Update hire_recommendation.py

hire_recommendation.py

@@ -1,32 +1,32 @@
-from crewai import Agent, Task, Crew
-from langchain_groq import ChatGroq
-from dotenv import load_dotenv
-import os
-import logging
-
-load_dotenv()
-logging.basicConfig(filename="Logs/app.log", level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
-
-llm = ChatGroq(
-    api_key=os.getenv("GROQ_API_KEY"),
-    model="llama3-70b-8192",
-    temperature=0.5,
-    max_tokens=1000
-)
-
-hire_recommendation_agent = Agent(
-    role="Hire Recommendation Agent",
-    goal="Analyze transcripts for fair hiring decisions",
-    backstory="An expert in candidate evaluation",
-    llm=llm,
-    verbose=True,
-    allow_delegation=False
-)
-
-def create_hire_recommendation_task(transcript):
-    prompt = f"Analyze this transcript: '{transcript}'. Provide strengths, weaknesses, and a Hire/No-Hire decision. Ensure fairness by avoiding bias based on gender, age, or ethnicity. Flag any biased language or assumptions."
-    return Task(
-        description=prompt,
-        agent=hire_recommendation_agent,
-        expected_output="Analysis with strengths, weaknesses, Hire/No-Hire, and bias flags."
+from crewai import Agent, Task, Crew
+from langchain_groq import ChatGroq
+from dotenv import load_dotenv
+import os
+import logging
+
+load_dotenv()
+logging.basicConfig(filename="app.log", level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
+
+llm = ChatGroq(
+    api_key=os.getenv("GROQ_API_KEY"),
+    model="llama3-70b-8192",
+    temperature=0.5,
+    max_tokens=1000
+)
+
+hire_recommendation_agent = Agent(
+    role="Hire Recommendation Agent",
+    goal="Analyze transcripts for fair hiring decisions",
+    backstory="An expert in candidate evaluation",
+    llm=llm,
+    verbose=True,
+    allow_delegation=False
+)
+
+def create_hire_recommendation_task(transcript):
+    prompt = f"Analyze this transcript: '{transcript}'. Provide strengths, weaknesses, and a Hire/No-Hire decision. Ensure fairness by avoiding bias based on gender, age, or ethnicity. Flag any biased language or assumptions."
+    return Task(
+        description=prompt,
+        agent=hire_recommendation_agent,
+        expected_output="Analysis with strengths, weaknesses, Hire/No-Hire, and bias flags."
     )