refactor: cleanup

README.md

@@ -59,7 +59,9 @@ graph TB
 gptdeploy --description "Generate a QR code from a given text or URL" --test "https://www.example.com"
 ```
 ![](res/qr_example.png)
-
+```bash
+gptdeploy --description "Extract information about a 3D model, such as vertex count and face count" --test "https://www.example.com/model.obj"
+```
 
 # 🤏 limitations for now
 - stateless microservices only
@@ -69,7 +71,12 @@ gptdeploy --description "Generate a QR code from a given text or URL" --test "ht
 Use natural language interface to create, deploy and update your microservice infrastructure.
 
 # TODO
-- [ ] verbose mode
+critical
 - [ ] auto login for jina
 
+Nice to have
+- [ ] verbose mode
+- [ ] tests
+- [ ] clean up duplicate code
+
 [//]: # ([![Watch the video](https://i.imgur.com/vKb2F1B.png)](https://user-images.githubusercontent.com/11627845/226220484-17810f7c-b184-4a03-9af2-3a977fbb014b.mov))

main.py

@@ -293,13 +293,13 @@ def main(
     generated_name = generate_executor_name(description)
     executor_name = f'{generated_name}{random.randint(0, 1000_000)}'
 
-    packages = get_possible_packages(description, num_approaches)
+    packages_list = get_possible_packages(description, num_approaches)
     recreate_folder(output_path)
-    for package in packages:
+    for packages in packages_list:
         try:
-            create_executor(description, test, output_path, executor_name, package)
+            create_executor(description, test, output_path, executor_name, packages)
             # executor_name = 'MicroChainExecutor790050'
-            executor_path = debug_executor(output_path, package, description, test)
+            executor_path = debug_executor(output_path, packages, description, test)
             # print('Executor can be built locally, now we will push it to the cloud.')
             # jina_cloud.push_executor(executor_path)
             print('Deploy a jina flow')