from typing import List, Optional, Tuple, Dict
import os
import json
from openai import OpenAI
from dotenv import load_dotenv
import asyncio
import regex as re
from gradio_modal import Modal
import gradio as gr
import time
from concurrent.futures import ThreadPoolExecutor


# Load environment variables from .env file
load_dotenv()

from suno import make_song, concat_snippets, update_song_links
from gpt_calls import AI_Songwriter
from utils.song_utils import messages_to_history

History = List[Tuple[str, str]] # a type: pairs of (query, response), where query is user input and response is system output
Messages = List[Dict[str, str]] # a type: list of messages with role and content

client_key = os.getenv("OPEN_AI_KEY")
# print(client_key)
oai_client = OpenAI(
    api_key=client_key,
)

def determine_title(section_name, generated_audios):
    count = sum(1 for audio in generated_audios if audio[2].startswith(section_name))
    if count > 0:
        section_name = f"{section_name} {count + 1}"
    return section_name

async def call_with_timeout(coro, timeout=45):
    try:
        return await asyncio.wait_for(coro, timeout)
    except asyncio.TimeoutError:
        return "Timeout"

executor = ThreadPoolExecutor()

async def run_in_executor(func, *args):
    loop = asyncio.get_event_loop()
    return await loop.run_in_executor(executor, func, *args)


async def model_chat(genre_input, query: Optional[str], history: Optional[History], messages: Optional[Messages], generated_audios: List[Tuple[str, str, str]], auto=False) -> Tuple[str, History, Messages, str, str, str, str, str, List]:
    if query is None:
        query = ''
    with open('ai_tools.json') as f:
        ai_tools = json.load(f)

    songwriterAssistant = AI_Songwriter(client_key=client_key)

    if auto:
        messages = messages[:-1] + [{'role': 'user', 'content': query}] #should this be a -1? for non-auto. why does the chatbot history get messed up?
    else:
        messages = messages + [{'role': 'user', 'content': query}]


    messages_filtered = messages.copy()
    response_message = oai_client.chat.completions.create(
        model="gpt-4o",
        messages=messages_filtered,
        tools = ai_tools,
        tool_choice="required",
    )
    print(response_message, "model chat response")
    current_response = ""
    # Step 2: determine if the response from the model includes a tool call.   
    tool_calls = response_message.choices[0].message.tool_calls
    if tool_calls:
        try:

            messages.append({
                "role": response_message.choices[0].message.role,
                "content": response_message.choices[0].message.content,
                "tool_calls": tool_calls,
                "function_call": response_message.choices[0].message.function_call
            })

            if len(tool_calls) > 1:
                for tool_call in tool_calls:
                    tool_message = {
                        'role': 'tool',
                        'tool_call_id': tool_call.id,
                        'name': tool_call.function.name,
                        'content': "You called two different functions when you can only call one at a time. Did you mean to call revise_section_lyrics_and_instrumental but instead had two different calls for lyrics and instrumental? Communicate this failure to the user and clarify what they are asking for, then only call one tool next time."
                    }
                    messages.append(tool_message)

                # Generate a response using GPT-4o and add it as a message
                model_response_with_function_call = oai_client.chat.completions.create(
                    model="gpt-4o",
                    messages=messages,
                )
                current_response = model_response_with_function_call.choices[0].message.content

                role = "assistant"
                messages.append({'role': role, 'content': current_response})

                yield '', messages_to_history(messages), messages, '', '', '', '', None, generated_audios, []
                return


            # If true the model will return the name of the tool / function to call and the argument(s)  
            for tool_call in tool_calls:
                print(tool_call)
                tool_call_id = tool_call.id
                tool_function_name = tool_call.function.name
                tool_query_args = eval(tool_call.function.arguments)

                print(tool_function_name, tool_query_args)

                with open('ai_tools.json') as f:
                    ai_tools = json.load(f)
                
                for tool in ai_tools:
                    if tool['function']['name'] == tool_function_name:
                        valid_keys = tool['function']['parameters']['properties'].keys()
                        required_keys = tool['function']['parameters']['required']
                        break
                
