mirror of
https://github.com/kennethreitz/instructor.git
synced 2026-06-05 22:50:18 +00:00
grit-app[bot]
141 lines
3.6 KiB
Python
141 lines
3.6 KiB
Python
import instructor
|
|
|
|
from openai import OpenAI
|
|
from typing import List
|
|
from pydantic import Field
|
|
from instructor import OpenAISchema
|
|
|
|
client = instructor.patch(OpenAI())
|
|
|
|
|
|
class File(OpenAISchema):
|
|
"""
|
|
Correctly named file with contents.
|
|
"""
|
|
|
|
file_name: str = Field(
|
|
..., description="The name of the file including the extension"
|
|
)
|
|
body: str = Field(..., description="Correct contents of a file")
|
|
|
|
def save(self):
|
|
with open(self.file_name, "w") as f:
|
|
f.write(self.body)
|
|
|
|
|
|
class Program(OpenAISchema):
|
|
"""
|
|
Set of files that represent a complete and correct program
|
|
"""
|
|
|
|
files: List[File] = Field(..., description="List of files")
|
|
|
|
|
|
def develop(data: str) -> Program:
|
|
completion = client.chat.completions.create(
|
|
model="gpt-3.5-turbo-0613",
|
|
temperature=0.1,
|
|
functions=[Program.openai_schema],
|
|
function_call={"name": Program.openai_schema["name"]},
|
|
messages=[
|
|
{
|
|
"role": "system",
|
|
"content": "You are a world class programming AI capable of writing correct python scripts and modules. You will name files correct, include __init__.py files and write correct python code. with correct imports.",
|
|
},
|
|
{
|
|
"role": "user",
|
|
"content": data,
|
|
},
|
|
],
|
|
max_tokens=1000,
|
|
)
|
|
return Program.from_response(completion)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
program = develop(
|
|
"""
|
|
Create a fastapi app with a readme.md file and a main.py file with
|
|
some basic math functions. the datamodels should use pydantic and
|
|
the main.py should use fastapi. the readme.md should have a title
|
|
and a description. The readme should contain some helpful infromation
|
|
and a curl example"""
|
|
)
|
|
|
|
for file in program.files:
|
|
print(file.file_name)
|
|
print("-")
|
|
print(file.body)
|
|
print("\n\n\n")
|
|
"""
|
|
readme.md
|
|
-
|
|
# FastAPI App
|
|
|
|
This is a FastAPI app that provides some basic math functions.
|
|
|
|
## Usage
|
|
|
|
To use this app, follow the instructions below:
|
|
|
|
1. Install the required dependencies by running `pip install -r requirements.txt`.
|
|
2. Start the app by running `uvicorn main:app --reload`.
|
|
3. Open your browser and navigate to `http://localhost:8000/docs` to access the Swagger UI documentation.
|
|
|
|
## Example
|
|
|
|
To perform a basic math operation, you can use the following curl command:
|
|
|
|
```bash
|
|
curl -X POST -H "Content-Type: application/json" -d '{"operation": "add", "operands": [2, 3]}' http://localhost:8000/calculate
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
main.py
|
|
-
|
|
from fastapi import FastAPI
|
|
from pydantic import BaseModel
|
|
|
|
app = FastAPI()
|
|
|
|
|
|
class Operation(BaseModel):
|
|
operation: str
|
|
operands: list
|
|
|
|
|
|
@app.post('/calculate')
|
|
async def calculate(operation: Operation):
|
|
if operation.operation == 'add':
|
|
result = sum(operation.operands)
|
|
elif operation.operation == 'subtract':
|
|
result = operation.operands[0] - sum(operation.operands[1:])
|
|
elif operation.operation == 'multiply':
|
|
result = 1
|
|
for operand in operation.operands:
|
|
result *= operand
|
|
elif operation.operation == 'divide':
|
|
result = operation.operands[0]
|
|
for operand in operation.operands[1:]:
|
|
result /= operand
|
|
else:
|
|
result = None
|
|
return {'result': result}
|
|
|
|
|
|
|
|
|
|
|
|
requirements.txt
|
|
-
|
|
fastapi
|
|
uvicorn
|
|
pydantic
|
|
"""
|
|
|
|
with open("program.json", "w") as f:
|
|
f.write(Program.parse_obj(program).json())
|