Curranj commited on
Commit
1f79e6d
1 Parent(s): 6250028

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +8 -74
app.py CHANGED
@@ -1,6 +1,8 @@
1
- import sqlite3
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- import re
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  import openai
 
 
 
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  def gpt3(texts):
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  openai.api_key ="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"
@@ -9,77 +11,23 @@ def gpt3(texts):
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  engine="code-davinci-002",
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  prompt= texts,
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  temperature=0,
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- max_tokens=100,
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  top_p=1,
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  frequency_penalty=0.0,
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  presence_penalty=0.0,
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- suffix='")',
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- stop = ("conn.close()", "</code>", "#")
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  )
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  x = response.choices[0].text
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- #extract the text inside of the cur.execute() function. for example 'cur.execute("SELECT * FROM gptsum")' would turn into 'SELECT * FROM gptsum'
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- x = re.sub(r'(cur.execute\(\"|\"\))', '', x)
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- # cut everything off after the first "\n"
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- x = x.split("\n")[0]
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  return x
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- #using the name of the database, return the table names and the column names
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-
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- def print_attributes(database, table):
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- conn = sqlite3.connect(database)
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- c = conn.cursor()
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- c.execute("PRAGMA table_info(" + table + ")")
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- print(c.fetchall())
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- conn.close()
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-
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- # if tabes returns ([], []), re do the function and the base input
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- def get_tables():
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- # make the base variable global
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- global base
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- base = input("Name the database to connect to:")
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- if len(base) <5:
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- print("The name is too short")
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- get_tables()
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- #exit clause
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- if base == "exit":
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- return
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- conn = sqlite3.connect(base)
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- c = conn.cursor()
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- c.execute("SELECT name FROM sqlite_master WHERE type='table';")
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- tables = c.fetchall()
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-
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-
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- conn.close()
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- if tables == [] and columns == []:
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- get_tables()
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- return tables
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-
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-
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-
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-
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- #tables = get_tables()
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-
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- #if len(base)==0:
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- # base= "gmaildb.sqlite"
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-
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- # turn this: "request=input("What would you like to do to the database?")" into a callable function that repeats itself if too short
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-
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- def request():
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- requests=input("What would you like to do to the database?")
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- if len(requests) < 5:
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- print("The request is too short")
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- request()
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- return requests
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-
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- import gradio as gr
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-
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  # create a UI using gradio that takes in a text name and a text prompt, which then is displayed back to the user
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  def greet( prompt):
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- txt= ("# Python 3 \n# SQLite \n# "+prompt+ "\nimport sqlite3"+'\nconn = sqlite3.connect("database")\ncur= conn.cursor()\ncur.execute("')
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  sql = gpt3(txt)
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  return sql
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@@ -91,17 +39,3 @@ def greet( prompt):
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  iface = gr.Interface(greet, inputs = ["text"], outputs = "text")
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  iface.launch()
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-
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- #breakpoint()
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- #req = request()
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-
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- #txt= ("# Python 3 \n# SQLite \n# "+req+ "\nimport sqlite3"+'\nconn = sqlite3.connect("'+ base +'")\ncur = conn.cursor()')
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- #cod = gpt3(txt)
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-
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-
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- #scrip= (txt+str(cod))
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- #print(scrip)
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- #exec(scrip)
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-
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-
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-
 
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+
 
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  import openai
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+ import gradio as gr
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+
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+
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  def gpt3(texts):
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  openai.api_key ="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"
 
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  engine="code-davinci-002",
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  prompt= texts,
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  temperature=0,
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+ max_tokens=750,
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  top_p=1,
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  frequency_penalty=0.0,
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  presence_penalty=0.0,
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+ stop = (";", "/*")
 
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  )
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  x = response.choices[0].text
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+
 
 
 
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  return x
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  # create a UI using gradio that takes in a text name and a text prompt, which then is displayed back to the user
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  def greet( prompt):
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+ txt= (f'''/*Prompt: {prompt}*/ \n --SQL Code:''')
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  sql = gpt3(txt)
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  return sql
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  iface = gr.Interface(greet, inputs = ["text"], outputs = "text")
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  iface.launch()
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