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export.py

@@ -16,38 +16,9 @@ from typing import Optional
 # ─── LLM Formatter ──────────────────────────────────────────────────
 
 def _format_with_llm(raw_report: str, format_type: str) -> Optional[str]:
-    """Use Qwen2.5-72B-Instruct to polish the report into professional format."""
-    token = os.environ.get("HF_TOKEN", "")
-    if not token:
-        return None
-    
-    try:
-        from openai import OpenAI
-        client = OpenAI(base_url="https://router.huggingface.co/v1", api_key=token)
-        
-        system = f"""You are a professional forensic report formatter. Take the raw FORENSIQ analysis data and reformat it into a clean, professional {format_type} document.
-
-Rules:
-- Preserve ALL data, scores, and findings exactly as given — do not invent or modify any values
-- Organize with clear headers, tables, and sections
-- Use professional forensic language
-- Include the verdict, probability, all agent findings, and methodology statement
-- For PDF/DOCX: structure with numbered sections (I, II, III...)
-- For TXT: use clean ASCII formatting with consistent indentation
-- Keep it concise but complete — every data point must appear"""
-
-        resp = client.chat.completions.create(
-            model="Qwen/Qwen2.5-72B-Instruct",
-            messages=[
-                {"role": "system", "content": system},
-                {"role": "user", "content": f"Format this forensic report for {format_type} export:\n\n{raw_report[:8000]}"}
-            ],
-            max_tokens=4000,
-            temperature=0.1,
-        )
-        return resp.choices[0].message.content
-    except Exception as e:
-        return None
+    """Skip LLM formatting — export instantly with raw data.
+    The reports from explanation.py are already professionally formatted."""
+    return None
 
 
 # ─── Strip Markdown Helper ──────────────────────────────────────────