Update app.py

app.py

@@ -30,13 +30,10 @@ def highlight_keywords(resume_text, matched):
 def extract_missing_keywords_with_llm(job_desc, resume_text):
     prompt = f"""
 Given the following job description and resume, list the important skills, tools, and concepts from the job description that are missing or weakly represented in the resume.
-
 Job Description:
 {job_desc}
-
 Resume:
 {resume_text}
-
 Only list the missing keywords as bullet points.
 """
     result = summarizer(prompt, max_new_tokens=300, do_sample=True)[0]
@@ -46,15 +43,11 @@ Only list the missing keywords as bullet points.
 def build_dynamic_prompt(job_desc, resume_text, analyze_with_jd):
     prompt = f"""
 Analyze the resume below and organize it into meaningful categories (e.g., Skills, Education, Work Experience, etc.).
-
 If a job description is provided, compare it against the resume and suggest improvements section by section.
-
 Job Description:
 {job_desc if analyze_with_jd else '[None provided]'}
-
 Resume:
 {resume_text}
-
 Return structured Markdown with headers for each section and improvement suggestions.
 """
     return prompt
@@ -86,9 +79,11 @@ def create_ui():
                 analyze_checkbox = gr.Checkbox(label="Analyze with Job Description", value=True)
                 job_desc = gr.Textbox(label="Job Description", lines=6, placeholder="Paste job description here...")
                 resume_text = gr.Textbox(label="Resume Text", lines=16, placeholder="Paste resume content here...")
+                submit_btn = gr.Button("Analyze Resume")
             with gr.Column():
                 output_analysis = gr.Markdown(label="Resume Analysis and Suggestions")
 
+        submit_btn.click(fn=analyze_resume, inputs=[job_desc, resume_text, analyze_checkbox], outputs=output_analysis)
         job_desc.change(fn=analyze_resume, inputs=[job_desc, resume_text, analyze_checkbox], outputs=output_analysis)
         resume_text.change(fn=analyze_resume, inputs=[job_desc, resume_text, analyze_checkbox], outputs=output_analysis)