import streamlit as st
import requests
import logging

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Set page configuration
st.set_page_config(
    page_title="DeepSeek Chatbot",
    page_icon="🤖",
    layout="wide"
)

# Initialize session state for chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# Sidebar for model configuration
st.sidebar.title("⚙️ Settings")

# Model selection
model_options = ["deepseek-ai/DeepSeek-R1-Distill-Qwen-32B"]
selected_model = st.sidebar.selectbox("Select AI Model", model_options)

# System message input
system_message = st.sidebar.text_area(
    "System Message",
    value="You are a friendly chatbot. Provide clear and engaging responses.",
    height=80
)

# Chat configuration settings
max_tokens = st.sidebar.slider("Max Tokens", 10, 4000, 300)
temperature = st.sidebar.slider("Temperature", 0.1, 2.0, 0.7)
top_p = st.sidebar.slider("Top-p", 0.1, 1.0, 0.9)

# Function to query the Hugging Face API
def query(payload, api_url):
    headers = {"Authorization": f"Bearer {st.secrets['HF_TOKEN']}"}
    try:
        response = requests.post(api_url, headers=headers, json=payload)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as e:
        logger.error(f"Request Error: {e}")
        return None

# Main Chat Interface
st.title("🤖 DeepSeek Chatbot")
st.write("Chat with an AI-powered assistant.")

# Display chat history
for message in st.session_state.messages:
    role = "🧑‍💻 You" if message["role"] == "user" else "🤖 AI"
    st.markdown(f"**{role}:** {message['content']}")

# Handle user input
if prompt := st.chat_input("Type your message..."):
    st.session_state.messages.append({"role": "user", "content": prompt})
    st.markdown(f"**🧑‍💻 You:** {prompt}")

    try:
        with st.spinner("Generating response..."):
            full_prompt = f"{system_message}\n\nUser: {prompt}\nAssistant:"
            payload = {
                "inputs": full_prompt,
                "parameters": {
                    "max_new_tokens": max_tokens,
                    "temperature": temperature,
                    "top_p": top_p,
                    "return_full_text": False
                }
            }

            api_url = f"https://api-inference.huggingface.co/models/{selected_model}"
            output = query(payload, api_url)

            if output and isinstance(output, list) and 'generated_text' in output[0]:
                assistant_response = output[0]['generated_text'].strip()
                assistant_response = assistant_response.replace("</think>", "").strip()
                st.markdown(f"**🤖 AI:** {assistant_response}")
                st.session_state.messages.append({"role": "assistant", "content": assistant_response})
            else:
                st.error("Unable to generate a response. Please try again.")

    except Exception as e:
        logger.error(f"Application Error: {str(e)}", exc_info=True)
        st.error(f"Error: {str(e)}")