diff --git a/app.py b/app.py
index a611da6..184ca37 100644
--- a/app.py
+++ b/app.py
@@ -14,105 +14,109 @@ from handlers.convertMdToPdf import ConvertMdToPdf
 
 gh = GradioHandlers(gr, Llm, ConvertMdToPdf, FileHandlers, FasterWhisper)
 
-with gr.Blocks() as demo:
-    gr.HTML('''
-    <div align=center>
-        <h1>
-            Faster Whisper WebUI
-        </h1>
-    </div>
-    ''')
+def main():
+    with gr.Blocks() as demo:
+        gr.HTML('''
+        <div align=center>
+            <h1>
+                Faster Whisper WebUI
+            </h1>
+        </div>
+        ''')
 
-    with gr.Row():
-        # Вкладка с основным взаимодействием
-        with gr.Tab('Actions'):
-            isPipelineEnabledCheckbox = gr.Checkbox(label='is pipeline enabled', value=True, interactive=True)
+        with gr.Row():
+            # Вкладка с основным взаимодействием
+            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():
-                        audioFile = gr.Audio(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='')
-
-        # Вкладка с настройками
-        with gr.Tab('Settings'):
-            with gr.Column():
-                # Первое поле на всю ширину в акордионе настроек
-                with gr.Accordion('File settings'):
-                    saveFileCheckbox = gr.Checkbox(label='save file', value=True, interactive=True)
-                    filename = gr.Textbox(label='Output filename', value='output.txt', interactive=True)
-                    filenamePdf = gr.Textbox(label='Output filename for pdf', value='output.pdf', interactive=True)
-
-                # Акордион настроек faster whisper
-                with gr.Accordion(label='Faster whisper settings'):
-                    with gr.Row():
-                        # Левая колонка в акордионе
+                with gr.Row():
+                    with gr.Accordion(label='Recognization and integration'):
                         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)
+                            audioFile = gr.Audio(label='Load audio for transcribe', type="filepath")
+                            images = gr.Files(label='Upload images', file_types=['image'])
+                            recognizeBtn = gr.Button('recognize and integrate', variant='primary')
 
-                            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.Accordion(label='Recognized text'):
+                                recognizedText = gr.TextArea(label='')
 
-                        # Правая колонка в акордионе
+                    with gr.Accordion(label='LLM'):
                         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)
+                            refineTextBtn = gr.Button('refine text', variant='secondary', interactive=False)
 
-                            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='Refined text raw'):
+                                refinedText = gr.Textbox(label='', show_copy_button=True)
 
-                # Нижний акордион настроек для api ключа llm
-                with gr.Accordion(label='ai.io.net api settings'):
-                    apiKey = gr.Textbox(label='API key', value=DEFAULT_API_KEY, interactive=True)
+                            with gr.Accordion(label='Refined text md formated'):
+                                refinedTextMD = gr.Markdown(label='')
 
-                    with gr.Accordion(label='System prompt'):
-                        systemPrompt = gr.Textbox(label='', value=DEFAULT_SYSTEM_PROMPT, interactive=True)
+            # Вкладка с настройками
+            with gr.Tab('Settings'):
+                with gr.Column():
+                    # Первое поле на всю ширину в акордионе настроек
+                    with gr.Accordion('File settings'):
+                        saveFileCheckbox = gr.Checkbox(label='save file', value=True, interactive=True)
+                        filename = gr.Textbox(label='Output filename', value='output.txt', interactive=True)
+                        filenamePdf = gr.Textbox(label='Output filename for pdf', value='output.pdf', interactive=True)
 
-                    with gr.Row():
-                        llmModel = gr.Dropdown(label='models', choices=LLM_MODELS, value=LLM_MODELS[1], interactive=True)
-                        llmTemperature = gr.Number(label='Temperature', value=0.8, interactive=True )
+                    # Акордион настроек faster whisper
+                    with gr.Accordion(label='Faster whisper settings'):
+                        with gr.Row():
+                            # Левая колонка в акордионе
+                            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)
 
-    isPipelineEnabledCheckbox.change(gh.updateButton, inputs=[isPipelineEnabledCheckbox], outputs=refineTextBtn)
-    saveFileCheckbox.change(gh.updateTextbox, inputs=saveFileCheckbox, outputs=filename)
-    saveFileCheckbox.change(gh.updateTextbox, inputs=saveFileCheckbox, outputs=filenamePdf)
+                                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)
 
-    recognizeBtn.click(gh.FasterWhisper.recognize, outputs=[recognizedText], inputs=[fastWhisperModel, device, compute_type, audioFile, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText])
-    
-    # Если пайплайн включен то тогда делаем автоматически
-    # автоматический пайплайн
-    recognizedText.change(
-        gh.generateByCondition,
-        inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("change"), saveFileCheckbox, filename, filenamePdf, gr.State(OUTPUT_PATH)],
-        outputs=[refinedText, refinedTextMD]
-    )
+                            # Правая колонка в акордионе
+                            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)
 
-    # ручной запуск по кнопке
-    refineTextBtn.click(
-        gh.generateByCondition,
-        inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("click"), saveFileCheckbox, filename, filenamePdf, gr.State(OUTPUT_PATH)],
-        outputs=[refinedText, refinedTextMD]
-    )
+                                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)
 
-demo.launch()
+                    # Нижний акордион настроек для api ключа llm
+                    with gr.Accordion(label='ai.io.net api settings'):
+                        apiKey = gr.Textbox(label='API key', 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():
+                            llmModel = gr.Dropdown(label='models', choices=LLM_MODELS, value=LLM_MODELS[1], interactive=True)
+                            llmTemperature = gr.Number(label='Temperature', value=0.8, interactive=True )
+
+        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.FasterWhisper.recognize, outputs=[recognizedText], inputs=[fastWhisperModel, device, compute_type, audioFile, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText])
+        
+        # Если пайплайн включен то тогда делаем автоматически
+        # автоматический пайплайн
+        recognizedText.change(
+            gh.generateByCondition,
+            inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("change"), saveFileCheckbox, filename, filenamePdf, gr.State(OUTPUT_PATH)],
+            outputs=[refinedText, refinedTextMD]
+        )
+
+        # ручной запуск по кнопке
+        refineTextBtn.click(
+            gh.generateByCondition,
+            inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("click"), saveFileCheckbox, filename, filenamePdf, gr.State(OUTPUT_PATH)],
+            outputs=[refinedText, refinedTextMD]
+        )
+
+    demo.launch()
+
+if __name__ == '__main__':
+    main()