Update app.py

app.py

@@ -17,7 +17,7 @@ pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
 # Function to build structured input and query the LLM
 def analyze(
     albumin, creatinine, glucose, crp, mcv, rdw, alp,
-    wbc, lymph, age, gender, height, weight, bmi
+    wbc, lymph, age, gender, height, weight
 ):
     # System-style instruction
     system_prompt = (
@@ -34,7 +34,6 @@ def analyze(
     - Gender: {gender}
     - Height: {height} cm
     - Weight: {weight} kg
-    - BMI: {bmi}
 
     Lab Values:
     - Albumin: {albumin} g/dL
@@ -93,7 +92,7 @@ with gr.Blocks() as demo:
     analyze_btn.click(
         fn=analyze,
         inputs=[albumin, creatinine, glucose, crp, mcv, rdw, alp,
-                wbc, lymph, age, gender, height, weight, bmi],
+                wbc, lymph, age, gender, height, weight],
         outputs=output
     )