                print('query args before', tool_query_args)
                tool_query_args = {k: v for k, v in tool_query_args.items() if k in valid_keys}
                print('query args after', tool_query_args)
                missing_keys = []
                for key in required_keys:
                    if key not in tool_query_args:
                        missing_keys.append(key)
                if len(missing_keys)>0:
                    missing_keys_str = ", ".join(missing_keys)
                    tool_message = {
                        'role': 'tool',
                        'tool_call_id': tool_call_id,
                        'name': tool_function_name,
                        'content': f"Sorry, the keys {missing_keys_str} from the function you called are missing, communicate this to the user and either get what these args should be or figure out which function to call."
                    }

                    new_messages = messages + [tool_message]

                    model_response_with_function_call = oai_client.chat.completions.create(
                        model="gpt-4o",
                        messages=new_messages,
                    )  # get a new response from the model where it can see the function response
                    current_response = model_response_with_function_call.choices[0].message.content

                    role = "assistant"
                    new_messages = new_messages + [{'role': role, 'content': current_response}]
                    new_history = messages_to_history(new_messages)

                    generated_audios = update_song_links(generated_audios)
                    yield '', new_history, new_messages, '', '', '', '', None, generated_audios, []
                            
                            
                # Step 3: Call the function and retrieve results. Append the results to the messages list. 
                if tool_function_name == 'ask_question':
                    question = songwriterAssistant.ask_question(messages)

                    question = question.replace("ask question:", "").replace("ask question ", "").replace("ask question\n", "").replace("ask question", "")

                    ## yield question in tool and assistant message
                    tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': question}

                    new_messages = messages + [tool_message]

                    question_message = {'role': 'assistant', 'content': question}
                    new_messages = new_messages + [question_message]
                    new_history = messages_to_history(new_messages)

                    generated_audios = update_song_links(generated_audios)
                    yield '', new_history, new_messages, '', '', '', '', None, generated_audios, []
                
                elif tool_function_name == 'edit_directly':
                    edit_type = tool_query_args.get('edit_type', 'item')
                    current_item_to_edit = tool_query_args.get('current_item_to_edit', '')

                    content_message = f"Sure, you can edit the {edit_type}. Here you go, edit and submit your new version in the chat textbox!"
                    tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': content_message}

                    new_messages = messages + [tool_message]

                    assistant_message = {'role': 'assistant', 'content': content_message}
                    new_messages = new_messages + [assistant_message]
                    new_history = messages_to_history(new_messages)

                    generated_audios = update_song_links(generated_audios)
                    yield f"Here are my edits:\n{current_item_to_edit}", new_history, new_messages, '', '', '', '', None, generated_audios, []
                
                # elif tool_function_name == 'clarify_arguments':
                #     tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': 'arguments to clarify: \n' + '\n'.join(tool_query_args['arguments_to_clarify'])}

                #     new_messages = messages + [tool_message]

                #     model_response_with_function_call = oai_client.chat.completions.create(
                #         model="gpt-4o",
                #         messages=new_messages,
                #     )  # get a new response from the model where it can see the function response
                #     current_response = model_response_with_function_call.choices[0].message.content

                #     role = "assistant"
                #     new_messages = new_messages + [{'role': role, 'content': current_response}] # + "\n\nWould you like to get an audio snippet? Or continue writing?"}]
                #     # new_messages = [msg for msg in new_messages if msg['content'] is not None and msg['role'] in ['user', 'assistant']]
                #     new_history = messages_to_history(new_messages)

                #     generated_audios = update_song_links(generated_audios)
                #     yield '', new_history, new_messages, '', '', '', '', None, generated_audios, []

                
                elif tool_function_name == 'write_section':
                    snippet_instrumental_tags = tool_query_args.pop('snippet_instrumental_tags', None)
                    snippet_clip_to_continue_from = tool_query_args.pop('snippet_clip_to_continue_from', None)
                    suggested_lyrics = songwriterAssistant.write_section(**tool_query_args)
                    suggested_lyrics = suggested_lyrics.strip('`*-\n')

