Update app.py

app.py

@@ -5,12 +5,13 @@ import warnings
 from crewai import Agent, Task, Crew
 from langchain_google_genai import ChatGoogleGenerativeAI
 from crewai_tools import FileReadTool, ScrapeWebsiteTool, SerperDevTool
+import json
 
 # Warning control
 warnings.filterwarnings('ignore')
 
 # Set the Google API key directly in the code
-google_api_key = "AIzaSyDy02GtpV6-VcdeCZNLJT-c4kWuPxBRbrI"
+google_api_key = "AIzaSyCHHl4LgpZIBw3_Zf15XWuuLSWWIlLROdQ"
 
 # Function to initialize the Gemini model with an event loop
 async def initialize_llm():
@@ -124,6 +125,7 @@ resume_strategy_task = Task(
     expected_output=(
         "An updated resume that effectively highlights the candidate's qualifications and experiences relevant to the job."
     ),
+    output_file="tailored_resume.md",
     context=[research_task, profile_task],
     agent=resume_strategist
 )
@@ -137,6 +139,7 @@ interview_preparation_task = Task(
     expected_output=(
         "A document containing key questions and talking points that the candidate should prepare for the initial interview."
     ),
+    output_file="interview_materials.md",
     context=[research_task, profile_task, resume_strategy_task],
     agent=interview_preparer
 )
@@ -157,17 +160,22 @@ job_application_inputs = {
 }
 
 # Running Tasks
-results = job_application_crew.kickoff(inputs=job_application_inputs)
-
-# Display Results
-st.write("**Job Requirements:**")
-st.write(results['job_requirements'])
-
-st.write("**Personal Profile:**")
-st.write(results['personal_profile'])
-
-st.write("**Tailored Resume:**")
-st.write(results['tailored_resume'])
-
-st.write("**Interview Materials:**")
-st.write(results['interview_materials'])
+try:
+    # Assuming job_application_crew.kickoff is an async function
+    results = await job_application_crew.kickoff(inputs=job_application_inputs)
+    
+    # Print type and contents for debugging
+    st.write("Type of results:", type(results))
+    st.write("Contents of results:", results)
+    
+    # Check if results is a dictionary
+    if isinstance(results, dict):
+        # Display results based on their expected keys
+        st.write("Job Requirements:", results.get('job_requirements', 'No job requirements found'))
+        st.write("Personal Profile:", results.get('personal_profile', 'No personal profile found'))
+        st.write("Tailored Resume:", results.get('tailored_resume', 'No tailored resume found'))
+        st.write("Interview Materials:", results.get('interview_materials', 'No interview materials found'))
+    else:
+        st.write("Unexpected results format:", results)
+except Exception as e:
+    st.error(f"An error occurred: {e}")