Updated README.md and fixed some grammar

DAIA_GPT4V/OS_control/os_controller.py

@@ -4,7 +4,7 @@
 
 class OSController:
     """
-    Controll the OS using pyautogui, and get its data with the platform library
+    Control the OS using pyautogui, and get its data with the platform library
     """
 
     def __init__(self):

DAIA_GPT4V/Thinker/thinking.py

@@ -64,7 +64,7 @@ def goal_completer(self, suggestions: str):
 
     def action_compleation():
         pass
-        # Compleate a action
+        # Compleate an action
 
     def action(
         self,
@@ -130,7 +130,7 @@ def suggestion_explainer(self, suggestion: str):
         """
         Explain a suggestion.
 
-        Suggestion (Create a account) -> explanation (To create a account do...)
+        Suggestion (Create an account) -> explanation (To create an account do...)
         """
 
         # Remmember and the previous data for the prompt with this prompt
@@ -173,7 +173,7 @@ def suggestion_explainer(self, suggestion: str):
         question = question.choices[0].message.content
         self.save_action(action1=prompt, action2=question, category=0)
 
-        # Make GPT answer its question to generate a explanation
+        # Make GPT answer its question to generate an explanation
         suggestion_suggestions = self.client.chat.completions.create(
             model="gpt-3.5-turbo",
             messages=[
@@ -197,13 +197,13 @@ def suggestion_splitter(self, suggestion: str):
         """
         Split a suggestion (or step) into its sub-suggestions (or steps).
 
-        Suggestion (Create a account) -> Suggestions (['Visit the website..', 'Create account...', 'Access services..'])
+        Suggestion (Create an account) -> Suggestions (['Visit the website..', 'Create account...', 'Access services..'])
         """
 
         # Explain the suggestion
         explanation = self.suggestion_explainer(suggestion)
 
-        # Remmember the important previous data for the prompt
+        # Rememember the important previous data for the prompt
         previous_data = self.short_remember(
             f"""
 What are the suggestions in the response based on the given response and previous data?
@@ -257,7 +257,7 @@ def suggestion_splitter(self, suggestion: str):
         sub_suggestions = sub_suggestions.choices[0].message.content
         self.save_action(action1=prompt, action2=sub_suggestions, category=0)
 
-        # Check if the response gives any suggestions and if it is a answer
+        # Check if the response gives any suggestions and if it is an answer
         if sub_suggestions[0:5].lower() in "reject":
             print(
                 f"""
@@ -277,13 +277,13 @@ def suggestion_splitter(self, suggestion: str):
 
     def explanation_to_suggestions(self, explanation: str, prev_data: bool):
         """
-        Split a explanation into suggestions
+        Split an explanation into suggestions
 
-        Explanation (To create a account do..) -> Suggestions (['Visit the website..', 'Create account...', 'Access services..'])
+        Explanation (To create an account do..) -> Suggestions (['Visit the website..', 'Create account...', 'Access services..'])
         """
 
         if prev_data:
-            # Remmember the important previous data for the prompt
+            # Rememember the important previous data for the prompt
             previous_data = self.short_remember(
                 f"""
 What are the suggestions in the response based on the given response and previous data?
@@ -338,7 +338,7 @@ def explanation_to_suggestions(self, explanation: str, prev_data: bool):
             suggestions = suggestions.choices[0].message.content
             self.save_action(action1=prompt, action2=suggestions, category=0)
 
-            # Check if the response gives any suggestions and if it is a answer
+            # Check if the response gives any suggestions and if it is an answer
             if suggestions[0:5].lower() in "reject":
                 print(
                     f"""
@@ -388,7 +388,7 @@ def explanation_to_suggestions(self, explanation: str, prev_data: bool):
             suggestions = suggestions.choices[0].message.content
             self.save_action(action1=prompt, action2=suggestions, category=0)
 
