changed the model to llama-3.1-8b-instant , added secrets to initialize groq_api_key

extraction.py

@@ -55,11 +55,10 @@ def initialize_llm() -> ChatGroq:
 
     # os.environ['GROQ_API_KEY'] = os.getenv("GROQ_API_KEY")
     # groq_api_key = os.getenv("GROQ_API_KEY")
-    try:
-        groq_api_key = st.secrets["GROQ_API_KEY"]
+    
+    groq_api_key = st.secrets["GROQ_API_KEY"]
 
-    except:
-        groq_api_key = os.getenv("GROQ_API_KEY")
+    
 
     if not groq_api_key:
         logger.error("GROQ_API_KEY is not set")

requirements.txt

@@ -1,24 +1,3 @@
-# langchain
-# python-dotenv
-# ipykernel
-# langchain-community
-# streamlit
-# pypdf
-# pymupdf
-# langchain-text-splitters
-# langchain-openai
-# chromadb
-# sentence_transformers
-# langchain_huggingface
-# faiss-cpu
-# langchain_chroma
-# openai
-# langchain-groq
-# pdfplumber
-# prettytable
-# python-jobspy
-# scikit-learn
-
 langchain==0.3.7
 python-dotenv==1.0.1
 ipykernel==6.29.5

resume_advance_analysis.py

@@ -10,8 +10,10 @@ import logging
 # logger = logging.getLogger(__name__)
 
 
-os.environ['GROQ_API_KEY'] = os.getenv("GROQ_API_KEY")
-groq_api_key = os.getenv("GROQ_API_KEY")
+# os.environ['GROQ_API_KEY'] = os.getenv("GROQ_API_KEY")
+# groq_api_key = os.getenv("GROQ_API_KEY")
+
+groq_api_key = st.secrets["GROQ_API_KEY"]
 
 class ResumeImprovementEngine: 
     def __init__(self):
@@ -93,7 +95,7 @@ class ResumeImprovementEngine:
                             "content": prompt
                         }
                     ],
-                    model="mixtral-8x7b-32768",
+                    model="llama-3.3-70b-versatile",
                     temperature=0.7,
                     max_tokens=2048,
                     top_p=1,