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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(prompt) == 0:
prompt = input_prompt_sql
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_tmp = output[0]['generated_text']
print(f"output_tmp is: {output_tmp}")
solution = output_tmp.split("\nQ:")[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>Bloom Explorer</center></h1>")
gr.Markdown(
"""Exploration of the capabilities of the [BigScienceW Bloom](https://twitter.com/BigscienceW) Large language model \n\nThis Space is created by [Samim](https://samim.io) for research and fun"""
)
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")
#with gr.Column:
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)
with gr.Row():
generated_txt = gr.Textbox(lines=3)
b1 = gr.Button("Generate SQL")
b1.click(sql_generate,inputs=[example_prompt, input_prompt_sql], outputs=generated_txt)
with gr.Row():
gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=europython2022_zero-shot-sql-by-bloom)")
demo.launch(enable_queue=True, debug=True) |