more_factors(problem_statement, factor_inputs)
+            st.markdown("### Generated Factors")
+            st.write(suggestions)
 
 if __name__ == "__main__":
     main()