                    ## yield suggested lyrics in tool and assistant message
                    tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': suggested_lyrics}
                    # audio_message = {'role': 'assistant', 'content': "Here's what I've come up with:\n" + suggested_lyrics + "\n\nGenerating audio snippet..."}
                    new_messages = messages + [tool_message] #, audio_message

                    model_response_with_function_call = oai_client.chat.completions.create(
                        model="gpt-4o",
                        messages=new_messages,
                    )  # get a new response from the model where it can see the function response
                    current_response = model_response_with_function_call.choices[0].message.content

                    role = "assistant"
                    new_messages = new_messages + [{'role': role, 'content': current_response}] # + "\n\nWould you like to get an audio snippet? Or continue writing?"}]
                    # new_messages = [msg for msg in new_messages if msg['content'] is not None and msg['role'] in ['user', 'assistant']]
                    history = messages_to_history(new_messages)

                    # current_section, current_lyrics, curr_tags, clip_to_continue, curr_audio
                    buttons = ["revise lyrics",  "edit lyrics directly", "generate audio snippet", "continue to next section"]

                    generated_audios = update_song_links(generated_audios)
                    clips_to_continue = gr.Dropdown(label='Clip to continue', value = snippet_clip_to_continue_from, choices=[x[3] for x in generated_audios]+[""], interactive=True)



                    yield '', history, new_messages, tool_query_args['section_name'], suggested_lyrics.split(':')[-1], snippet_instrumental_tags, clips_to_continue, None, generated_audios, buttons

                    ### DO SOMETHING TO UPDATE CURRENT GENERATION for write_section


                elif tool_function_name == 'revise_section_lyrics':
                    revised_lyrics = songwriterAssistant.revise_section_lyrics(**tool_query_args)

                    # if isinstance(revised_lyrics, list):
                    #     revised_lyrics = '\n'.join(revised_lyrics)
                    if isinstance(revised_lyrics, str) and revised_lyrics.startswith("[") and revised_lyrics.endswith("]"):
                        try:
                            revised_lyrics = eval(revised_lyrics)
                            if isinstance(revised_lyrics, list):
                                revised_lyrics = '\n'.join(revised_lyrics)
                        except:
                            pass

                    # ## yield revised lyrics in tool and assistant message
                    tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': revised_lyrics}
                    # audio_message = {'role': 'assistant', 'content': "Here's my revised lyrics:\n" + revised_lyrics + "\n\nGenerating audio snippet..."}
                    new_messages = messages + [tool_message] #, audio_message]

                    model_response_with_function_call = oai_client.chat.completions.create(
                        model="gpt-4o",
                        messages=new_messages,
                    )  # get a new response from the model where it can see the function response
                    current_response = model_response_with_function_call.choices[0].message.content

                    buttons = ["re-revise lyrics", "edit lyrics directly", "generate audio snippet with new lyrics", "continue to next section"]

                    role = "assistant"
                    new_messages = new_messages + [{'role': role, 'content': current_response + "\n\nWould you like to get an audio snippet? Or continue writing?"}]
                    # new_messages = [msg for msg in new_messages if msg['content'] is not None and msg['role'] in ['user', 'assistant']]
                    history = messages_to_history(new_messages)
                    generated_audios = update_song_links(generated_audios)
                    clips_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=[x[3] for x in generated_audios]+[""], interactive=True)

                    yield '', history, new_messages, tool_query_args['section_name'], revised_lyrics, '', clips_to_continue, None, generated_audios, buttons


                elif tool_function_name == 'revise_instrumental_tags':
                    #detangle tool_query_args dict
                    #snippet_lyrics = tool_query_args['snippet_lyrics'] + "\n[End]"
                    snippet_instrumental_tags = tool_query_args.get('current_instrumental_tags', None)
                    user_instrumental_feedback = tool_query_args.get('user_instrumental_feedback', None)

