User: User: Analyse the following code:
<code fileName="untitled" notes="">
import logging
import ast
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from gradio_client import Client
import uuid
from typing import Dict, List

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

app = FastAPI()

# Configure CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # Adjust this in production for security
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Initialize the Gradio Client
# Depending on whether the client maintains state, you might need one per session
# For this example, we'll assume it's stateless or handles multiple sessions
client = Client("yuntian-deng/o1mini")

# Data model for messages
class Message(BaseModel):
    session_id: str = None  # Optional; if not provided, create a new session
    text: str

# Define a type for session histories
ConversationHistory = Dict[str, List[str]]

# In-memory store for conversation histories
# For production, consider using a persistent store like Redis or a database
conversation_histories: ConversationHistory = {}

def extract_latest_response(raw_response):
    try:
        # Remove the log tags and extract the content
        content = raw_response.replace('<log>\nINFO:root:Raw response from Gradio Client: ', '').replace('\n</log>', '')
        
        # Parse the content as a Python tuple
        parsed_content = ast.literal_eval(content)
        
        # Extract the first element of the tuple (the list of messages)
        messages = parsed_content[0]
        
        # Get the last message in the list
        last_message = messages[-1]
        
        # The response is the second element of the last message tuple
        response = last_message[1]
        
        return response
    except Exception as e:
        logger.error(f"Error extracting response: {str(e)}")
        return "Sorry, I encountered an error processing your request."

@app.post("/api/chat")
async def chat(message: Message):
    try:
        # If no session_id is provided, create a new one
        if not message.session_id:
            session_id = str(uuid.uuid4())
            conversation_histories[session_id] = []
            logger.info(f"Created new session: {session_id}")
        else:
            session_id = message.session_id
            if session_id not in conversation_histories:
                # Handle invalid session_id
                raise HTTPException(status_code=400, detail="Invalid session_id.")
        
        # Append the user's message to the conversation history
        conversation_histories[session_id].append(f"User: {message.text}")
        logger.info(f"Session {session_id} | User: {message.text}")
        
        # Prepare the prompt by joining the history
        prompt = "\n".join(conversation_histories[session_id])
        
        # Send the prompt to the AI model
        response = client.predict(prompt, api_name="/predict")
        logger.info(f"Session {session_id} | Raw response: {response}")
        
        # Extract the latest response
        extracted_response = extract_latest_response(str(response))
        logger.info(f"Session {session_id} | AI: {extracted_response}")
        
        # Append the AI's response to the conversation history
        conversation_histories[session_id].append(f"AI: {extracted_response}")
        
        return {"session_id": session_id, "response": extracted_response}
    except HTTPException as he:
        raise he
    except Exception as e:
        logger.error(f"Error processing chat request: {str(e)}", exc_info=True)
        raise HTTPException(status_code=500, detail="Internal Server Error.")

@app.post("/api/reset")
async def reset_chat():
    try:
        # Generate a new session_id
        session_id = str(uuid.uuid4())
        conversation_histories[session_id] = []
        logger.info(f"Reset chat. New session created: {session_id}")
        return {"session_id": session_id, "status": "Chat has been reset."}
    except Exception as e:
        logger.error(f"Error resetting chat: {str(e)}", exc_info=True)
        raise HTTPException(status_code=500, detail="Failed to reset chat.")
</code>