🫨

app/components/settings/Settings.tsx

@@ -12,9 +12,11 @@ import PrivacySettings from './PrivacySettings';
 import FontSizeSetting from './FontSize';
 import OpenSourceModeToggle from './OpenSourceToggle';
 import {
+  changeHistory,
   changeSettings,
   createAccount,
   deleteAccount,
+  getHistory,
 } from '../../backend/database';
 import ThemeDropdown from './DropDownTheme';
 
@@ -372,7 +374,11 @@ const Settings: React.FC<{ closeSettings: () => void; accountName: string }> = (
           localStorage.setItem("currentEmail", useEmail)
           alert('Account successfully changed!')
           window.location.reload()
+        } else {
+          alert("failed to send settings")
         }
+      } else {
+        alert("failed to create account")
       }
     }
   };
@@ -624,6 +630,7 @@ const Settings: React.FC<{ closeSettings: () => void; accountName: string }> = (
               onClick={handleLogout} // Function to call on click
               className="update-credentials-button" // Custom styling class
             />
+            <p>WARNING: Will delete your chat history.</p>
             <ButtonSetting
               label="Update Credentials" // Button label
               onClick={handleUpdateCredentials} // Function to call on click

py/ai.py

@@ -20,34 +20,29 @@ class AI:
 
         for chunk in stream:
             with return_class.ai_response_lock:
-                return_class.ai_response[access_token] += chunk['message']['content']
+                return_class.ai_response[access_token] += chunk["message"]["content"]
 
     @staticmethod
     def process_mistralai(model, messages, return_class, access_token, api_key):
-
         client = Mistral(api_key=api_key)
 
-        stream_response = client.chat.stream(
-            model=model,
-            messages=messages
-        )
+        stream_response = client.chat.stream(model=model, messages=messages)
 
         with return_class.ai_response_lock:
             return_class.ai_response[access_token] = ""
 
         for chunk in stream_response:
             with return_class.ai_response_lock:
-                return_class.ai_response[access_token] += chunk.data.choices[0].delta.content
+                return_class.ai_response[access_token] += chunk.data.choices[
+                    0
+                ].delta.content
 
     @staticmethod
     def process_openai(model, messages, return_class, access_token, api_key):
-
         client = OpenAI(api_key=api_key)
 
         stream_response = client.chat.completions.create(
-            model=model,
-            messages=messages,
-            stream=True
+            model=model, messages=messages, stream=True
         )
 
         with return_class.ai_response_lock:
@@ -59,7 +54,6 @@ class AI:
 
     @staticmethod
     def process_anthropic(model, messages, return_class, access_token, api_key):
-
         client = anthropic.Anthropic(api_key=api_key)
 
         with return_class.ai_response_lock:
@@ -76,16 +70,15 @@ class AI:
 
     @staticmethod
     def process_google(model, messages, return_class, access_token, api_key):
-
-        message = messages[-1]['content']
+        message = messages[-1]["content"]
         messages.pop()
 
         for msg in messages:
-            msg['parts'] = msg.pop('content')
+            msg["parts"] = msg.pop()["content"]
 
         for msg in messages:
-            if msg['role'] == 'assistant':
-                msg['role'] = 'model'
+            if msg["role"] == "assistant":
+                msg["role"] = "model"
 
         genai.configure(api_key=api_key)
 
@@ -93,7 +86,6 @@ class AI:
 
         chat = model.start_chat(
             history=messages,
-
         )
 
         response = chat.send_message(message, stream=True)