Update cv_analyzer.py

cv_analyzer.py

@@ -1,16 +1,13 @@
 import json
 import logging
-import tempfile
-import os
 from cv_prompt import (
     ResumeQualityEvaluation,
-    get_section_detection_prompt, 
-    get_content_quality_prompt, 
-    calculate_section_detection_score, 
+    get_section_detection_prompt,
+    get_content_quality_prompt,
+    calculate_section_detection_score,
     calculate_overall_score
 )
 from openai_utils import get_ai_response
-from ocr_extractor import process_file
 from langchain.output_parsers import PydanticOutputParser
 from spelling_grammar_checker import evaluate_cv_text
 from personal_information import analyze_personal_info
@@ -18,8 +15,7 @@ from personal_information import analyze_personal_info
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
 def analyze_cv(text):
-   
-
+    try:
         # Personal Information Analysis
         personal_info = analyze_personal_info(text)
 
@@ -54,7 +50,7 @@ def analyze_cv(text):
         logging.info(f"Overall score: {overall_score}")
 
         return {
-            "extracted_text": extracted_text,
+            "extracted_text": text,
             "personal_info": personal_info,
             "spelling_grammar_error_percentage": error_percentage,
             "spelling_grammar_score": spelling_grammar_score,
@@ -65,8 +61,4 @@ def analyze_cv(text):
         }
     except Exception as e:
         logging.error(f"Error in CV analysis: {str(e)}", exc_info=True)
-        return {"error": str(e)}
-    finally:
-        # Clean up the temporary file
-        if 'temp_file_path' in locals():
-            os.unlink(temp_file_path)
+        return {"error": str(e)}