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Upload app.py
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app.py
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from fastapi import FastAPI
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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from typing import List, Dict
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import time
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return result
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app = FastAPI()
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@app.get("/")
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def home():
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"description": "This api can be used to convert natural language to SQL given the human prompt, tables and the attributes."
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}
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@app.get("/generate")
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def generate(text:str):
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start = time.time()
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res = inference("how many people with name jui and age less than 25", {
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@@ -65,6 +73,33 @@ def generate(text:str):
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}
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}
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if __name__ == "__main__":
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uvicorn.run(app, host="127.0.0.1", port=8000)
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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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from typing import List, Dict
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import time
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return result
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Allows all origins
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allow_credentials=True,
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allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"], # Allows all methods
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allow_headers=["*"], # Allows all headers
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)
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@app.get("/")
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def home():
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"description": "This api can be used to convert natural language to SQL given the human prompt, tables and the attributes."
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}
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@app.get("/test-generate")
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def generate(text:str):
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start = time.time()
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res = inference("how many people with name jui and age less than 25", {
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}
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}
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@app.post("/generate")
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def generate(request_body:Dict):
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if 'text' not in request_body or 'tables' not in request_body:
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raise HTTPException(status_code=400, detail="Missing 'text' or 'tables' in request body")
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prompt = request_body['text']
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tables = request_body['tables']
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start = time.time()
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res = inference(prompt, tables)
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end = time.time()
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total_time_taken = end - start
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current_utc_datetime = datetime.datetime.now(datetime.timezone.utc)
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current_date = datetime.date.today()
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timezone_name = time.tzname[time.daylight]
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print(res)
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return {
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"api_response": f"{res}",
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"time_taken(s)": f"{total_time_taken}",
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"request_details": {
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"utc_datetime": f"{current_utc_datetime}",
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"current_date": f"{current_date}",
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"timezone_name": f"{timezone_name}"
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}
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}
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if __name__ == "__main__":
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uvicorn.run(app, host="127.0.0.1", port=8000)
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