                    if snippet_instrumental_tags is None or user_instrumental_feedback is None:
                        tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': 'Arguments are missing. Please clarify your feedback on the instrumental. Note that you cannot revise the genre if you haven\'t generated a snippet.'}
                        audio_message = {'role': 'assistant', 'content': 'It seems like some information is missing. Could you please provide your feedback on the instrumental? Note that you cannot revise the genre if you haven\'t generated a snippet.'}
                        new_messages = messages + [tool_message, audio_message]
                        new_history = messages_to_history(new_messages)
                        yield '', new_history, new_messages, '', '', '', None, None, generated_audios, []
                        return
                    # if 'snippet_clip_to_continue_from' not in tool_query_args:
                    #     tool_query_args['snippet_clip_to_continue_from'] = None
                    # snippet_clip_to_continue_from = tool_query_args['snippet_clip_to_continue_from']

                    new_instrumental_tags = songwriterAssistant.revise_instrumental_tags(snippet_instrumental_tags, user_instrumental_feedback)

                    if isinstance(tool_query_args['sections_written'], str):
                        current_lyrics = tool_query_args['sections_written']
                    elif isinstance(tool_query_args['sections_written'], list):
                        current_lyrics = "\n".join(tool_query_args['sections_written'])
                    else:
                        current_lyrics = ""

                    import re
                    sections_list = re.findall(r'\[.*?\]', current_lyrics)

                    #current_lyrics = "\n".join(tool_query_args['sections_written'])
                    song_link = await call_with_timeout(run_in_executor(make_song, current_lyrics, new_instrumental_tags), 45)
                    ## filter out suno link from tool query arg
                    while "https://audiopipe.suno.ai/?item_id=" not in song_link:
                        print("BUGGED OUT, trying again...")
                        if song_link == "Timeout":
                            tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': 'The request to generate the song timed out. Please try again.'}
                            audio_message = {'role': 'assistant', 'content': 'The request to generate the song timed out. Try again later or rephrase your request.'}
                            new_messages = messages + [tool_message, audio_message]
                            new_history = messages_to_history(new_messages)
                            yield '', new_history, new_messages, '', '', '', None, None, generated_audios, []
                            return
                        time.sleep(5)
                        song_link = await call_with_timeout(run_in_executor(make_song, current_lyrics, new_instrumental_tags), 45)

                    clip_id = song_link.split("https://audiopipe.suno.ai/?item_id=")[1]

                    tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': f'new instrumental tags: {new_instrumental_tags}, clip id: {clip_id}'}
                    audio_message = {'role': 'assistant', 'content': f'Sure! I\'ve revised the instrumental tags: {new_instrumental_tags}\nCurrent lyrics: {current_lyrics}\n\n <audio controls autoplay><source src="{song_link}" type="audio/mp3"></audio>'}
                    audio_message['content'] += f'\n\nWhat do you think?'
                    new_messages = messages + [tool_message, audio_message]
                    new_history = messages_to_history(new_messages)

                    # current_section, current_lyrics, curr_tags, clip_to_continue, curr_audio
                    if len(sections_list) > 0:
                        section_name = f"Up to {sections_list[-1]}"
                    else:
                        section_name = "Up to latest section"
                    section_name = determine_title(section_name, generated_audios)

                    generated_audios.append((song_link, current_lyrics, new_instrumental_tags, section_name, "streaming"))
                    generated_audios = update_song_links(generated_audios)
                    clips_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=[x[3] for x in generated_audios]+[""], interactive=True)

                    buttons = ["return to original instrumental", "re-revise genre", "edit genre directly", "revise lyrics", "merge snippets", "continue to next section"]

                    yield '', new_history, new_messages, ', '.join(sections_list), current_lyrics, new_instrumental_tags, clips_to_continue, f'<audio controls><source src="{song_link}" type="audio/mp3"></audio>', generated_audios, buttons
                elif tool_function_name == 'revise_section_lyrics_and_instrumental':
                    snippet_instrumental_tags = tool_query_args.pop('current_instrumental_tags', None)
                    user_instrumental_feedback = tool_query_args.pop('user_instrumental_feedback', None)
                    snippet_clip_to_continue_from = tool_query_args.pop('snippet_clip_to_continue_from', None)
                    
                    # Revise section lyrics
                    revised_lyrics = songwriterAssistant.revise_section_lyrics(**tool_query_args)
                    
