fixing issues related to sentence-transformers

query_processing.py

@@ -14,9 +14,12 @@ import os
 from scraper import scrape_job_description, is_url
 
 # Set up cache directories in user's home directory
-cache_dir = os.path.join(os.path.expanduser("~"), ".cache", "huggingface")
-if not os.path.exists(cache_dir):
-    os.makedirs(cache_dir, exist_ok=True)
+import os
+
+# Define a user-writable cache directory
+home_dir = os.path.expanduser("~")
+cache_dir = os.path.join(home_dir, ".cache", "shl")
+os.makedirs(cache_dir, exist_ok=True)
 
 os.environ["TRANSFORMERS_CACHE"] = cache_dir
 os.environ["HF_HOME"] = cache_dir
@@ -181,7 +184,7 @@ def extract_attributes(distances, indices):
                     # Use Gemma to analyze the assessment details with a structured prompt
                     llm_chain = get_llm()
                     analysis = llm_chain.invoke(
-                        f"""Assessment Data:
+                        """Assessment Data:
                         {extracted_text}
                         
                         Please analyze this specific assessment and provide a focused, assessment-specific output with these exact section headers. Avoid general company information.