refactor: for the playground we need jina requirements should be not so strict

README.md

@@ -47,7 +47,7 @@ We are working on a way to use gpt-3.5-turbo as well.
 
 ### Create Microservice
 ```bash
-gptdeploy create --description "Given a PDF, return it's text" --test "https://www.africau.edu/images/default/sample.pdf"
+gptdeploy create --description "Given a PDF, return its text" --test "https://www.africau.edu/images/default/sample.pdf"
 ```
 To create your personal microservice two things are required:
 - A `description` of the task you want to accomplish.
@@ -445,6 +445,10 @@ Make sure it is only printed twice in case it changed.
 - [ ] section for microservices built by the community
 - [ ] test feedback for playground generation (could be part of the debugging)
 - [ ] should we send everything via json in the text attribute for simplicity?
+- [ ] fix release workflow
+- 
 
 Proposal:
 - [ ] just generate the non-jina related code and insert it into an executor template
+- [ ] think about strategies after the first approach failed?
+- [ ] smooth rendering animation of  the responses

requirements.txt

@@ -1,6 +1,7 @@
-click==8.1.3
-streamlit==1.21.0
-openai==0.27.4
-psutil==5.9.4
-jcloud==0.2.6
-jina-hubble-sdk==0.35.0
+click
+streamlit
+openai
+psutil
+jina
+jcloud
+jina-hubble-sdk

src/executor_factory.py

@@ -292,14 +292,15 @@ package2,package3,...
                 host = jina_cloud.deploy_flow(executor_name, executor_path)
                 self.create_playground(executor_name, executor_path, host)
             except self.MaxDebugTimeReachedException:
-                print('Could not debug the executor.')
+                print('Could not debug the Executor.')
                 continue
             print(f'''
 Executor name: {executor_name}
 Executor path: {executor_path}
 Host: {host}
 
-Playground: streamlit run {os.path.join(executor_path, "app.py")}
+Run the following command to start the playground:
+streamlit run {os.path.join(executor_path, "app.py")}
 '''
                   )
             break

src/gpt.py

@@ -89,7 +89,7 @@ class _GPTConversation:
             delta = chunk['choices'][0]['delta']
             if 'content' in delta:
                 content = delta['content']
-                print_colored('' if complete_string else 'assistent', content, 'green', end='')
+                print_colored('' if complete_string else 'assistant', content, 'green', end='')
                 complete_string += content
         return complete_string
 

src/prompt_system.py

@@ -13,7 +13,7 @@ class MyInfoExecutor(Executor):
     def __init__(self, **kwargs):
         super().__init__()
 
-    @requests() # each executor must have exactly this decorator without parameters
+    @requests() # each Executor must have exactly this decorator without parameters
     def foo(self, docs: DocumentArray, **kwargs) => DocumentArray:
         for d in docs:
             content = json.loads(d.text)
@@ -22,7 +22,7 @@ class MyInfoExecutor(Executor):
         return docs
 ```
 
-An executor gets a DocumentArray as input and returns a DocumentArray as output. 
+An Executor gets a DocumentArray as input and returns a DocumentArray as output. 
 '''
 
 docarray_example = f'''

src/prompt_tasks.py

@@ -9,7 +9,7 @@ def general_guidelines():
         "Every file starts with comments describing what the code is doing before the first import. "
         "Comments can only be written within code blocks. "
         "Then all imports are listed. "
-        "It is important to import all modules that could be needed in the executor code. "
+        "It is important to import all modules that could be needed in the Executor code. "
         "Always import: "
         "from jina import Executor, DocumentArray, Document, requests "
         "Start from top-level and then fully implement all methods. "