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}"}
prompt1 = """
word: risk
poem using word: And then the day came,
when the risk
to remain tight
in a bud
was more painful
than the risk
it took
to blossom.
word: """
prompt2 = """
Q: Joy has 5 balls. He buys 2 more cans of balls. Each can has 3 balls. How many balls he has now?
A: Joy had 5 balls. 2 cans of 3 balls each is 6 balls. 5 + 6 = 11. Answer is 11.
Q: Jane has 16 balls. Half balls are golf balls, and half golf balls are red. How many red golf balls are there?
A: """
prompt3 = """Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?
A: Let’s think step by step.
"""
def sql_generate(prompt, input_prompt_sql ):
print(f"*****Inside SQL_generate - Prompt is :{prompt}")
if input_prompt_sql != '':
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("
Bloom
")
gr.Markdown(
"""Testing Bloom for SQL generation """
)
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 table 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 table 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 table 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")
input_prompt_sql = gr.Textbox(label="Or Write text following the above pattern to get SQL commands...", value="Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'department'.\nInput: Select names of all the departments in descending alphabetical order of department names.\nPostgreSQL query: ")
with gr.Row():
generated_txt = gr.Textbox(lines=7)
b1 = gr.Button("Generate SQL")
b1.click(sql_generate,inputs=[example_prompt, input_prompt_sql], outputs=generated_txt)
demo.launch(enable_queue=True, debug=True)