Update email_automation.py

email_automation.py

@@ -1,47 +1,47 @@
-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
-)
-
-email_automation = Agent(
-    role="Email Automation Agent",
-    goal="Generate personalized, professional emails for candidates",
-    backstory="An expert in crafting tailored email communication",
-    llm=llm,
-    verbose=True,
-    allow_delegation=False
-)
-
-def simulate_email_api(email_content, recipient):
-    logging.info(f"Simulated email sent to {recipient}")
-    return {"status": "success", "message": f"Email sent to {recipient}"}
-
-def create_email_task(candidate_name, email_type, job_title, details=None, recipient_email=None):
-    if email_type == "interview_invite":
-        prompt = f"Generate a personalized, professional email inviting {candidate_name} to an interview for the {job_title} position. Include the scheduled time: {details}. Address it to {candidate_name} and ensure it’s friendly yet formal. Use {recipient_email} as the recipient’s email in the salutation if provided."
-    else:  
-        prompt = f"Generate a personalized email updating the hiring team about {candidate_name}’s status for the {job_title} position. Include details: {details}. Keep it concise and professional."
-    return Task(
-        description=prompt,
-        agent=email_automation,
-        expected_output="A fully drafted, personalized email."
-    )
-
-if __name__ == "__main__":
-    task = create_email_task("John Doe", "interview_invite", "Senior Python Developer", "March 25, 2025, 10:00 AM", "[email protected]")
-    crew = Crew(agents=[email_automation], tasks=[task], verbose=True)
-    email_content = crew.kickoff()
-    result = simulate_email_api(email_content, "[email protected]")
-    print("Email Content:", email_content)
+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
+)
+
+email_automation = Agent(
+    role="Email Automation Agent",
+    goal="Generate personalized, professional emails for candidates",
+    backstory="An expert in crafting tailored email communication",
+    llm=llm,
+    verbose=True,
+    allow_delegation=False
+)
+
+def simulate_email_api(email_content, recipient):
+    logging.info(f"Simulated email sent to {recipient}")
+    return {"status": "success", "message": f"Email sent to {recipient}"}
+
+def create_email_task(candidate_name, email_type, job_title, details=None, recipient_email=None):
+    if email_type == "interview_invite":
+        prompt = f"Generate a personalized, professional email inviting {candidate_name} to an interview for the {job_title} position. Include the scheduled time: {details}. Address it to {candidate_name} and ensure it’s friendly yet formal. Use {recipient_email} as the recipient’s email in the salutation if provided."
+    else:  
+        prompt = f"Generate a personalized email updating the hiring team about {candidate_name}’s status for the {job_title} position. Include details: {details}. Keep it concise and professional."
+    return Task(
+        description=prompt,
+        agent=email_automation,
+        expected_output="A fully drafted, personalized email."
+    )
+
+if __name__ == "__main__":
+    task = create_email_task("John Doe", "interview_invite", "Senior Python Developer", "March 25, 2025, 10:00 AM", "[email protected]")
+    crew = Crew(agents=[email_automation], tasks=[task], verbose=True)
+    email_content = crew.kickoff()
+    result = simulate_email_api(email_content, "[email protected]")
+    print("Email Content:", email_content)
     print("API Response:", result)