Merge pull request #1303 from RainRat/main

fix typos

Author: KillianLucas

docs/guides/profiles.mdx

@@ -34,7 +34,7 @@ interpreter.loop = True
 
 ## Helpful settings for local models
 
-Local models benefit from more coersion and guidance. This verbosity of adding extra context to messages can impact the conversational experience of Open Interpreter. The following settings allow templates to be applied to messages to improve the steering of the language model while maintaining the natural flow of conversation.
+Local models benefit from more coercion and guidance. This verbosity of adding extra context to messages can impact the conversational experience of Open Interpreter. The following settings allow templates to be applied to messages to improve the steering of the language model while maintaining the natural flow of conversation.
 
 `interpreter.user_message_template` allows users to have their message wrapped in a template. This can be helpful steering a language model to a desired behaviour without needing the user to add extra context to their message.
 

docs/guides/running-locally.mdx

@@ -50,6 +50,6 @@ interpreter.chat("how many files are on my desktop?")
 ```
 
 <Info>
-  Other congifuration settings are explained in
+  Other configuration settings are explained in
   [Settings](/settings/all-settings).
 </Info>

interpreter/core/computer/display/display.py

@@ -114,7 +114,7 @@ def screenshot(
         #         print(pretty_text)
         #         print(
         #             format_to_recipient(
-        #                 "To recieve the text above as a Python object, run computer.display.get_text_as_list_of_lists()",
+        #                 "To receive the text above as a Python object, run computer.display.get_text_as_list_of_lists()",
         #                 "assistant",
         #             )
         #         )

interpreter/core/computer/vision/vision.py

@@ -33,7 +33,7 @@ def load(self):
                         "Open Interpreter will use Moondream (tiny vision model) to describe images to the language model. Set `interpreter.llm.vision_renderer = None` to disable this behavior."
                     )
                     print(
-                        "Alternativley, you can use a vision-supporting LLM and set `interpreter.llm.supports_vision = True`."
+                        "Alternatively, you can use a vision-supporting LLM and set `interpreter.llm.supports_vision = True`."
                     )
                 model_id = "vikhyatk/moondream2"
                 revision = "2024-04-02"

interpreter/core/server.py

@@ -237,7 +237,7 @@ async def send_output():
                     output = await async_interpreter.output()
                     if isinstance(output, bytes):
                         # await websocket.send_bytes(output)
-                        # we dont send out bytes rn, no TTS
+                        # we don't send out bytes rn, no TTS
                         pass
                     elif isinstance(output, dict):
                         await websocket.send_text(json.dumps(output))

interpreter/terminal_interface/local_setup.py

@@ -206,7 +206,7 @@ def download_model(models_dir, models, interpreter):
     if selected_model == "LM Studio":
         interpreter.display_message(
             """
-    To use use Open Interpreter with **LM Studio**, you will need to run **LM Studio** in the background.
+    To use Open Interpreter with **LM Studio**, you will need to run **LM Studio** in the background.
 
     1. Download **LM Studio** from [https://lmstudio.ai/](https://lmstudio.ai/), then start it.
     2. Select a language model then click **Download**.
@@ -310,7 +310,7 @@ def download_model(models_dir, models, interpreter):
     elif selected_model == "Jan":
         interpreter.display_message(
             """
-    To use use Open Interpreter with **Jan**, you will need to run **Jan** in the background.
+    To use Open Interpreter with **Jan**, you will need to run **Jan** in the background.
 
     1. Download **Jan** from [https://jan.ai/](https://jan.ai/), then start it.
     2. Select a language model from the "Hub" tab, then click **Download**.

tests/test_interpreter.py

@@ -580,7 +580,7 @@ def test_long_message():
             "role": "user",
             "type": "message",
             "content": "ALKI" * 20000
-            + "\nwhat are the four characters I just sent you? dont run ANY code, just tell me the characters. DO NOT RUN CODE. DO NOT PLAN. JUST TELL ME THE CHARACTERS RIGHT NOW. ONLY respond with the 4 characters, NOTHING else. The first 4 characters of your response should be the 4 characters I sent you.",
+            + "\nwhat are the four characters I just sent you? don't run ANY code, just tell me the characters. DO NOT RUN CODE. DO NOT PLAN. JUST TELL ME THE CHARACTERS RIGHT NOW. ONLY respond with the 4 characters, NOTHING else. The first 4 characters of your response should be the 4 characters I sent you.",
         }
     ]
     interpreter.llm.context_window = 300