                    # Revise instrumental tags
                    
                    new_instrumental_tags = songwriterAssistant.revise_instrumental_tags(snippet_instrumental_tags, user_instrumental_feedback)

                    song_link = await call_with_timeout(run_in_executor(make_song, current_lyrics, new_instrumental_tags), 45)
                    ## filter out suno link from tool query arg
                    while "https://audiopipe.suno.ai/?item_id=" not in song_link:
                        print("BUGGED OUT, trying again...")
                        if song_link == "Timeout":
                            tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': 'The request to generate the song timed out. Please try again.'}
                            audio_message = {'role': 'assistant', 'content': 'The request to generate the song timed out. Try again later or rephrase your request.'}
                            new_messages = messages + [tool_message, audio_message]
                            new_history = messages_to_history(new_messages)
                            yield '', new_history, new_messages, '', '', '', None, None, generated_audios, []
                            return
                        time.sleep(5)
                        song_link = await call_with_timeout(run_in_executor(make_song, current_lyrics, new_instrumental_tags), 45)
                    clip_id = song_link.split("https://audiopipe.suno.ai/?item_id=")[1]

                    tool_message_instrumental = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': f'revised lyrics: {revised_lyrics}\nrevised instrumental tags: {new_instrumental_tags}, clip id: {clip_id}'}
                    audio_message = {'role': 'assistant', 'content': f'Sure! I\'ve revised the lyrics and instrumental tags: {revised_lyrics}\nRevised lyrics: {revised_lyrics}\n\n <audio controls autoplay><source src="{song_link}" type="audio/mp3"></audio>'}
                    audio_message['content'] += f'\n\nWhat do you think?'
                    
                    new_messages = messages + [tool_message_instrumental, audio_message]
                    new_history = messages_to_history(new_messages)

                    generated_audios.append((song_link, revised_lyrics, new_instrumental_tags, tool_query_args["section_name"], "streaming"))
                    generated_audios = update_song_links(generated_audios)
                    clips_to_continue = gr.Dropdown(label='Clip to continue', value = snippet_clip_to_continue_from, choices=[x[3] for x in generated_audios]+[""], interactive=True)

                    buttons = ["return to original instrumental", "re-revise genre", "edit genre directly", "revise lyrics", "edit lyrics directly", "merge snippets", "continue to next section"]

                    yield '', new_history, new_messages, tool_query_args["section_name"], revised_lyrics, new_instrumental_tags, clips_to_continue, f'<audio controls><source src="{song_link}" type="audio/mp3"></audio>', generated_audios, buttons
                
                elif tool_function_name == 'merge_all_snippets':
                    updated_clip_url, updated_lyrics, updated_tags, clips_list = await call_with_timeout(run_in_executor(concat_snippets, tool_query_args['last_snippet_id']), 45)

                    if updated_clip_url == "Timeout":
                        # Handle the timeout case
                        tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': 'The operation timed out. Please try again later.'}
                        audio_message = {'role': 'assistant', 'content': 'The concatenation operation took too long and was stopped. Please try again later or rephrase your request.'}
                        new_messages = messages + [tool_message, audio_message]
                        new_history = messages_to_history(new_messages)
                        yield '', new_history, new_messages, '', '', '', None, None, generated_audios, []
                        return
                    
                    if "still streaming" in updated_clip_url:
                        tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': f'still streaming, try again later'}
                        audio_message = {'role': 'assistant', 'content': f'Unfortunately the generated clip audio is still being streamed, so you can merge later when it is fully generated.'}

                        new_messages = messages + [tool_message, audio_message]
                        new_history = messages_to_history(new_messages)

                        clips_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=[x[3] for x in generated_audios]+[""], interactive=True)


                        yield '', new_history, new_messages, "", "", "", clips_to_continue, None, generated_audios, []

                    else:
                        if "https://audiopipe.suno.ai/?item_id=" in updated_clip_url:
                            updated_clip_id = updated_clip_url.split("https://audiopipe.suno.ai/?item_id=")[1]
                        elif "https://cdn1.suno.ai/" in updated_clip_url:
                            updated_clip_id = updated_clip_url.split("https://cdn1.suno.ai/")[1].split(".mp3")[0]
                        else:
                            updated_clip_id = "unknown"