-            # Check if the response gives any suggestions and if it is a answer
+            # Check if the response gives any suggestions and if it is an answer
             if suggestions[0:5].lower() in "reject":
                 print(
                     f"""
@@ -409,7 +409,7 @@ def explanation_to_suggestions(self, explanation: str, prev_data: bool):
 
     def short_remember(self, need: str):
         """
-        Remmember a short period of history in detail from the DAIA MemoryDB,
+        Remember a short period of history in detail from the DAIA MemoryDB,
         and extract the most important data out of the history for the current need prompt
 
         In the need prompt, you must place a '>>previous data missing<<' string where you want the GPT to input the previous data
@@ -419,7 +419,7 @@ def short_remember(self, need: str):
 
         memory = Memory()
 
-        # Get and format all of the previous action with the limit of 100
+        # Get and format all of the previous action with a limit of 100
         previous_important_data = ""
         for action in memory.get_ordered_actions_of_goal(self.goal_id, 100):
             previous_important_data = previous_important_data + "".join(
@@ -428,7 +428,7 @@ def short_remember(self, need: str):
 
         # If there is no history yet
         if len(previous_important_data) <= 0:
-            return "Nothing has hppened yet."
+            return "Nothing has happened yet."
 
         # The main prompt
         previous_data = self.client.chat.completions.create(
@@ -530,7 +530,7 @@ def save_goal_in_goal(self):
 
     def save_action(self, action1: str, action2: str, category: int):
         """
-        Save a action under its category. (The action is made out of 2 actions)
+        Save an action under its category. (The action is made out of 2 actions)
 
         Category/action types:
         "question=>response" = int 0

DAIA_GPT4V/run.py

@@ -10,15 +10,15 @@ def run(api_key):
         print("Goal is empty!")
         goal = input("Please enter your goal for the DAIA here: ")
 
-    # Save the goal and get its id (goal_id=anything, -1 is just a example, as this is changed at line 18 by using another Think class inctance)
+    # Save the goal and get its id (goal_id=anything, -1 is just an example, as this is changed at line 18 by using another Think class instance)
     think_ = Think(key=api_key, goal=goal, goal_id=-1)
     goal_id = think_.save_goal()
 
     # Save the goal with its id
     think = Think(key=api_key, goal=goal, goal_id=goal_id)
     think.save_goal_in_goal()
 
-    # Loop for getting a question for goal compleation, that the user agrees with
+    # Loop for getting a question for goal completion, that the user agrees with
     while True:
         prompt = f"""
 You have a goal you want to achieve. 
@@ -86,7 +86,7 @@ def run(api_key):
             if second_time:
                 if agree.upper() == "N":
                     think.save_action(
-                        action1=f'"Sorry, but I dissagree with the current suggestions because: \n{explanation}\nCan you update the suggestions?"',
+                        action1=f'"Sorry, but I disagree with the current suggestions because: \n{explanation}\nCan you update the suggestions?"',
                         action2=f'"Yes, here are the new suggestions: \n{suggestions}"',
                         category=0,
                     )
@@ -122,7 +122,7 @@ def run(api_key):
 
                 else:
                     think.save_action(
-                        action1=f'"Sorry, but I dissagree with the current suggestions because: \n{explanation}\nCan you update the suggestions?"',
+                        action1=f'"Sorry, but I disagree with the current suggestions because: \n{explanation}\nCan you update the suggestions?"',
                         action2=f'"Yes, here are the new suggestions: \n{suggestions}"',
                         category=0,
                     )

README.md

@@ -14,10 +14,10 @@ DAIA is a powerful Digital Artificial Intelligence Agent that enables intelligen
 
 ## 1. Introduction 🚀
 
-DAIA is a cutting-edge AI agent designed to enhance your productivity by intelligently interacting with your computer and compleating big goals. With DAIA, you can complate goals, automate tasks, gather information, and perform various operations seamlessly, just like you would do yourself.
+DAIA is a cutting-edge AI agent designed to enhance your productivity by intelligently interacting with your computer and completing big goals. With DAIA, you can complete goals, automate tasks, gather information, and perform various operations seamlessly, just like you would do yourself.
 
