Merge pull request #162 from devopshobbies/dev

Update REAME.md and re-structure of openai input token

Author: mohammadll

README.md

@@ -1,53 +1,27 @@
 [![devopsgpt demo](devopsgpt.jpg)](https://youtu.be/IPXmjUcDZJU?si=4S5U_y8Jr1u5gOrh)
 
-# DevOps-GPT
+# 🚀 DevOpsGPT: Automate Your DevOps Workflow
 
-This project helps you to balance your daily work as a DevOps engineer, from simple bug fixes to project template generation. you don't need to search on Google for some routine jobs and it helps you with a robust prompt to simplify your career.
+DevOpsGPT is a revolutionary tool designed to streamline your workflow and empower you to build systems and automate tasks with ease. 
 
-## Run DevOpsGPT
+**Tired of spending hours on repetitive DevOps tasks?**
 
-Builds and starts the Docker Compose stack:
-     
-    make
-    
-Stops and removes the Docker Compose stack:
+DevOpsGPT is here to help! Whether you're setting up infrastructure, speeding up deployments, or tackling any other DevOps challenge, our app can make your life easier and more productive.
 
-    make down
+**Here's what you can expect with DevOpsGPT:**
 
- Installs the Helm chart for the devopsgpt app on a Kubernetes cluster:
+* **Faster task completion:** Automate repetitive tasks and free up your time to focus on more strategic initiatives.
+* **Simplified workflows:** Our intuitive interface makes it easy to get started and use DevOpsGPT to its full potential.
+* **Increased efficiency:** Streamline your DevOps processes and achieve more with less effort.
 
-    make helm-install
-
-Uninstalls the Helm chart for the devopsgpt app:
-
-    make helm-uninstall
-
-You can override the release name and namespace for Helm commands by running:
-
-    make [helm-install|helm-uninstall] namespace=NAMESPACE releaseName=RELEASENAME
-
-The default namespace is `default` and the default release name is `devopsgpt`.
-
-
-
-## Running Tests
-
-To run tests, run the following command
-
-```
-cd app && pytest tests/
-```
-
-
-
-
-## Environment Variables
-
-To run this project, you will need to add the following environment variables to your .env file
-
-`KEY` (OpenAI API Key)
+**Ready to experience the DevOpsGPT difference?**
 
+1. Visit our website: https://hobs.ai
+2. Sign in or create an account.
+3. Start exploring the many features of DevOpsGPT and see how it can transform your workflow.
+4. We value your feedback! Share your thoughts and suggestions with us to help us continuously improve DevOpsGPT.
 
+**We're confident that DevOpsGPT will become an essential tool in your DevOps toolkit. Let's work together to make it even better!**
 
 
 ## API Reference

app/gpt_services.py

@@ -2,10 +2,10 @@
 from openai import OpenAI
 from fastapi import HTTPException
 
-def gpt_service(prompt):
+def gpt_service(prompt,token):
 
     try:
-        client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
+        client = OpenAI(api_key=token)
         chat_completion = client.chat.completions.create(
             messages=[
                 {

app/models/terraform_models.py

@@ -5,44 +5,27 @@
 
 class IaCBasicInput(BasicInput):
     input:str
-    service:Optional[str] = 'terraform'
+    token:str
 
     @validator("input")
     def validate_input(cls, value):
         if not value:
             raise ValueError("Input cannot be empty.")
         return value
 
-    @validator("service")
-    def validate_service(cls, value):
-        allowed_services = ['terraform']
-        if value not in allowed_services:
-            raise ValueError(f"Service must be one of {allowed_services}.")
-        return value
+    
 
 class IaCBugfixInput(BasicInput):
     bug_description:str
-    version:str = 'latest'
-    service:Optional[str] = 'terraform'
+    token:str
 
     @validator("bug_description")
     def validate_bug_description(cls, value):
         if not value:
             raise ValueError("Bug description cannot be empty.")
         return value
 
-    @validator("version")
-    def validate_version(cls, value):
-        if not value:
-            raise ValueError("Version cannot be empty.")
-        return value
-
-    @validator("service")
-    def validate_service(cls, value):
-        allowed_services = ['terraform']
-        if value not in allowed_services:
-            raise ValueError(f"Service must be one of {allowed_services}.")
-        return value
+   
 
 class IaCInstallationInput(BaseModel):
     os:str = "Ubuntu"

app/prompt_generators.py

@@ -5,21 +5,15 @@
 def IaC_basics_generator(input : IaCBasicInput) -> str:
 
     prompt = f"""
-                Write a robust answer about {input.service},
-                focusing on the latest update of {input.service} and based on this question:{input.input},
-                minimun length of answer is {input.min_tokens} and maximum length is {input.max_tokens}
-
+                {input.input}
             """
     return prompt
 
 
 def IaC_bugfix_generator(input : IaCBugfixInput) -> str:
 
     prompt = f"""
-                Write a clear answer to debug {input.service}
-                focusing on the version {input.version} of {input.service} and based on this bug:{input.bug_description},
-                generate a correct code that help us to solve this bug.
-                minimum length of answer is {input.min_tokens} and maximum length is {input.max_tokens}
+                {input.bug_description}
 
             """
     return prompt

app/routes/terraform.py

@@ -38,15 +38,15 @@ async def IaC_basic_generation(request:IaCBasicInput) -> Output:
         if os.environ.get("TEST"):
             return Output(output='Terraform developed by hashicorp and it is very usefull')
         generated_prompt = IaC_basics_generator(request)
-        output = gpt_service(generated_prompt)
+        output = gpt_service(generated_prompt,request.token)
         return Output(output=output)
 
 @app.post("/api/IaC-bugfix/")
 async def IaC_bugfix_generation(request:IaCBugfixInput) -> Output:
         if os.environ.get("TEST"):
             return Output(output='fix this bug by adding x to the y')
         generated_prompt = IaC_bugfix_generator(request)
-        output = gpt_service(generated_prompt)
+        output = gpt_service(generated_prompt,request.token)
         return Output(output=output)