Update app.py

app.py

@@ -19,10 +19,23 @@ tokenizer,model,device = load_tokenizer_and_model(base_model)
 
 
 
-def predict(text, chatbotGr, history):
-    #global antwort
-    inputs = generate_prompt_with_history(text,history,tokenizer,max_length=max_context_length_tokens)
+def predict(text,
+            chatbotGr,
+            history,
+            top_p,
+            temperature,
+            max_length_tokens,
+            max_context_length_tokens,):
+    if text=="":
+        yield chatbotGr,history,"Empty context."
+        return 
+    try:
+        model
+    except:
+        yield [[text,"No Model Found"]],[],"No Model Found"
+        return
 
+    inputs = generate_prompt_with_history(text,history,tokenizer,max_length=max_context_length_tokens)
     if inputs is None:
         yield chatbotGr,history,"Input too long."
         return 
@@ -64,17 +77,6 @@ def predict(text, chatbotGr, history):
     except:
         pass
 
-"""   
-    if inputs is None:
-        #antwort=""
-        yield chatbotGr,history,"Eingabe zu lang."
-        return 
-    else:
-        prompt,inputs=inputs
-        #begin_length = len(prompt)
-        
-    antwort = chatbot.chat(prompt)
-"""
 
 def reset_chat():
     id_new = chatbot.new_conversation()