Update app.py

app.py

@@ -175,9 +175,7 @@ def llm_feedback(jd_struct: Dict, resume_struct: Dict, api_key: str, model: str,
     raw = deepinfra_chat(messages, api_key=api_key, model=model, temperature=temperature)
     return safe_json_loads(raw)
 
-# =========================
-# Scoring via LLM (0..10)
-# =========================
+
 def prompt_for_match(jd_struct: Dict[str, Any], cv_structs: List[Dict[str, Any]]) -> List[Dict[str, str]]:
     # compact candidates to reduce tokens
     compact_cands = []
@@ -245,9 +243,6 @@ def parse_ranked_output(content: str) -> List[Dict[str, Any]]:
     return rows
 
 
-# =========================
-# Pipeline
-# =========================
 def process(
     jd_text,
     jd_file,
@@ -386,9 +381,7 @@ f"""### Processing Metrics
     return metrics_md, df_show, csv_path, jd_pretty, top5_md
 
 
-# =========================
-# Gradio UI
-# =========================
+
 with gr.Blocks(title="JD ↔ Resume Matcher") as demo:
     gr.Markdown("# 📌 JD ↔ Resume Matcher\nPaste a Job Description and upload resumes to rank candidates (Score 0–10), get Top-5 details, and download a CSV.")
 
@@ -453,4 +446,4 @@ with gr.Blocks(title="JD ↔ Resume Matcher") as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(share=True)