                        #pass this info in new tool and assistant message
                        tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': f'updated clip id: {updated_clip_id}\nupdated lyrics: {updated_lyrics}\nupdated clips path: {clips_list}'}
                        audio_message = {'role': 'assistant', 'content': f'Sure! All the clips are now merged. <p>updated lyrics: {updated_lyrics}</p><audio controls autoplay><source src="{updated_clip_url}" type="audio/mp3"></audio><p>updated clips path: {clips_list}</p>'}

                        sections_list = [line for line in current_lyrics.split('\n') if line.startswith('[') and line.endswith(']')]


                        new_messages = messages + [tool_message, audio_message]
                        new_history = messages_to_history(new_messages)

                        if len(sections_list) > 0:
                            section_name = "Merge up to " + sections_list[-1]
                        else: 
                            section_name = "Merge up to latest section"
                        section_name = determine_title(section_name, generated_audios)

                        # current_section, current_lyrics, curr_tags, clip_to_continue, curr_audio
                        generated_audios.append((updated_clip_url, updated_lyrics, updated_tags, section_name, "streaming"))

                        generated_audios = update_song_links(generated_audios)
                        clips_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=[x[3] for x in generated_audios]+[""], interactive=True)


                        yield '', new_history, new_messages, section_name, updated_lyrics, updated_tags, clips_to_continue, f'<audio controls><source src="{updated_clip_url}" type="audio/mp3"></audio>', generated_audios, []
                elif tool_function_name == 'finish_full_song':
                    ## args are sections_to_be_written, relevant_ideas, last_snippet_id, sni
                    
                    ## STEP 0: POP out instrumental args
                    snippet_instrumental_tags = tool_query_args.pop('snippet_instrumental_tags', None)
                    snippet_clip_to_continue_from = tool_query_args.pop('snippet_clip_to_continue_from', None)

                    if isinstance(tool_query_args['sections_written'], str):
                        current_lyrics = tool_query_args['sections_written']
                    elif isinstance(tool_query_args['sections_written'], list):
                        current_lyrics = "\n".join(tool_query_args['sections_written'])
                    else:
                        current_lyrics = ""

                    ## STEP 1: WRITE ALL LYRICS using songwriterAssistant
                    remaining_lyrics = songwriterAssistant.write_all_lyrics(**tool_query_args)
                    full_lyrics = current_lyrics + remaining_lyrics + "\n[End]"


                    # current_section, current_lyrics, curr_tags, clip_to_continue, curr_audio
                    # yield '', history, messages, "Full Song", full_lyrics, snippet_instrumental_tags, snippet_clip_to_continue_from, None, generated_audios, []

                    ## STEP 2: MAKE SONG FOR REMAINING LYRICS
                    song_link = make_song(remaining_lyrics, snippet_instrumental_tags, snippet_clip_to_continue_from)

                    #tool and assistant message
                    tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': f'{full_lyrics}'}
                    audio_message = {'role': 'assistant', 'content': f'New snippet: \n <audio controls autoplay><source src="{song_link}" type="audio/mp3"></audio>'}

                    new_messages = messages + [tool_message, audio_message]
                    new_history = messages_to_history(new_messages)
                    generated_audios.append((song_link, remaining_lyrics, snippet_instrumental_tags, "Rest of Song", "streaming"))

                    yield '', new_history, new_messages, "Rest of Song", full_lyrics, snippet_instrumental_tags, snippet_clip_to_continue_from, song_link, generated_audios, []

                    ## STEP 3: MERGE FULL SONG
                    if snippet_clip_to_continue_from not in [None, ""]:
                        updated_clip_url = "still streaming"
                        while "still streaming" in updated_clip_url:
                            if "https://audiopipe.suno.ai/?item_id=" in song_link:
                                clip_id = song_link.split("https://audiopipe.suno.ai/?item_id=")[1]
                            else:
                                clip_id = updated_clip_url.split("https://cdn1.suno.ai/")[1].split(".mp3")[0]
                            updated_clip_url, updated_lyrics, updated_tags, clips_list = concat_snippets(clip_id)
                    else:
                        updated_clip_url, updated_lyrics, clips_list = song_link, remaining_lyrics, []
                    ## YIELD UPDATED CLIP URL, LYRICS, AND CLIPS LIST
                    if "https://audiopipe.suno.ai/?item_id=" in updated_clip_url:
                        updated_clip_id = updated_clip_url.split("https://audiopipe.suno.ai/?item_id=")[1]
                    elif "https://cdn1.suno.ai/" in updated_clip_url:
                        updated_clip_id = updated_clip_url.split("https://cdn1.suno.ai/")[1].split(".mp3")[0]
                    else:
                        updated_clip_id = "unknown"

