windows docs make workspace if not there (#25)

* windows docs make workspace if not there

* small fixes

README.md

@@ -13,54 +13,53 @@ documented.
 
 Clone the repo with:
 
-    `git clone [email protected]:Significant-Gravitas/Auto-GPT-Benchmarks.git`
-    `cd Auto-GPT-Benchmarks`
+    git clone [email protected]:Significant-Gravitas/Auto-GPT-Benchmarks.git
+    cd Auto-GPT-Benchmarks
 
 Create a venv with
 
-    `python3.9 -m venv venv`
+    python3.9 -m venv venv
 
 
-Activate it with
+On MaxOS/Linux Activate it with 
 
-    `source venv/bin/activate`
+    source venv/bin/activate
+
+On Windows:
+
+    venv/scripts/activate
 
 Install the requirements with:
 
-    `pip install -r requirements.txt`
+    pip install -r requirements.txt
 
 If you haven't already clone the AutoGPT repo somewhere else on your machine.
 DO NOT CLONE IT INTO A SUBDIR OF THIS REPO.
 
-    `cd somewhere/else`
-    `git clone [email protected]:Significant-Gravitas/Auto-GPT.git`
+    cd somewhere/else
+    git clone [email protected]:Significant-Gravitas/Auto-GPT.git
+    cd Auto-GPT
+    git checkout stable # Or the branch you want to benchmark
 
-You will need to update the .env file in the Auto-GPT repo to have your OpenAI api key. The file in question is at:
+You will need to update the .env file in the Auto-GPT repo to have your OpenAI api key. The file in question is at. This should becopied from the .env.template as described in the Auto-GPT README.md
 
-    `Auto-GPT/.env`
+    Auto-GPT/.env
 
 Finally, we assume you have a docker container built from the Dockerfile in the Auto-GPT repo.
 
 Build this with:
 
-    `cd Auto-GPT`
-    `docker build -t autogpt .`
-
-If you want to run with redis as your memory system, you can stand up a redis image in the AutoGPT repo with
-
-    `docker compose up`
-
-Then you will need to adjust some variables in your .env file to use the redis memory backend. 
-See the AutoGPT docs on how to do that.
+    cd Auto-GPT
+    docker build -t autogpt .
 
 Run your first eval with:
 
-    `cd Auto-GPT-Benchmarks`
-    `python3 auto_gpt_benchmarking test-match --auto-gpt-path /your/path/to/Auto-GPT`
+    cd Auto-GPT-Benchmarks
+    python3 auto_gpt_benchmarking test-match --auto-gpt-path /your/path/to/Auto-GPT
 
 You should only need to use the --auto-gpt-path flag the first time you run it. Afterwards, that will be saved in 
 
-    `auto_gpt_benchmarking/completion_fns/auto_gpt_completion_fn.yaml`.
+    auto_gpt_benchmarking/completion_fns/auto_gpt_completion_fn.yaml.
 
 To see a full list of available flags you can use run `python3 -m auto_gpt_benchmarking --help`
 Some of these are inherited from the openAI evals framework and do not work quite as intended as they are not applicable

auto_gpt_benchmarking/AutoGPTAgent.py

@@ -108,6 +108,9 @@ def _poll_for_output(self):
     def __init__(self, prompt, auto_gpt_path: str):
         self.auto_gpt_path = Path(auto_gpt_path)
         self.auto_workspace = self.auto_gpt_path / "auto_gpt_workspace"
+        # if the workspace doesn't exist, create it
+        if not self.auto_workspace.exists():
+            self.auto_workspace.mkdir()
         self.prompt_file = self.auto_workspace / "prompt.txt"
         self.output_file = self.auto_workspace / "output.txt"
         self.file_logger = self.auto_workspace / "file_logger.txt"