Update app.py

app.py

@@ -242,40 +242,39 @@ To achieve high fidelity without using private patient data, we developed a **Sy
 *Due to hardware constraints on the Free Tier CPU, live inference may be slow. Below are validated outputs from the model running on T4 GPU.*
 
 #### **Phase 1: The Scout (Logic Extraction)**
-*Input (Raw Note):* "Pt admitted for appendicitis. 45M. CT showed inflamed appendix. Taken to OR for Lap Appy. Uncomplicated. Discharged home on Percocet."
-*Output (JanusScript):*
-```javascript
-Hx(Appendicitis.Suspected);
-Sx(Pain.RightLowerQuadrant);
-Dx(Appendicitis.Confirmed);
-Lab(CT).result(InflamedAppendix);
-Tx(Surgery).action(LaparoscopicAppendectomy);
-Crs(PostOp).status(Uncomplicated);
-Tx(Meds).action(Percocet);
-Plan(Discharge.Home).
-Phase 2: The Vault (Reconstruction)
-Input (Protocol): Dx(Pneumonia); Tx(Meds).action(Antibiotics.IV); Crs(Response).result(Improved); Plan(Discharge.Home);
-Input (Secure DB): {"pt_name": "Walter White", "pt_mrn": "HEISEN-01", ...}
-Output (Final Document):
-code
-Text
-DISCHARGE SUMMARY
-Patient: Walter White (MRN: HEISEN-01)
-DOB: 1958-09-07 (Sex: M)
-Attending: Dr. Goodman (Internal Medicine)
-Dates: 2025-05-01 to 2025-05-05
-
-**History & Diagnosis:**
-The patient is a 67-year-old male who presented with fever, productive cough, and shortness of breath. Diagnosis was Pneumonia.
-
-**Hospital Course:**
-He was treated with IV antibiotics. His respiratory status improved, and he was able to maintain oxygen saturation on room air.
-
-**Discharge Plan:**
-The patient is discharged home.
-6. Conclusion
-Zero-Trust Validation: The "Vault" successfully reconstructs documents using only the database for identity.
-Semantic Expansion: The model demonstrates the ability to take a concise code (Dx(Pneumonia)) and expand it into fluent medical narrative ("Patient presented with symptoms consistent with Pneumonia...").
+**Input (Raw Note):**
+"Pt admitted for appendicitis. 45M. CT showed inflamed appendix. Taken to OR for Lap Appy. Uncomplicated. Discharged home on Percocet."
+
+**Output (JanusScript):**
+> Hx(Appendicitis.Suspected); Sx(Pain.RightLowerQuadrant); Dx(Appendicitis.Confirmed); Lab(CT).result(InflamedAppendix); Tx(Surgery).action(LaparoscopicAppendectomy); Crs(PostOp).status(Uncomplicated); Tx(Meds).action(Percocet); Plan(Discharge.Home).
+
+#### **Phase 2: The Vault (Reconstruction)**
+**Input (Protocol):**
+Dx(Pneumonia); Tx(Meds).action(Antibiotics.IV); Crs(Response).result(Improved); Plan(Discharge.Home);
+
+**Input (Secure DB):**
+{"pt_name": "Walter White", "pt_mrn": "HEISEN-01", ...}
+
+**Output (Final Document):**
+> DISCHARGE SUMMARY
+> Patient: Walter White (MRN: HEISEN-01)
+> DOB: 1958-09-07 (Sex: M)
+> Attending: Dr. Goodman (Internal Medicine)
+> Dates: 2025-05-01 to 2025-05-05
+>
+> **History & Diagnosis:**
+> The patient is a 67-year-old male who presented with fever, productive cough, and shortness of breath. Diagnosis was Pneumonia.
+>
+> **Hospital Course:**
+> He was treated with IV antibiotics. His respiratory status improved, and he was able to maintain oxygen saturation on room air.
+>
+> **Discharge Plan:**
+> The patient is discharged home.
+
+### 6. Conclusion
+*   **Zero-Trust Validation:** The "Vault" successfully reconstructs documents using *only* the database for identity.
+*   **Semantic Expansion:** The model demonstrates the ability to take a concise code (Dx(Pneumonia)) and expand it into fluent medical narrative ("Patient presented with symptoms consistent with Pneumonia...").
+```Semantic Expansion: The model demonstrates the ability to take a concise code (Dx(Pneumonia)) and expand it into fluent medical narrative ("Patient presented with symptoms consistent with Pneumonia...").
 """