                    #tool and assistant message
                    tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': f'updated clip id: {updated_clip_id}\nupdated lyrics: {updated_lyrics}\nupdated clips path: {clips_list}'}
                    audio_message = {'role': 'assistant', 'content': f'All done! Thank you for participating :) \nFinal Lyrics: {full_lyrics} \nFinal song: <audio controls autoplay><source src="{updated_clip_url}" type="audio/mp3"></audio>'}

                    new_messages = messages + [tool_message, audio_message]
                    new_history = messages_to_history(new_messages)
                    generated_audios.append((updated_clip_url, updated_lyrics, updated_tags, "Full Song", "streaming"))
                    generated_audios = update_song_links(generated_audios)
                    clips_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=[x[3] for x in generated_audios]+[""], interactive=True)

                    yield '', new_history, new_messages, "Full Song", full_lyrics, snippet_instrumental_tags, clips_to_continue, f'<audio controls><source src="{song_link}" type="audio/mp3"></audio>', generated_audios, []

                elif tool_function_name == 'get_audio_snippet':
                    #detangle tool_query_args dict
                    snippet_lyrics = tool_query_args['snippet_lyrics'] + "\n[End]"
                    snippet_instrumental_tags = tool_query_args['snippet_instrumental_tags']

                    snippet_clip_to_continue_from = tool_query_args.get('snippet_clip_to_continue_from', None)
                    song_link = await call_with_timeout(run_in_executor(make_song, snippet_lyrics, snippet_instrumental_tags, snippet_clip_to_continue_from), 45) 

                    if song_link == "Timeout":
                        tool_message = {
                            'role': 'tool',
                            'tool_call_id': tool_call_id,
                            'name': tool_function_name,
                            'content': 'The request to generate the audio snippet timed out. Please try again later.'
                        }

                        new_messages = messages + [tool_message]

                        model_response_with_function_call = oai_client.chat.completions.create(
                            model="gpt-4o",
                            messages=new_messages,
                        )  # get a new response from the model where it can see the function response
                        current_response = model_response_with_function_call.choices[0].message.content

                        role = "assistant"
                        new_messages = new_messages + [{'role': role, 'content': current_response}]
                        new_history = messages_to_history(new_messages)

                        generated_audios = update_song_links(generated_audios)
                        clips_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=[x[3] for x in generated_audios]+[""], interactive=True)
                        buttons = []

                        yield '', new_history, new_messages, snippet_lyrics.split("\n")[0], snippet_lyrics, snippet_instrumental_tags, clips_to_continue, None, generated_audios, buttons
                        
                        return

                    if "still streaming" in song_link:
                        tool_message = {
                            'role': 'tool',
                            'tool_call_id': tool_call_id,
                            'name': tool_function_name,
                            'content': 'The snippet to extend is still streaming. Please try generating this audio snippet in a little bit.'
                        }

                        new_messages = messages + [tool_message]

                        model_response_with_function_call = oai_client.chat.completions.create(
                            model="gpt-4o",
                            messages=new_messages,
                        )  # get a new response from the model where it can see the function response
                        current_response = model_response_with_function_call.choices[0].message.content

                        role = "assistant"
                        new_messages = new_messages + [{'role': role, 'content': current_response}]
                        new_history = messages_to_history(new_messages)

                        generated_audios = update_song_links(generated_audios)
                        clips_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=[x[3] for x in generated_audios]+[""], interactive=True)
                        buttons = []

                        yield '', new_history, new_messages, snippet_lyrics.split("\n")[0], snippet_lyrics, snippet_instrumental_tags, clips_to_continue, None, generated_audios, buttons
                        
