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Delete main.py
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main.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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import datetime
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import uvicorn
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model = AutoModelForSeq2SeqLM.from_pretrained("KN123/nl2sql")
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tokenizer = AutoTokenizer.from_pretrained("KN123/nl2sql")
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def get_prompt(tables, question):
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prompt = f"""convert question and table into SQL query. tables: {tables}. question: {question}"""
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# print(prompt)
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return prompt
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def prepare_input(question: str, tables: Dict[str, List[str]]):
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tables = [f"""{table_name}({",".join(tables[table_name])})""" for table_name in tables]
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# print(tables)
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tables = ", ".join(tables)
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# print(tables)
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prompt = get_prompt(tables, question)
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# print(prompt)
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input_ids = tokenizer(prompt, max_length=512, return_tensors="pt").input_ids
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# print(input_ids)
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return input_ids
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def inference(question: str, tables: Dict[str, List[str]]) -> str:
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input_data = prepare_input(question=question, tables=tables)
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input_data = input_data.to(model.device)
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outputs = model.generate(inputs=input_data, num_beams=10, top_k=10, max_length=512)
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# print("Outputs", outputs)
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result = tokenizer.decode(token_ids=outputs[0], skip_special_tokens=True)
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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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return {
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"message" : "Hello there! Everything is working fine!",
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"api-version": "1.0.0",
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"role": "nl2sql",
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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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"people_name":["id","name"], "people_age": ["people_id","age"]
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})
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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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