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from fastapi import FastAPI, UploadFile, Query, HTTPException
from starlette.responses import RedirectResponse
from typing import Union, List
from pydantic import BaseModel
from translator import ServerTranslator
from LanguageTranslator.utils.constants import set_api_key
import json
import uvicorn
app = FastAPI()
# Define a data model for the input
class TranslationInput(BaseModel):
text: str
dest_language: str
class TranslationResult(BaseModel):
text: Union[str, List[str]]
language_translation: str
@app.get("/", include_in_schema=False)
async def index():
return RedirectResponse(url="/docs")
@app.post("/translate", response_model=TranslationResult)
async def run_translation_manual(
text: str = Query(..., description="Input text to translate"),
dest_language: str = Query(..., description="Destination language"),
api_key: str = Query(..., description="OpenAI API Key")):
set_api_key(api_key)
# Splitting the input text
text = text.split(',')
# Creating and processing the translator
processing_language = ServerTranslator.language_translator(
text=text,
dest_language=dest_language,
openai_api_key=api_key
)
# Getting the translated result
result_response = processing_language.translate()
return result_response
@app.post("/translate_json", response_model=TranslationResult)
async def run_translation_auto(json_file: UploadFile, api_key: str = Query(..., description="OpenAI API Key")):
try:
set_api_key(api_key)
# Reading the JSON content from the file
json_content = await json_file.read()
json_data = json.loads(json_content.decode("utf-8"))
# Creating and processing the translator
processing_language = ServerTranslator.language_translator(
json_data,
openai_api_key=api_key
)
# Getting the translated result
result_response = processing_language.translate()
return result_response
except json.JSONDecodeError:
raise HTTPException(status_code=400, detail="Invalid JSON input")
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)
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