Update chatbot.py

chatbot.py

@@ -207,7 +207,7 @@ def llava(user_prompt, chat_history):
     return inputs
 
 # Initialize inference clients for different models
-client_gemma = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
+client_mistral = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
 client_mixtral = InferenceClient("NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO")
 client_llama = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct")
 client_mistral_nemo = InferenceClient("mistralai/Mistral-Nemo-Instruct-2407")
@@ -247,7 +247,7 @@ def model_inference( user_prompt, chat_history):
         message_text = message["text"]
         func_caller.append({"role": "user", "content": f'[SYSTEM]You are a helpful assistant. You have access to the following functions: \n {str(functions_metadata)}\n\nTo use these functions respond with:\n<functioncall> {{ "name": "function_name", "arguments": {{ "arg_1": "value_1", "arg_1": "value_1", ... }} }}  </functioncall>  [USER] {message_text}'})
     
-        response = client_mistral_nemo.chat_completion(func_caller, max_tokens=200)
+        response = client_mistral.chat_completion(func_caller, max_tokens=200)
         response = str(response)
         try:
             response = response[response.find("{"):response.index("</")]