app.py

import os
import getpass

import sentence_transformers

import streamlit as st


# Streamlit UI
st.title("🔍 IBM Watson RAG Chatbot")

# User input in Streamlit
question = st.text_input("Enter your question:")

if question:
    # Retrieve relevant grounding context
    grounding = RAG_proximity_search(question)

    # Format the question with retrieved context
    formatted_question = f"""<|start_of_role|>user<|end_of_role|>Use the following pieces of context to answer the question.

{grounding}

Question: {question}<|end_of_text|>
<|start_of_role|>assistant<|end_of_role|>"""

    # Placeholder for a prompt input (Optional)
    prompt_input = ""  # Set this dynamically if needed
    prompt = f"""{prompt_input}{formatted_question}"""

    # Simulated AI response (Replace with actual model call)
    generated_response = f"AI Response based on: {prompt}"

    # Display results
    st.subheader("📌 Retrieved Context")
    st.write(grounding)

    st.subheader("🤖 AI Response")
    st.write(generated_response)