-The main difference with the DAIA compared to other AI Agents is that it interacts with your computer trough a vision system (GPT-4V) and task compleation system allowing it to be capable of doing many more tasks and goals compared to other AI Agents that use the Terminal or CMD for interaction with the computer.
-Furthermore the DAIA will be built with a built in memory, self evaluating and optimizing system from the start.
+The main difference with the DAIA compared to other AI Agents is that it interacts with your computer through a vision system (GPT-4V) and task completion system allowing it to be capable of doing many more tasks and goals compared to other AI Agents that use the Terminal or CMD for interaction with the computer.
+Furthermore, the DAIA will be built with a built-in memory, self-evaluating and optimizing system from the start.
 
 Here is our current blueprint for the DAIA and its features:
 ![Here is our current blueprint for the DAIA and its features:](Design/DAIA%20(GPT%20Vision).png)
@@ -40,13 +40,13 @@ Here is our current blueprint for the DAIA and its features:
 
 - **Endless Scalability**: DAIA can make multiple copies of itself and create its own network of DAIAs provided the computing power (in progress)
 
-- **Automation of Big Goals**: DAIA can automate big goals with its capability to make multiple versions of itself, therefor making the process faster (in progress)
+- **Automation of Big Goals**: DAIA can automate big goals with its capability to make multiple versions of itself, therefore making the process faster (in progress)
 
 ## 3. Usage 🤝
 
 Once installed, you can start using DAIA by launching the application and initiating conversations or goals. Here are some common usage scenarios:
 
-- **Goal Compleation**: Automate and compleate goals (in progress)
+- **Goal Completion**: Automate and complete goals (in progress)
 
 - **Task Automation**: Create and schedule automated tasks to streamline your workflow. (not done yet)
 
@@ -58,23 +58,23 @@ Once installed, you can start using DAIA by launching the application and initia
 
 We welcome contributions from the DAIA community to help improve and expand the capabilities of our AI agent. It is still in its early development stage so there is a lot to be done and we urgently need your support in this effort. Here's how you can contribute:
 
-- **Join Our Discord Server**: If you're a developer or someone who is interested in contributing, please join our Discord server The Envedity Network at: https://discord.gg/Xrf8bjXMU6, there you can become a developer and will be able to directly contribute to the main DAIA repo with us, as well as share your feedback, suggestions, and bug reports with us and more..
+- **Join Our Discord Server**: If you're a developer or someone who is interested in contributing, please join our Discord server The Envedity Network at: https://discord.gg/Xrf8bjXMU6, there you can become a developer and will be able to directly contribute to the main DAIA repo with us, as well as share your feedback, suggestions, and bug reports with us and more.. Your insights are valuable in shaping the future of DAIA
 
 Here is what we have already done from the blueprint:
 ![Here is what we have already done from the blueprint:](Design/DAIA%20(GPT%20Vision)%20progress.png)
 
-- **Feedback**: Share your feedback, suggestions, and bug reports with us. Your insights are valuable in shaping the future of DAIA. You can do this by [opening an issue](https://github.com/Envedity/DAIA/issues) on our feedback repository or in our Discord server.
+- **Feedback**: Share your feedback, suggestions, and bug reports with us. You can do this by [opening an issue](https://github.com/Envedity/DAIA/issues) on our feedback repository or in our Discord server.
 
 - **Share**: Share the DAIA project with others you know to spread the word (DAIA repo link: https://github.com/Envedity/DAIA)
 
-- **Support (Sponsor the project)**:
+- **Support (Sponsor the project)**: You can sponsor us through this e-mail: [email protected] or donate/support us at https://www.patreon.com/user?u=108155871
 
 We appreciate your support in making DAIA even better for all users! 🙏
 
-Lets build the future of AGI Together!
+Let's build the future of AGI Together!
 
 ## 5. License 📄
 
-DAIA is under the creative commons license.
+DAIA is under the Creative Commons license.
 
 For the most up-to-date information, visit [DAIA's official website](https://envedity.github.io/). 🌐🚀