positining and prompting

app.py

@@ -365,7 +365,8 @@ optimize_resume_task = Task(
                 - Content improvements with before/after examples
                 - Skills to highlight based on job match
                 - Achievements to add or modify
-                - ATS optimization recommendations""",
+                - ATS optimization recommendations
+                4. Make sure not to add skills that are not there in the candidate but you can extract the relavent skills from candidate""",
     expected_output= """
                 Structured JSON data containing detailed optimization suggestions according to
                 the ResumeOptimization model schema.""",
@@ -565,17 +566,17 @@ def process_resume(api_key, job_url, company_name, resume_pdf):
         return error_msg, []
 
 # Build Gradio UI
-with gr.Blocks(theme=gr.themes.Soft() ) as demo:
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("# 🤖 AI Resume Optimizer 🚀")
-    gr.Markdown("")
+    gr.Markdown("Get Complete analysis of your resume")
 
     api_key = gr.Textbox(label="🔑 OpenAI API Key", placeholder="Enter your API Key securely")
     job_url = gr.Textbox(label="🔗 Job URL", placeholder="Paste job listing URL here")
     company_name = gr.Textbox(label="🏢 Company Name", placeholder="Enter company name")
     resume_pdf = gr.File(label="📄 Upload Resume (PDF Only)")
+    btn = gr.Button("Optimize Resume")
 
     output = gr.Textbox(label="📝 AI Suggestions / Errors", interactive=True)
-    btn = gr.Button("Optimize Resume")
 
     output_files = gr.File(label="📂 Download Processed Files", interactive=True)