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import gradio as gr
import requests
import os
##Bloom
API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"
HF_TOKEN = os.environ["HF_TOKEN"]
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
def sql_generate(prompt, input_prompt_sql ):
print(f"*****Inside SQL_generate - Prompt is :{prompt}")
print(f"length of input_prompt_sql is {len(input_prompt_sql)}")
print(f"length of prompt is {len(prompt)}")
if len(input_prompt_sql) == 0:
prompt = "Instruction: Given an input question, respond with syntactically correct PostgreSQL\nInput: " +input_prompt_sql #+ "\nPostgreSQL query: "
json_ = {"inputs": prompt,
"parameters":
{
"top_p": 0.9,
"temperature": 1.1,
"max_new_tokens": 250,
"return_full_text": False,
},
"options":
{"use_cache": True,
"wait_for_model": True,
},}
response = requests.post(API_URL, headers=headers, json=json_)
print(f"Response is : {response}")
output = response.json()
print(f"output is : {output}") #{output}")
output_tmp = output[0]['generated_text']
print(f"output_tmp is: {output_tmp}")
solution = output_tmp.split("\nQ:")[0] #output[0]['generated_text'].split("Q:")[0] # +"."
print(f"Final response after splits is: {solution}")
if '\nOutput:' in solution:
final_solution = solution.split("\nOutput:")[0]
print(f"Response after removing output is: {final_solution}")
elif '\n\n' in solution:
final_solution = solution.split("\n\n")[0]
print(f"Response after removing new line entries is: {final_solution}")
else:
final_solution = solution
return final_solution
demo = gr.Blocks()
with demo:
gr.Markdown("<h1><center>Zero Shot SQL by Bloom</center></h1>")
gr.Markdown(
"""[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\nThis Space is created by [Yuvraj Sharma](https://twitter.com/yvrjsharma) for EuroPython 2022 Demo.\nThe Prompt length is limited at the API end right now, thus there is a certain limitation in testing Bloom's capability thoroughly.\nThis 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.\nStill iterating over the app, might be able to improve it further soon.."""
)
with gr.Row():
example_prompt = gr.Radio( [
"Instruction: Given an input question, respond with syntactically correct PostgreSQL\nInput: How many users signed up in the past month?\nPostgreSQL query: ",
"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: ",
"Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use tables called 'employees'.\nInput: What is the total salary paid to all the employees?\nPostgreSQL query: ",
"Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use tables called 'employees'.\nInput: List names of all the employees whose name end with 'r'.\nPostgreSQL query: ",
"Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use tables called 'employees'.\nInput: What are the number of employees in each department?\nPostgreSQL query: ",
"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: ",
"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")
with gr.Column:
input_prompt_sql = gr.Textbox(label="Or Write text following the example pattern given below, to get SQL commands...", value="Only use table called 'department'.\nInput: Select names of all the departments in descending alphabetical order of department names.\nPostgreSQL query: ", lines=5)
b1 = gr.Button("Generate SQL")
with gr.Row():
generated_txt = gr.Textbox(lines=3)
b1.click(sql_generate,inputs=[example_prompt, input_prompt_sql], outputs=generated_txt)
demo.launch(enable_queue=True, debug=True)