                        return
                    

                    if "no clip with that ID" in song_link:
                        tool_message = {
                            'role': 'tool',
                            'tool_call_id': tool_call_id,
                            'name': tool_function_name,
                            'content': 'The clip ID was incorrect, maybe clarify with the user.'
                        }

                        new_messages = messages + [tool_message]

                        model_response_with_function_call = oai_client.chat.completions.create(
                            model="gpt-4o",
                            messages=new_messages,
                        )  # get a new response from the model where it can see the function response
                        current_response = model_response_with_function_call.choices[0].message.content

                        role = "assistant"
                        new_messages = new_messages + [{'role': role, 'content': current_response}]
                        new_history = messages_to_history(new_messages)

                        generated_audios = update_song_links(generated_audios)
                        clips_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=[x[3] for x in generated_audios]+[""], interactive=True)
                        buttons = []

                        yield '', new_history, new_messages, snippet_lyrics.split("\n")[0], snippet_lyrics, snippet_instrumental_tags, clips_to_continue, None, generated_audios, buttons
                        
                        return
                    print("MAKE SONG IS DONE")
                    ## filter out suno link from tool query arg
                    clip_id = song_link.split("https://audiopipe.suno.ai/?item_id=")[1]

                    tool_message = {'role': 'tool', 'tool_call_id': tool_call_id, 'name': tool_function_name, 'content': f'snippet lyrics: {snippet_lyrics}\ninstrumental tags: {tool_query_args["snippet_instrumental_tags"]}, clip id: {clip_id}'}
                    audio_message_content = "Here's what I've come up with:\n" + snippet_lyrics + '\n\n' + f'<audio controls autoplay><source src="{song_link}" type="audio/mp3"></audio><p>instrumental tags: {tool_query_args["snippet_instrumental_tags"]}</p>'
                    audio_message_content += f'<p>continued from clip: {snippet_clip_to_continue_from}</p>'
                    audio_message_content += "What do you think?"
                    audio_message = {'role': 'assistant', 'content': audio_message_content}
                    

                    section_name = snippet_lyrics.split("\n")[0].strip('[]* ')
                    section_name = determine_title(section_name, generated_audios)

                    #audio_message = {'role': 'assistant', 'content': gr.Audio(value=song_link, label=section_name, interactive=False, show_label=False, waveform_options={"show_controls": False})}
                    new_messages = messages + [tool_message, audio_message]
                    new_history = messages_to_history(new_messages)
                    print("AUDIO MESSAGE DONE")
                    generated_audios.append((song_link, snippet_lyrics, snippet_instrumental_tags, section_name, "streaming"))

                    generated_audios = update_song_links(generated_audios)

                    buttons = ["revise lyrics", "edit lyrics directly", "revise genre", "edit genre directly", "merge snippets", "continue to next section"]
                    clips_to_continue = gr.Dropdown(label='Clip to continue', value = snippet_clip_to_continue_from, choices=[x[3] for x in generated_audios]+[""], interactive=True)

                    yield '', new_history, new_messages, snippet_lyrics.split("\n")[0], snippet_lyrics, snippet_instrumental_tags, clips_to_continue, f'<audio controls><source src="{song_link}" type="audio/mp3"></audio>', generated_audios, buttons


                else: 
                    print(f"Error: function {tool_function_name} does not exist")
        except Exception as e:
            print(str(e))
            error_message = {
                'role': 'assistant',
                'content': f"An error occurred while processing your request. Please re-phrase your request and try again."
            }
            messages_filtered.append(error_message)
            yield '', messages_to_history(messages_filtered), messages_filtered, '', '', '', '', None, generated_audios, []

            
    else: 
        # Model did not identify a function to call, result can be returned to the user 
        current_response = response_message.choices[0].message.content

        role = "assistant"
        new_messages = messages + [{'role': role, 'content': current_response}]
        # new_messages = [msg for msg in new_messages if msg['content'] is not None and msg['role'] in ['user', 'assistant']]
        history = messages_to_history(new_messages)
        yield '', history, new_messages, '[...]'