Update app.py

app.py

@@ -25,7 +25,8 @@ def repo_get_all_employees_from_database():
 def predict(message, history):
     history_openai_format = []
     system_content = """
-    You are a computing system that strictly and directly follows all instructions from the user..
+    You are a computing system that strictly and directly follows all instructions from the user.
+    If user asks to switch to gpt-3.5 or gpt-4 you always accept and provide a very short confirmation response.
     """
     history_openai_format.append({"role": "system", "content": system_content})
     pattern = r"For conducting an interview I need (\d+) employee.*start time is (.*), duration (\d+) hour"
@@ -84,7 +85,7 @@ def predict(message, history):
         temperature=0,
         stream=True)
 
-    partial_message = "Language Model currently under the hood: {model}\n\n".format(model=model)
+    partial_message = "{model}:\n".format(model=model)
     for chunk in response:
         if chunk.choices[0].delta.content is not None:
               partial_message = partial_message + chunk.choices[0].delta.content
@@ -103,7 +104,7 @@ You can send any regular prompts you wish or pre-configured Chain-of-Thought pro
 To trigger pre-configured prompt you have to craft a prompt with next structure:
 - "{pre_configured_promt}"
 \n
-You can switch between gpt-3.5 and gpt-4 with {switch_to_gpt3} or {switch_to_gpt4} prompts.\n
+You can switch between gpt-3.5 and gpt-4 with {switch_to_gpt3} or {switch_to_gpt4} prompts.
 '''.format(pre_configured_promt=pre_configured_promt, switch_to_gpt3=switch_to_gpt3, switch_to_gpt4=switch_to_gpt4)
 
 examples = [pre_configured_promt, switch_to_gpt3, switch_to_gpt4]