Update cv_analyzer.py

cv_analyzer.py

@@ -17,24 +17,17 @@ from personal_information import analyze_personal_info
 
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
-def analyze_cv(file_content):
-    try:
-        # Save the file content temporarily
-        with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf') as temp_file:
-            temp_file.write(file_content)
-            temp_file_path = temp_file.name
-
-        extracted_text = process_file(temp_file_path, 'ocr_weights.json')
-        logging.info("Text extracted successfully")
+def analyze_cv(text):
+   
 
         # Personal Information Analysis
-        personal_info = analyze_personal_info(temp_file_path)
+        personal_info = analyze_personal_info(text)
 
         # Spelling and Grammar Check
-        error_percentage, spelling_grammar_score = evaluate_cv_text(temp_file_path, 'ocr_weights.json')
+        error_percentage, spelling_grammar_score = evaluate_cv_text(text)
 
         # Section Detection
-        sections_prompt = get_section_detection_prompt(extracted_text)
+        sections_prompt = get_section_detection_prompt(text)
         sections_response = get_ai_response([{"role": "user", "content": sections_prompt}])
         if sections_response is None:
             return {"error": "Failed to get AI response for sections"}
@@ -46,7 +39,7 @@ def analyze_cv(file_content):
         logging.info(f"Section detection score: {section_detection_score}")
 
         # Content Quality Analysis
-        quality_prompt = get_content_quality_prompt(extracted_text)
+        quality_prompt = get_content_quality_prompt(text)
         quality_response = get_ai_response([{"role": "user", "content": quality_prompt}])
         
         if quality_response is None: