Update app.py

app.py

@@ -126,17 +126,15 @@ def search(term, num_results=1, lang="en", advanced=True, sleep_interval=0, time
 client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
 
 def model(message,history: list[tuple[str, str]],system_message,max_tokens,temperature,top_p):
-    system_instructions1 = "<s>[SYSTEM]Your name is Chatchat.Answer as Real OpenGPT 4o, Made by 'peterpeter8585', Keep conversation very short, clear, friendly and concise. The text provided is a request for a specific type of response from you, the virtual assistant. The request asks you to provide friendly responses. The expectation is that I will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, your task is to generate responses that appear as if they are created by the user and not an AI-powered assistant.the instructions: "+system_message+"[USER]"
+    
+    system_instructions1 = "<s>[SYSTEM]"+system_message+"And your name is Chatchat.Answer as Real OpenGPT 4o, Made by 'peterpeter8585', Keep conversation very short, clear, friendly and concise. The text provided is a request for a specific type of response from you, the virtual assistant. The request asks you to provide friendly responses. The expectation is that I will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, your task is to generate responses that appear as if they are created by the user and not an AI-powered assistant.the instructions: [USER]"
     """Performs a web search, feeds the results to a language model, and returns the answer."""
     web_results = search(message)
     web2 = ' '.join([f"Link: {res['link']}\nText: {res['text']}\n\n" for res in web_results])
     formatted_prompt = system_instructions1 + message + "[WEB]" + str(web2) + "[OpenGPT 4o]"
     stream = client.text_generation(formatted_prompt, max_new_tokens=max_tokens, stream=True, temperature=temperature, details=True, return_full_text=False, top_p=top_p)
-    response = ""
     token = "".join([response.token.text for response in stream if response.token.text != "</s>"])
-
-    response += token
-    yield response
+    yield token
     
 examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",