Update app.py

app.py

@@ -34,20 +34,22 @@ tokenizer = AutoTokenizer.from_pretrained("medalpaca/medalpaca-7b")
 
 #load the first interface
 
-loaded_rf = joblib.load("model_joblib")
-
 def fn(*args):
-    all_symptoms = [symptom for symptom_list in args for symptom in symptom_list]
-    if len(all_symptoms) > 17:
-        raise gr.Error("Please select a maximum of 17 symptoms.")
-    elif len(all_symptoms) < 3:
-        raise gr.Error("Please select at least 3 symptoms.")
-    symptoms = all_symptoms  # Update global symptoms list
-    return predd(loaded_rf,symptoms)
+  global symptoms
+  all_symptoms = [symptom for symptom_list in args for symptom in symptom_list]
+
+  if len(all_symptoms) > 17:
+    raise gr.Error("Please select a maximum of 17 symptoms.")
+  elif len(all_symptoms) < 3:
+    raise gr.Error("Please select at least 3 symptoms.")
 
+  symptoms = all_symptoms  # Update global symptoms list
+  return predd(loaded_rf,symptoms)
 
 
 
+symptoms = []
+
 
 
 demo = gr.Interface(
@@ -88,7 +90,8 @@ def predict(message, history):
   return tokenizer.decode(output_tokens[0], skip_special_tokens=True).replace(prompt,"")
 
 
-Fmessage="Hi, How can I help you"
+loaded_rf = joblib.load("model_joblib")
+Fmessage="hello im here to help you!"
 
 
 
@@ -97,4 +100,4 @@ chatbot=gr.ChatInterface(predict, chatbot=gr.Chatbot(value=[(None, Fmessage)],),
 
 gr.TabbedInterface(
     [demo, chatbot], ["symptoms checker", "chatbot"]
-).launch()
+).queue().launch()