Update app.py

app.py

@@ -6,8 +6,7 @@ from crewai import Agent, Task, Crew
 from langchain_google_genai import ChatGoogleGenerativeAI
 from crewai_tools import FileReadTool, ScrapeWebsiteTool, MDXSearchTool, SerperDevTool
 
-# Set a dummy key to prevent KeyError
-os.environ['OPENAI_API_KEY'] = 'dummy_key'
+
 
 # Warning control
 warnings.filterwarnings('ignore')
@@ -35,26 +34,28 @@ search_tool = SerperDevTool()
 scrape_tool = ScrapeWebsiteTool()
 read_resume = FileReadTool(file_path='./fake_resume.md')
 
-# Ensure the path to the resume and configuration are correct
-emantic_search_resume = MDXSearchTool(
-    config=dict(
-        llm=dict(
-            provider="ollama",
-            config=dict(
-                model="llama2",
+# Attempt to initialize MDXSearchTool
+try:
+    emantic_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",
+            embedder=dict(
+                provider="google",
+                config=dict(
+                    model="models/embedding-001",
+                    task_type="retrieval_document",
+                ),
             ),
         ),
-    ),
-    mdx='./fake_resume.md'  # Ensure this path is correct
-)
-
+        mdx='./fake_resume.md'
+    )
+except Exception as e:
+    st.error(f"Failed to initialize MDXSearchTool: {e}")
 
 # Define agents
 researcher = Agent(
@@ -173,22 +174,14 @@ job_application_crew = Crew(
 
 # Job Application Inputs
 job_application_inputs = {
-    'job_posting_url': 'https://www.linkedin.com/jobs/search/?alertAction=viewjobs&currentJobId=3971168247&distance=25&f_TPR=a1720706267-&f_WT=1%2C3%2C2&geoId=105524837&keywords=data%20scientist&origin=JOB_ALERT_IN_APP_NOTIFICATION&originToLandingJobPostings=3971106469&savedSearchId=1741028074&sortBy=R',
-    'github_url': 'https://github.com/Pk-Kolhapurkar',
-    'linkedin_url': 'https://www.linkedin.com/in/prathamesh-khade-434615217/',
-    'personal_writeup': """
-    Prathamesh Khade is an accomplished Software Engineering Leader with experience in managing teams,
-    specializing in multiple programming languages and frameworks. He holds a strong background in AI and data science.
-    Prathamesh has successfully led major tech initiatives, proving his ability to drive innovation and growth in the tech industry.
-    Ideal for leadership roles that require a strategic and innovative approach."""
+    'job_posting_url': 'https://www.linkedin.com/jobs/search/?alertAction=viewjobs&currentJobId=3971168247&distance=25&f_TPR=a1720706267-&f_WT=1%2C3%2C2&geoId=105524837&keywords=data%20scientist&origin=JOB_ALERT_IN_APP_NOTIFICATION&originToLandingJobPostings=3971101316%2C3971168247%2C3967271270&searchSessionId=8zvx%2B0XyTXGBHQHqUmPRDQ%3D%3D',
+    'github_url': 'https://github.com/PrathameshK',
+    'linkedin_url': 'https://www.linkedin.com/in/prathameshkhade/',
+    'personal_writeup': './fake_resume.md'
 }
 
-# Kickoff the Crew Execution
-result = job_application_crew.kickoff(inputs=job_application_inputs)
-
-# Display results
-st.markdown("# Tailored Resume")
-st.markdown(open("tailored_resume.md").read())
+# Running Tasks
+results = job_application_crew.run_tasks(inputs=job_application_inputs)
 
-st.markdown("# Interview Materials")
-st.markdown(open("interview_materials.md").read())
+# Display Results
+st.write(results)