Delete app.py

app.py

@@ -1,108 +0,0 @@
-import gradio as gr
-import json
-import pandas as pd
-
-# ----------------------------
-# LOAD DATA FRESH EVERY CLICK
-# ----------------------------
-def load_data():
-    with open("data.json", "r") as f:
-        raw = json.load(f)
-
-    if isinstance(raw, dict) and "patients" in raw:
-        return raw["patients"]
-    return raw
-
-# ----------------------------
-# SEPSIS SCORING
-# ----------------------------
-def sepsis_score(patient):
-    score = 0
-    findings = []
-
-    visits = patient.get("visits", [])
-    if not visits:
-        return "Low", ["No visit data"], []
-
-    labs = visits[-1].get("labs", [])
-
-    for lab in labs:
-        name = lab.get("lab_name")
-        value = lab.get("value")
-
-        if name == "WBC" and value > 12:
-            score += 1
-            findings.append(f"WBC {value}")
-
-        if name == "Glucose" and value > 140:
-            score += 1
-            findings.append(f"Glucose {value}")
-
-        if name == "Creatinine" and value > 1.3:
-            score += 1
-            findings.append(f"Creatinine {value}")
-
-    if score == 0:
-        severity = "Low"
-    elif score == 1:
-        severity = "Moderate"
-    else:
-        severity = "High"
-
-    return severity, findings, labs
-
-# ----------------------------
-# MAIN FUNCTION
-# ----------------------------
-def analyze(index):
-    df = load_data()   # <-- reload EVERY TIME (kills caching issues)
-
-    index = int(index)
-    print("INDEX:", index)
-
-    if index >= len(df):
-        index = 0
-
-    patient = df[index]
-
-    severity, findings, labs = sepsis_score(patient)
-
-    demo = patient.get("demographics", {})
-
-    summary = pd.DataFrame([{
-        "Index": index,
-        "PatientID": patient.get("patient_id"),
-        "Age": demo.get("age"),
-        "Sex": demo.get("sex"),
-        "Conditions": ", ".join(patient.get("conditions", []))
-    }])
-
-    labs_df = pd.DataFrame(labs)
-
-    explanation = f"Severity: {severity} | Findings: {findings}"
-
-    return summary, labs_df, severity, explanation
-
-# ----------------------------
-# UI
-# ----------------------------
-with gr.Blocks() as app:
-
-    gr.Markdown("# HipAAsynth Lab — FINAL FIX")
-
-    index = gr.Slider(0, 10, step=1, value=0, label="Patient Index")
-
-    btn = gr.Button("Analyze")
-
-    summary = gr.Dataframe()
-    labs = gr.Dataframe()
-    severity = gr.Textbox()
-    explanation = gr.Textbox()
-
-    btn.click(
-        analyze,
-        inputs=[index],
-        outputs=[summary, labs, severity, explanation]
-    )
-
-app.launch()