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EuroPython2022/Zero-Shot-SQL-by-Bloom

sourceHugging Facegplupdated 4y agoView on Hugging Face
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1import gradio as gr2import requests3import os 4 5##Bloom6API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"7HF_TOKEN = os.environ["HF_TOKEN"]8headers = {"Authorization": f"Bearer {HF_TOKEN}"}9 10 11def sql_generate(prompt, input_prompt_sql ): 12 13  print(f"*****Inside SQL_generate - Prompt is :{prompt}")14  print(f"length of input_prompt_sql is {len(input_prompt_sql)}")15  print(f"length of prompt is {len(prompt)}")16  if len(prompt) == 0:17    prompt = input_prompt_sql 18    19  json_ = {"inputs": prompt,20            "parameters":21            {22            "top_p": 0.9,23          "temperature": 1.1,24          "max_new_tokens": 64,25          "return_full_text": False,26          }, 27          "options": 28          {"use_cache": True,29          "wait_for_model": True,30          },}31  response = requests.post(API_URL, headers=headers, json=json_)32  print(f"Response  is : {response}")33  output = response.json()34  print(f"output is : {output}") 35  output_tmp = output[0]['generated_text']36  print(f"output_tmp is: {output_tmp}")37  solution = output_tmp.split("\nQ:")[0]   38  print(f"Final response after splits is: {solution}")39  if '\nOutput:' in solution:40    final_solution = solution.split("\nOutput:")[0] 41    print(f"Response after removing output is: {final_solution}")42  elif '\n\n' in solution:43    final_solution = solution.split("\n\n")[0] 44    print(f"Response after removing new line entries is: {final_solution}")45  else:46    final_solution = solution47  return final_solution 48 49 50demo = gr.Blocks()51 52with demo:53  gr.Markdown("<h1><center>Zero Shot SQL by Bloom</center></h1>")54  gr.Markdown(55        """[BigScienceW Bloom](https://twitter.com/BigscienceW) \n\n Large language models have demonstrated a capability of Zero-Shot SQL generation. Some might say — You can get good results out of LLMs if you know how to speak to them. This space is an attempt at inspecting this behavior/capability in the new HuggingFace BigScienceW [Bloom](https://huggingface.co/bigscience/bloom) model.\n\nThe Prompt length is limited at the API end right now, thus there is a certain limitation in testing Bloom's capability thoroughly.This Space might sometime fail due to inference queue being full and logs would end up showing error as *'queue full, try again later'*, in such cases please try again after few minutes. Please note that, longer prompts might not work as well and the Space could error out with Response code [500] or *'A very long prompt, temporarily not accepting these'* message in the logs. Still iterating over the app, might be able to improve it further soon.. \n\nThis Space is created by [Yuvraj Sharma](https://twitter.com/yvrjsharma) for Gradio EuroPython 2022 Demo."""56        )57  with gr.Row():58  59    example_prompt = gr.Radio( [60    "Instruction: Given an input question, respond with syntactically correct PostgreSQL\nInput: How many users signed up in the past month?\nPostgreSQL query: ", 61    "Instruction: Given an input question, respond with syntactically correct PostgreSQL\nInput: Create a query that displays empfname, emplname, deptid, deptname, location from employee table. Results should be in the ascending order based on the empfname and location.\nPostgreSQL query: ", 62    "Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: What is the total salary paid to all the employees?\nPostgreSQL query: ",63    "Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: List names of all the employees whose name end with 'r'.\nPostgreSQL query: ",64    "Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: What are the number of employees in each department?\nPostgreSQL query: ",65    "Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: Select names of all theemployees who have third character in their name as 't'.\nPostgreSQL query: ",66    "Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: Select names of all the employees who are working under 'Peter'.\nPostgreSQL query: ",  ], label= "Choose a sample Prompt")67  68    #with gr.Column:  69    input_prompt_sql = gr.Textbox(label="Or Write text following the example pattern given below, to get SQL commands...", value="Instruction: Given an input question, respond with syntactically correct PostgreSQL. Use table called 'department'.\nInput: Select names of all the departments in their descending alphabetical order.\nPostgreSQL query: ", lines=6)70    71  with gr.Row():72    generated_txt = gr.Textbox(lines=3)73 74  b1 = gr.Button("Generate SQL")75  b1.click(sql_generate,inputs=[example_prompt, input_prompt_sql], outputs=generated_txt) 76 77  with gr.Row(): 78    gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=europython2022_zero-shot-sql-by-bloom)")79    80demo.launch(enable_queue=True, debug=True)