added API compliance to the provider

app.py

@@ -113,7 +113,11 @@ def main():
         saveFileCheckbox.change(gh.updateTextbox, inputs=saveFileCheckbox, outputs=filename)
         saveFileCheckbox.change(gh.updateTextbox, inputs=saveFileCheckbox, outputs=filenamePdf)
 
-        recognizeBtn.click(gh.handleRecognizeBtn, outputs=[recognizedText], 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)])
+        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], 
+            )
         
         # Если пайплайн включен то тогда делаем автоматически
         # автоматический пайплайн

handlers/gradioHandler.py

@@ -11,14 +11,22 @@ class GradioHandlers:
         self.FasterWhisper = FasterWhisper()
         self.llm_factory = llm_factory # Сохраняем фабрику
 
-    def handleRecognizeBtn(self, audioFiles, model, device, compute_type, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText, filename, outPath):
+    def handleRecognizeBtn(
+            self, audioFiles, model, device, 
+            compute_type, beamSize, vadFilter, 
+            minSilenceDurationMs, speechPadMs, 
+            temp0, temp1, temp2, 
+            wordTimestamps, noSpeechThreshold, conditionOnPreviousText, 
+            filename, outPath):
         audioFile = self.ga.glue(audioFiles)
         file = self.fh.saveFile(filename, audioFile, outPath)
-
         return self.FasterWhisper.recognize(model, device, compute_type, file, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText)
 
     # Функция улучшения текста
-    def generateByCondition(self, api_key, llm_provider, llm_model, system_prompt, recognized_text, llm_temperature, is_pipeline_enabled, trigger, isSaveFile, filename, filenamePdf, output_path):
+    def generateByCondition(self, api_key, llm_provider, 
+                            llm_model, system_prompt, recognized_text, 
+                            llm_temperature, is_pipeline_enabled, trigger, 
+                            isSaveFile, filename, filenamePdf, output_path):
         try:
             # Получаем нужный провайдер через фабрику
             provider = self.llm_factory(llm_provider, api_key)

services/fasterWhisper.py

@@ -1,7 +1,11 @@
 from faster_whisper import WhisperModel
 
 class FasterWhisper:
-    def recognize(self, model, device, compute_type, audioFile, beamSize, vadFilter, minSilenceDurationMs, speechPadMs, temp0, temp1, temp2, wordTimestamps, noSpeechThreshold, conditionOnPreviousText):
+    def recognize(self, model, device, compute_type, 
+                  audioFile, beamSize, vadFilter, 
+                  minSilenceDurationMs, speechPadMs, 
+                  temp0, temp1, temp2, wordTimestamps, 
+                  noSpeechThreshold, conditionOnPreviousText):
         model = WhisperModel(model, device=device, compute_type=compute_type) # Задаем модель
 
         segments, _ = model.transcribe( # Распознаем текст