Update app.py

app.py

@@ -1,43 +1,39 @@
 import gradio as gr
-from owl.agents import Agent
+from camel.agents import AssistantAgent, UserAgent
 
 # Job Search Agent
-class JobSearchAgent(Agent):
+class JobSearchAgent(AssistantAgent):
     def __init__(self):
         super().__init__(
             role="Job Search Agent",
-            goal="Find job postings",
-            tools=[],  # No RedditToolkit to avoid API setup
-            llm=None   # No LLM to simplify; mock search logic instead
+            description="Finds job postings based on user keywords."
         )
     
     def search_jobs(self, keywords):
-        # Mock search results (replace with real toolkit logic later if needed)
+        # Mock job search results (no external APIs)
         return [f"Job: {keywords} Developer at MockCorp", 
                 f"Job: Senior {keywords} Engineer at TestInc"]
 
 # Resume Tailoring Agent
-class ResumeTailoringAgent(Agent):
+class ResumeTailoringAgent(AssistantAgent):
     def __init__(self):
         super().__init__(
             role="Resume Tailoring Agent",
-            goal="Suggest resume keywords",
-            tools=[],
-            llm=None  # No LLM; use simple text processing
+            description="Suggests keywords to improve a resume based on a job description."
         )
     
     def suggest_keywords(self, job_description, resume):
-        # Simple keyword extraction (mocked for demo)
+        # Simple mock logic to suggest keywords
         job_words = set(job_description.lower().split())
         resume_words = set(resume.lower().split())
         missing = job_words - resume_words
-        return list(missing)[:5]  # Limit to 5 suggestions
+        return list(missing)[:5]  # Return top 5 missing keywords
 
-# Initialize agents
+# Initialize the agents
 job_search_agent = JobSearchAgent()
 resume_tailoring_agent = ResumeTailoringAgent()
 
-# Gradio functions
+# Gradio interface functions
 def search_jobs(keywords):
     try:
         results = job_search_agent.search_jobs(keywords)
@@ -52,9 +48,9 @@ def tailor_resume(job_desc, resume):
     except Exception as e:
         return f"Error: {str(e)}"
 
-# Gradio interface
+# Build the Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("# Autonomous Job Search and Prep Companion")
+    gr.Markdown("# Autonomous Job Search and Prep Companion (CAMEL-AI)")
     
     with gr.Tab("Job Search"):
         keywords = gr.Textbox(label="Enter keywords (e.g., Python)")
@@ -63,8 +59,8 @@ with gr.Blocks() as demo:
         search_btn.click(search_jobs, inputs=keywords, outputs=job_output)
     
     with gr.Tab("Resume Tailoring"):
-        job_desc = gr.Textbox(label="Job Description", lines=3)
-        resume = gr.Textbox(label="Your Resume", lines=3)
+        job_desc = gr.Textbox(label="Paste Job Description", lines=3)
+        resume = gr.Textbox(label="Paste Your Resume", lines=3)
         tailor_btn = gr.Button("Get Suggestions")
         suggestions = gr.Textbox(label="Suggestions")
         tailor_btn.click(tailor_resume, inputs=[job_desc, resume], outputs=suggestions)