Update app.py

app.py

@@ -221,7 +221,6 @@ Extracted Skills:
             chunk_parser = nltk.RegexpParser(grammar)
             tokens = nltk.word_tokenize(text_lower)
             tagged_tokens = nltk.pos_tag(tokens)
-            chunked_text = chunk_parser.parse(tagged_tokens)
             potential_skills = set()
             for subtree in chunked_text.subtrees():
                 if subtree.label() == 'NP':
@@ -230,12 +229,10 @@ Extracted Skills:
                         potential_skills.add(_norm_skill_token(phrase))
             return sorted(list(potential_skills))
             
-        # NEW: Third extraction method for maximum coverage
         def extract_skills_direct_scan(text: str) -> list[str]:
             if not isinstance(text, str): return []
             found_skills = set()
             for skill in SKILL_WHITELIST:
-                # Use word boundaries to avoid matching substrings like 'art' in 'startup'
                 if re.search(r'\b' + re.escape(skill) + r'\b', text, re.IGNORECASE):
                     found_skills.add(skill)
             return list(found_skills)
@@ -244,7 +241,6 @@ Extracted Skills:
             llm_skills = extract_skills_llm(text)
             nltk_skills = extract_skills_nltk(text)
             direct_skills = extract_skills_direct_scan(text)
-            # Combine all sources and return a unique, sorted list
             combined_skills = set(llm_skills) | set(nltk_skills) | set(direct_skills)
             return sorted(list(combined_skills))
 
@@ -431,4 +427,14 @@ with gr.Blocks(theme=gr.themes.Soft()) as ui:
             with gr.TabItem("Duties"): duties_markdown = gr.Markdown()
             with gr.TabItem("Qualifications"): qualifications_markdown = gr.Markdown()
             with gr.TabItem("Full Description"): description_markdown = gr.Markdown()
-        learning_plan_output = gr.HTML(label="Learning
+        learning_plan_output = gr.HTML(label="Learning Plan")
+        load_more_btn = gr.Button("Load More Skills", visible=False)
+    search_btn.click(fn=find_matches_and_rank_with_check, inputs=[dream_text, topk_slider, skills_text], outputs=[status_text, initial_matches_state, df_output, job_selector, details_accordion, spelling_alert, spelling_row])
+    search_anyway_btn.click(fn=find_matches_and_rank_anyway, inputs=[dream_text, topk_slider, skills_text], outputs=[status_text, initial_matches_state, df_output, job_selector, details_accordion, spelling_alert, spelling_row])
+    retype_btn.click(lambda: ("Status: Ready for you to retype.", None, pd.DataFrame(), gr.Dropdown(visible=False), gr.Accordion(visible=False), gr.Markdown(visible=False), gr.Row(visible=False)), outputs=[status_text, initial_matches_state, df_output, job_selector, details_accordion, spelling_alert, spelling_row])
+    reset_btn.click(fn=on_reset, outputs=[dream_text, topk_slider, skills_text, df_output, initial_matches_state, job_selector, details_accordion, status_text, job_details_markdown, duties_markdown, qualifications_markdown, description_markdown, spelling_alert, spelling_row, missing_skills_state, skills_offset_state, load_more_btn], queue=False)
+    rerank_btn.click(fn=rerank_current_results, inputs=[initial_matches_state, skills_text, topk_slider], outputs=[status_text, df_output, job_selector])
+    job_selector.change(fn=on_select_job, inputs=[job_selector, skills_text], outputs=[job_details_markdown, duties_markdown, qualifications_markdown, description_markdown, learning_plan_output, details_accordion, missing_skills_state, skills_offset_state, load_more_btn])
+    load_more_btn.click(fn=load_more_skills, inputs=[missing_skills_state, skills_offset_state], outputs=[learning_plan_output, skills_offset_state, load_more_btn])
+
+ui.launch()