Update app.py

app.py

@@ -1,21 +1,12 @@
 import logging
 import gradio as gr
-from utils import process_large_text, generate_lesson_from_transcript as generate_lesson_from_transcript_logic
-from pdfminer.high_level import extract_text  
+from utils import process_large_text, generate_lesson_from_transcript as generate_lesson_from_transcript_logic, pdf_to_text
+from pdfminer.high_level import extract_text
 
 
-# Logging Ayarları
 logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
 logger = logging.getLogger(__name__)
 
-def pdf_to_text(pdf_path):
-    try:
-        logger.info(f"Extracting text from PDF: {pdf_path}")
-        return extract_text(pdf_path)
-    except Exception as e:
-        logger.error(f"Error while extracting text from PDF: {str(e)}")
-        raise ValueError(f"PDF extraction error: {str(e)}")
-
 def generate_lesson(doc_text=None, pdf_file=None):
     try:
         if pdf_file and doc_text:
@@ -26,18 +17,18 @@ def generate_lesson(doc_text=None, pdf_file=None):
             logger.info(f"Processing uploaded PDF file: {pdf_file.name}")
             doc_text = pdf_to_text(pdf_file.name)
 
-        logger.info("Processing the document text with general model.")
-        general_model_output = process_large_text(doc_text)
-
-        logger.info("Refining the output with fine-tuned model.")
-        refined_output = refine_with_fine_tuned_model(general_model_output)
-
-        output_path = "/tmp/refined_output.txt"
-        with open(output_path, "w") as file:
-            file.write(refined_output)
-
-        logger.info(f"Lesson generated successfully. Output saved to: {output_path}")
-        return refined_output, gr.File(output_path)
+        logger.info("Processing the document text.")
+        processed_text = process_large_text(doc_text)
+        
+        logger.info("Generating lesson from transcript.")
+        generated_text, output_path = generate_lesson_from_transcript_logic(processed_text)
+
+        if output_path:
+            logger.info(f"Lesson generated successfully. Output saved to: {output_path}")
+            return generated_text, gr.File(output_path)
+        else:
+            logger.info("Lesson generated successfully, but no output file created.")
+            return generated_text, None
 
     except Exception as e:
         logger.error(f"Error occurred while generating lesson: {str(e)}")