import gradio as gr
from config import *
from services.llm_factory import get_llm_provider
from services.fasterWhisper import FasterWhisper
from handlers.gradioHandler import GradioHandlers
from handlers.fileHandlers import FileHandlers
from handlers.convertMdToPdf import ConvertMdToPdf
from handlers.glueAudio import GlueAudio

gh = GradioHandlers(get_llm_provider, ConvertMdToPdf, FileHandlers, FasterWhisper, GlueAudio)

def main():
    with gr.Blocks() as demo:
        gr.HTML('<div align=center><h1>Faster Whisper WebUI</h1></div>')

        with gr.Row():
            with gr.Tab('Actions'):
                isPipelineEnabledCheckbox = gr.Checkbox(label='is pipeline enabled', value=True, interactive=True)

                with gr.Row():
                    with gr.Accordion(label='Recognization and integration'):
                        with gr.Column():
                            audioFiles = gr.Files(label='Load audio for transcribe', type="filepath")
                            images = gr.Files(label='Upload images', file_types=['image'])
                            recognizeBtn = gr.Button('recognize and integrate', variant='primary')
                            with gr.Accordion(label='Recognized text'):
                                recognizedText = gr.TextArea(label='')

                    with gr.Accordion(label='LLM'):
                        with gr.Column():
                            refineTextBtn = gr.Button('refine text', variant='secondary', interactive=False)
                            with gr.Accordion(label='Refined text raw'):
                                refinedText = gr.Textbox(label='', show_copy_button=True)
                            with gr.Accordion(label='Refined text md formated'):
                                refinedTextMD = gr.Markdown(label='')

            with gr.Tab('Settings'):
                with gr.Column():
                    with gr.Accordion('File settings'):
                        saveFileCheckbox = gr.Checkbox(label='save file', value=True, interactive=True)
                        filename = gr.Textbox(label='Output filename', value='output.md', interactive=True)
                        filenamePdf = gr.Textbox(label='Output filename for pdf', value='output.pdf', interactive=True)

                    with gr.Accordion(label='Faster whisper settings'):
                        with gr.Row():
                            with gr.Column():
                                device = gr.Dropdown(label='Device', choices=DEVICES, value=DEVICES[1], interactive=True)
                                compute_type = gr.Dropdown(label='compute_type', choices=COMPUTE_TYPE, value=COMPUTE_TYPE[0], interactive=True)
                                fastWhisperModel = gr.Dropdown(label='Model', choices=FAST_WHISPER_MODELS, value=FAST_WHISPER_MODELS[11], interactive=True)
                                beamSize = gr.Number(label='beam_size', value=8, interactive=True)
                                noSpeechThreshold  = gr.Number(label='no_speech_threshold', value=0.5, interactive=True)
                                vadFilter = gr.Checkbox(label='vad_filter', value=True, interactive=True)
                                wordTimestamps = gr.Checkbox(label='word_timestamps', value=True, interactive=True)
                                conditionOnPreviousText = gr.Checkbox(label='condition_on_previous_text', value=False, interactive=True)
                            with gr.Column():
                                with gr.Accordion(label='Vad parameters'):
                                    minSilenceDurationMs = gr.Number(label='min_silence_duration_ms', value=300, interactive=True)
                                    speechPadMs = gr.Number(label='speech_pad_ms', value=200, interactive=True)
                                with gr.Accordion(label='Temperature'):
                                    temp0 = gr.Number(label='temp_0', value=0.0, interactive=True)
                                    temp1 = gr.Number(label='temp_1', value=0.2, interactive=True)
                                    temp2 = gr.Number(label='temp_2', value=0.4, interactive=True)

                    with gr.Accordion(label='LLM settings'):
                        apiKey = gr.Textbox(label='API key (required for io.net, Gemini)', value=DEFAULT_API_KEY, interactive=True)
                        with gr.Accordion(label='System prompt'):
                            systemPrompt = gr.Textbox(label='', value=DEFAULT_SYSTEM_PROMPT, interactive=True)

                        with gr.Row():
                            llmProvider = gr.Dropdown(label='LLM Provider', choices=LLM_PROVIDERS, value=LLM_PROVIDERS[0], interactive=True)
                            llmModel = gr.Dropdown(label='Models', choices=LLM_MODELS[LLM_PROVIDERS[0]], value=LLM_MODELS[LLM_PROVIDERS[0]][1], interactive=True)
                            llmTemperature = gr.Number(label='Temperature', value=0.8, interactive=True)
                        
                        # Настройки Custom провайдера
                        with gr.Accordion(label='Custom Provider Settings', open=True):
                            customBaseUrl = gr.Textbox(
                                label='Base URL', 
                                value='http://127.0.0.1:1234/v1/', 
                                interactive=True,
                                visible=False # Скрыто по умолчанию
                            )

        # Обработчики событий
        isPipelineEnabledCheckbox.change(gh.updateButton, inputs=[isPipelineEnabledCheckbox], outputs=refineTextBtn)
        saveFileCheckbox.change(gh.updateTextbox, inputs=saveFileCheckbox, outputs=filename)
        saveFileCheckbox.change(gh.updateTextbox, inputs=saveFileCheckbox, outputs=filenamePdf)

        recognizeBtn.click(
            gh.handleRecognizeBtn, 
            inputs=[audioFiles, fastWhisperModel, device, compute_type, beamSize, 
                    vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, 
                    wordTimestamps, noSpeechThreshold, conditionOnPreviousText, gr.State(GLUED_AUDIO_FILENAME), gr.State(OUTPUT_PATH)],
            outputs=[recognizedText], 
        )
        
        # --- ИСПРАВЛЕНИЕ: ДОБАВЛЕН customBaseUrl В INPUTS ---
        recognizedText.change(
            gh.generateByCondition,
            inputs=[apiKey, llmProvider, llmModel, systemPrompt, recognizedText, llmTemperature, 
                    isPipelineEnabledCheckbox, gr.State("change"), saveFileCheckbox, filename, filenamePdf, gr.State(OUTPUT_PATH), customBaseUrl],
            outputs=[refinedText, refinedTextMD]
        )

        # Обновление выпадающего списка моделей и поля API ключа
        llmProvider.change(
            gh.update_model_dropdown, 
            inputs=llmProvider, 
            outputs=[llmModel, apiKey]
        )
        
        # Переключение видимости URL для Custom провайдера
        llmProvider.change(
            fn=gh.toggle_custom_url,
            inputs=llmProvider,
            outputs=[customBaseUrl]
        )

        refineTextBtn.click(
            gh.generateByCondition,
            inputs=[apiKey, llmProvider, llmModel, systemPrompt, recognizedText, llmTemperature, 
                    isPipelineEnabledCheckbox, gr.State("click"), saveFileCheckbox, filename, filenamePdf, gr.State(OUTPUT_PATH), customBaseUrl],
            outputs=[refinedText, refinedTextMD]
        )

    demo.launch()

if __name__ == '__main__':
    main()