add changes in pdf logic

changes:
   1. Remove `/` file (just missed click when create it);
   2. Add filename input for pdf;
   3. Now pdf file saves.

\

@@ -1,24 +0,0 @@
-import re
-from pylatexenc.latex2text import LatexNodes2Text
-
-class ConvertMdToPdf:
-    # Конвертирует md в pdf
-    def convertLatexToText(self, text:str):
-        # Обрабатываем только математические выражения
-        text = re.sub(
-            r'\$\$(.*?)\$\$|\$(.*?)\$', 
-            self.replace_math, 
-            text, 
-            flags=re.DOTALL
-        )
-        return text
-
-    def replace_math(self, match):
-        math_content = match.group(1) or match.group(2)  # $$...$$ или $...$
-        try:
-            # Преобразуем только математическое выражение
-            converted = LatexNodes2Text().latex_to_text(math_content)
-            return converted
-        except:
-            return math_content  # В случае ошибки оставляем как есть
-

app.py

@@ -11,7 +11,7 @@ from services.convertMdToPdf import ConvertMdToPdf
 from config import *
 
 # Функция транскрибации
-def generateByCondition(api_key, llm_model, system_prompt, recognized_text, llm_temperature, is_pipeline_enabled, trigger, isSaveFile):
+def generateByCondition(api_key, llm_model, system_prompt, recognized_text, llm_temperature, is_pipeline_enabled, trigger, isSaveFile, filename, filenamePdf):
     llm = Llm(api_key)
 
     # если чекбокс включен и событие было change → обрабатываем
@@ -19,10 +19,11 @@ def generateByCondition(api_key, llm_model, system_prompt, recognized_text, llm_
         result, md = llm.generate(llm_model, system_prompt, recognized_text, llm_temperature)
 
         # Конвертируем текст с латексом в юникод
-        unicodeText = ConvertMdToPdf().convertLatexToText(md)
+        pdf, unicodeText = ConvertMdToPdf().convertLatexToText(md)
 
         if isSaveFile:
-            saveFile("output.txt", result)
+            savePdf(filenamePdf, pdf)
+            saveFile(filename, result)
 
         return result, unicodeText
 
@@ -31,10 +32,11 @@ def generateByCondition(api_key, llm_model, system_prompt, recognized_text, llm_
         result, md = llm.generate(llm_model, system_prompt, recognized_text, llm_temperature)
 
         # Конвертируем текст с латексом в юникод
-        unicodeText = ConvertMdToPdf().convertLatexToText(md)
+        pdf, unicodeText = ConvertMdToPdf().convertLatexToText(md)
 
         if isSaveFile:
-            saveFile("output.txt", result)
+            savePdf(filenamePdf, pdf)
+            saveFile(filename, result)
 
         return result, unicodeText
 
@@ -42,6 +44,12 @@ def generateByCondition(api_key, llm_model, system_prompt, recognized_text, llm_
     return gr.skip(), gr.skip()
 
 
+def savePdf(filename, pdf):
+    directory = Path(OUTPUT_PATH)
+    filePath = directory / filename
+    filePath.parent.mkdir(parents=True, exist_ok=True)
+    pdf.save(filePath)
+
 # Функция сохранеhния файла
 def saveFile(filename, text):
     directory = Path(OUTPUT_PATH)
@@ -93,6 +101,7 @@ with gr.Blocks() as demo:
                     with gr.Group():
                         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
@@ -127,7 +136,7 @@ with gr.Blocks() as demo:
                             systemPrompt = gr.Textbox(label='', value=DEFAULT_SYSTEM_PROMPT, interactive=True)
 
                         with gr.Row():
-                            llmModel = gr.Dropdown(label='models', choices=LLM_MODELS, value=LLM_MODELS[0], interactive=True)
+                            llmModel = gr.Dropdown(label='models', choices=LLM_MODELS, value=LLM_MODELS[1], interactive=True)
                             llmTemperature = gr.Number(label='Temperature', value=0.8, interactive=True )
 
         with gr.Column():
@@ -151,14 +160,14 @@ with gr.Blocks() as demo:
     # автоматический пайплайн
     recognizedText.change(
         generateByCondition,
-        inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("change"), saveFileCheckbox],
+        inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("change"), saveFileCheckbox, filename, filenamePdf],
         outputs=[refinedText, refinedTextMD]
     )
 
     # ручной запуск по кнопке
     refineTextBtn.click(
         generateByCondition,
-        inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("click"), saveFileCheckbox],
+        inputs=[apiKey, llmModel, systemPrompt, recognizedText, llmTemperature, isPipelineEnabledCheckbox, gr.State("click"), saveFileCheckbox, filename, filenamePdf],
         outputs=[refinedText, refinedTextMD]
     )
 

config.py

@@ -11,9 +11,6 @@ DEFAULT_API_KEY=os.getenv('API_KEY')
 # Задаем выходную директорию
 OUTPUT_PATH='outputs'
 
-# Стандартный системный промпт
-OUTPUT_PATH='outputs'
-
 DEFAULT_SYSTEM_PROMPT='''You are a diligent university student who has recorded a lecture as an audio file and later transcribed it into raw text. 
 Your task is to rewrite this unstructured transcript into a clear, logically organized, and detailed lecture summary (lecture notes).  
 
@@ -45,5 +42,6 @@ Guidelines:
 Final Output: A cohesive, detailed, and well-structured lecture summary, suitable for later studying and revision.
 Use only russian language!
 USE LATEX IN DOLLAR SIGN ($)!
+EXTRA BIG LENTH OF CONSPECT!
 '''
 

services/convertMdToPdf.py

@@ -13,9 +13,9 @@ class ConvertMdToPdf:
             text, 
             flags=re.DOTALL
         )
-        pdf = MarkdownPdf(toc_level=2, optimize=True)
+        pdf = MarkdownPdf(toc_level=0, optimize=True)
         pdf.add_section(Section(text))
-        return text
+        return pdf, text
 
     def replace_math(self, match):
         math_content = match.group(1) or match.group(2)  # $$...$$ или $...$

services/fasterWhisper.py

@@ -2,7 +2,7 @@ from faster_whisper import WhisperModel
 
 class FasterWhisper:
     def recognize(self, model, audioFile, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText):
-        model = WhisperModel(model, device='auto', compute_type='auto') # Задаем модель
+        model = WhisperModel(model, device='cuda', compute_type='auto') # Задаем модель
 
         segments, _ = model.transcribe( # Распознаем текст
             audioFile,