User: User: Please provide a very brief summary of the following code.
__CODE_BLOCK__{"code":"import logging\nimport ast\nfrom fastapi import FastAPI, HTTPException\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom pydantic import BaseModel\nfrom gradio_client import Client\nimport uuid\nfrom typing import Dict, List\n\n# Configure logging\nlogging.basicConfig(level=logging.INFO)\nlogger = logging.getLogger()\n\napp = FastAPI()\n\n# Configure CORS\napp.add_middleware(\n    CORSMiddleware,\n    allow_origins=[\"*\"],  # Adjust this in production for security\n    allow_credentials=True,\n    allow_methods=[\"*\"],\n    allow_headers=[\"*\"],\n)\n\n# Initialize the Gradio Client\n# Depending on whether the client maintains state, you might need one per session\n# For this example, we'll assume it's stateless or handles multiple sessions\nclient = Client(\"yuntian-deng/o1mini\")\n\n# Data model for messages\nclass Message(BaseModel):\n    session_id: str = None  # Optional; if not provided, create a new session\n    text: str\n\n# Define a type for session histories\nConversationHistory = Dict[str, List[str]]\n\n# In-memory store for conversation histories\n# For production, consider using a persistent store like Redis or a database\nconversation_histories: ConversationHistory = {}\n\ndef extract_latest_response(raw_response):\n    try:\n        # Remove the log tags and extract the content\n        content = raw_response.replace('<log>\\nINFO:root:Raw response from Gradio Client: ', '').replace('\\n</log>', '')\n        \n        # Parse the content as a Python tuple\n        parsed_content = ast.literal_eval(content)\n        \n        # Extract the first element of the tuple (the list of messages)\n        messages = parsed_content[0]\n        \n        # Get the last message in the list\n        last_message = messages[-1]\n        \n        # The response is the second element of the last message tuple\n        response = last_message[1]\n        \n        return response\n    except Exception as e:\n        logger.error(f\"Error extracting response: {str(e)}\")\n        return \"Sorry, I encountered an error processing your request.\"\n\<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>(\"/api/chat\")\nasync def chat(message: Message):\n    try:\n        # If no session_id is provided, create a new one\n        if not message.session_id:\n            session_id = str(uuid.uuid4())\n            conversation_histories[session_id] = []\n            logger.info(f\"Created new session: {session_id}\")\n        else:\n            session_id = message.session_id\n            if session_id not in conversation_histories:\n                # Handle invalid session_id\n                raise HTTPException(status_code=400, detail=\"Invalid session_id.\")\n        \n        # Append the user's message to the conversation history\n        conversation_histories[session_id].append(f\"User: {message.text}\")\n        logger.info(f\"Session {session_id} | User: {message.text}\")\n        \n        # Prepare the prompt by joining the history\n        prompt = \"\\n\".join(conversation_histories[session_id])\n        \n        # Send the prompt to the AI model\n        response = client.predict(prompt, api_name=\"/predict\")\n        logger.info(f\"Session {session_id} | Raw response: {response}\")\n        \n        # Extract the latest response\n        extracted_response = extract_latest_response(str(response))\n        logger.info(f\"Session {session_id} | AI: {extracted_response}\")\n        \n        # Append the AI's response to the conversation history\n        conversation_histories[session_id].append(f\"AI: {extracted_response}\")\n        \n        return {\"session_id\": session_id, \"response\": extracted_response}\n    except HTTPException as he:\n        raise he\n    except Exception as e:\n        logger.error(f\"Error processing chat request: {str(e)}\", exc_info=True)\n        raise HTTPException(status_code=500, detail=\"Internal Server Error.\")\n\<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>(\"/api/reset\")\nasync def reset_chat():\n    try:\n        # Generate a new session_id\n        session_id = str(uuid.uuid4())\n        conversation_histories[session_id] = []\n        logger.info(f\"Reset chat. New session created: {session_id}\")\n        return {\"session_id\": session_id, \"status\": \"Chat has been reset.\"}\n    except Exception as e:\n        logger.error(f\"Error resetting chat: {str(e)}\", exc_info=True)\n        raise HTTPException(status_code=500, detail=\"Failed to reset chat.\")","language":"py:main.py","filename":"main.py"}__END_CODE_BLOCK__