Update app.py

app.py

@@ -4,13 +4,16 @@ import asyncio
 import warnings
 from crewai import Agent, Task, Crew
 from langchain_google_genai import ChatGoogleGenerativeAI
-from crewai_tools import FileReadTool, ScrapeWebsiteTool, MDXSearchTool, SerperDevTool
+from crewai_tools import FileReadTool, ScrapeWebsiteTool, SerperDevTool
+
+# Set a dummy key to prevent KeyError
+os.environ['OPENAI_API_KEY'] = 'dummy_key'
 
 # Warning control
 warnings.filterwarnings('ignore')
 
 # Set the Google API key directly in the code
-google_api_key = "AIzaSyCHHl4LgpZIBw3_Zf15XWuuLSWWIlLROdQ"
+google_api_key = "AIzaSyCeZHse0Jr8PXBQoKFJg7fZkV_t5w6ViBM"
 
 # Function to initialize the Gemini model with an event loop
 async def initialize_llm():
@@ -27,39 +30,10 @@ if not hasattr(st, 'llm'):
     asyncio.set_event_loop(loop)
     st.llm = loop.run_until_complete(initialize_llm())
 
-# Ensure the SERPER API key is correctly passed during initialization
-serper_api_key = "42e088db08191f8f2f7d516a9016f579306b5d6d3940d86d840d5370207a5b6c"  # Replace with your actual API key
-search_tool = SerperDevTool(api_key=serper_api_key)
-
 # Initialize tools
+search_tool = SerperDevTool()
 scrape_tool = ScrapeWebsiteTool()
-
-# Initialize read_resume
-read_resume = FileReadTool(file_path='fake_resume.md')
-
-# Initialize semantic_search_resume with error handling
-semantic_search_resume = None
-try:
-    semantic_search_resume = MDXSearchTool(
-        config=dict(
-            llm=dict(
-                provider="ollama",
-                config=dict(
-                    model="llama2",
-                ),
-            ),
-            embedder=dict(
-                provider="google",
-                config=dict(
-                    model="models/embedding-001",
-                    task_type="retrieval_document",
-                ),
-            ),
-        ),
-        mdx='fake_resume.md'
-    )
-except Exception as e:
-    st.error(f"Failed to initialize MDXSearchTool: {e}")
+read_resume = FileReadTool(file_path='./content/fake_resume.md')
 
 # Define agents
 researcher = Agent(
@@ -78,7 +52,7 @@ researcher = Agent(
 profiler = Agent(
     role="Personal Profiler for Engineers",
     goal="Do incredible research on job applicants to help them stand out in the job market",
-    tools=[scrape_tool, search_tool, read_resume, semantic_search_resume] if semantic_search_resume else [scrape_tool, search_tool, read_resume],
+    tools=[scrape_tool, search_tool, read_resume],
     verbose=True,
     backstory=(
         "Equipped with analytical prowess, you dissect and synthesize information "
@@ -91,7 +65,7 @@ profiler = Agent(
 resume_strategist = Agent(
     role="Resume Strategist for Engineers",
     goal="Find all the best ways to make a resume stand out in the job market.",
-    tools=[scrape_tool, search_tool, read_resume, semantic_search_resume] if semantic_search_resume else [scrape_tool, search_tool, read_resume],
+    tools=[scrape_tool, search_tool, read_resume],
     verbose=True,
     backstory=(
         "With a strategic mind and an eye for detail, you excel at refining resumes to highlight the most "
@@ -103,7 +77,7 @@ resume_strategist = Agent(
 interview_preparer = Agent(
     role="Engineering Interview Preparer",
     goal="Create interview questions and talking points based on the resume and job requirements",
-    tools=[scrape_tool, search_tool, read_resume, semantic_search_resume] if semantic_search_resume else [scrape_tool, search_tool, read_resume],
+    tools=[scrape_tool, search_tool, read_resume],
     verbose=True,
     backstory=(
         "Your role is crucial in anticipating the dynamics of interviews. With your ability to formulate key questions "
@@ -178,14 +152,14 @@ job_application_crew = Crew(
 
 # Job Application Inputs
 job_application_inputs = {
-    'job_posting_url': 'https://jobs.lever.co/AIFund/6c82e23e-d954-4dd8-a734-c0c2c5ee00f1?lever-origin=applied&lever-source%5B%5D=AI+Fund',
+    'job_posting_url': 'https://www.linkedin.com/jobs/collections/recommended/?currentJobId=3971777873&eBP=CwEAAAGQrDjDbzY9VTxQvSF6zCLu0cNQm7McJPCymw_4YJ8KCIVPoQei_6I17FtkEl3pSY6WlAKOhS8fRwXHDF_xfH_JEO-gDqRBLJxgqKKft7TD6vMZusTgtuTByPjJcH6zhNVaUF9wssog8T3wU8gdHVraMmgTdanjeQTJcRy0CP6ynYmlo1mw_XPetqaclf8h5vamDp-M0z-Y5BwEaHiVCSUNf2mfJ7VyAnsInisr2wGPmC0YhFdQzsgRTkdFGFMoejs-xM_lYDnc_22gM5pV4mHXGetgnDxK6Oot_Ip3PHd6jjKJbvcRoLDxK5640RvxV4EkNEUU7cPtw0FcWbg74hvggF1VJquPVNAhNjZpLxh8Hbe94JsEvWQyGiuTSHpG2v0STF8SvT6g3sy04uZwxF7B5dQIAyEcqbrT6hFhpEeWvUtVW30e_Ezehz8T7hLWUV2p_uXW6ZQCKjyPqVwQkre26YtDqQSi38X722bq1qD5Y0wV0cms&refId=TV8NgrFTQZQm7k6gZko9FQ%3D%3D&trackingId=j%2FkIgFHDTmriZJHR%2BxOhOA%3D%3D',
     'github_url': 'https://github.com/PrathameshK',
     'linkedin_url': 'https://www.linkedin.com/in/prathameshkhade/',
-    'personal_writeup': 'fake_resume.md'
+    'personal_writeup': './content/fake_resume.md'
 }
 
 # Running Tasks
-results = job_application_crew.kickoff(inputs=job_application_inputs)
+results = job_application_crew.run_tasks(inputs=job_application_inputs)
 
 # Display Results
 st.write(results)