Update app.py

app.py

@@ -32,6 +32,11 @@ def med_score(x):
     score_1 = x['score']
     return score_1
 
+def sym_score(x):
+    label = x['label']
+    score_1 = x['score']
+    return score_1
+
 ##
 
 def adr_predict(x):
@@ -44,14 +49,15 @@ def adr_predict(x):
     local_plot = shap.plots.text(shap_values[0], display=False)
 
     med = med_score(classifier(x+str(", There is a medication."))[0])
+    sym = sym_score(classifier(x+str(", There is a symptom."))[0])
    
-    return {"Severe Reaction": float(scores.numpy()[1]), "Non-severe Reaction": float(scores.numpy()[0])}, local_plot, {"Contains Medication": float(med), "No Medications": float(1-med)}
+    return {"Severe Reaction": float(scores.numpy()[1]), "Non-severe Reaction": float(scores.numpy()[0])}, local_plot, {"Contains Medication": float(med), "No Medications": float(1-med)}, {"Contains Symptoms": float(sym), "No Symptoms": float(1-sym)}
 
 
 def main(prob1):
     text = str(prob1).lower()
     obj = adr_predict(text)
-    return obj[0],obj[1],obj[2]
+    return obj[0],obj[1],obj[2],obj[3]
 
 title = "Welcome to **ADR Detector** 🪐"
 description1 = """This app takes text (up to a few sentences) and predicts to what extent the text describes severe (or non-severe) adverse reaction to medicaitons. Please do NOT use for medical diagnosis."""
@@ -64,22 +70,23 @@ with gr.Blocks(title=title) as demo:
     submit_btn = gr.Button("Analyze")
 
     with gr.Row():
+        label = gr.Label(label = "Predicted Label")
         local_plot = gr.HTML(label = 'Shap:')
 
         with gr.Column(visible=True) as output_col:
-            label = gr.Label(label = "Predicted Label")
             med = gr.Label(label = "Contains Medication")
-        
+            sym = gr.Label(label = "Contains Symptoms")
+            
     submit_btn.click(
         main,
         [prob1],
         [label
-         ,local_plot, med
+         ,local_plot, med, sym
         ], api_name="adr"
     )
 
     gr.Markdown("### Click on any of the examples below to see to what extent they contain resilience messaging:")
-    gr.Examples([["I have severe pain."],["I have minor pain."]], [prob1], [label,local_plot, med
+    gr.Examples([["I had severe headache after taking Aspirin."],["I had minor headache after taking Acetaminophen."]], [prob1], [label,local_plot, med, sym
                                                                           ], main, cache_examples=True)
     
 demo.launch()