Delete SQLDB.py

SQLDB.py

@@ -1,107 +0,0 @@
-import sqlite3
-import re
-import openai
-
-def gpt3(texts):
-    openai.api_key ="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"
-
-    response = openai.Completion.create(
-      engine="code-davinci-002",
-      prompt= texts,
-          temperature=0,
-          max_tokens=100,
-          top_p=1,
-          frequency_penalty=0.0,
-          presence_penalty=0.0,
-          suffix='")',
-          stop = ("conn.close()", "</code>", "#")
-    )
-    x = response.choices[0].text 
-    #extract the text inside of the cur.execute() function. for example 'cur.execute("SELECT * FROM gptsum")' would turn into 'SELECT * FROM gptsum'
-    x = re.sub(r'(cur.execute\(\"|\"\))', '', x)
-    # cut everything off after the first "\n"
-    x = x.split("\n")[0]
-    return x
-
-
-
-#using the name of the database, return the table names and the column names
-
-def print_attributes(database, table):
-    conn = sqlite3.connect(database)
-    c = conn.cursor()
-    c.execute("PRAGMA table_info(" + table + ")")
-    print(c.fetchall())
-    conn.close()
-
-# if tabes returns ([], []), re do the function and the base input
-def get_tables():
-    # make the base variable global
-    global base
-    base = input("Name the database to connect to:")
-    if len(base) <5:
-        print("The name is too short")
-        get_tables()
-    #exit clause
-    if base == "exit":
-        return
-    conn = sqlite3.connect(base)
-    c = conn.cursor()
-    c.execute("SELECT name FROM sqlite_master WHERE type='table';")
-    tables = c.fetchall()
-
-
-    conn.close()
-    if tables == [] and columns == []:
-        get_tables()
-    return tables
-
-
-
-
-#tables = get_tables()
-
-#if len(base)==0:
-#    base= "gmaildb.sqlite"
-
-# turn this: "request=input("What would you like to do to the database?")" into a callable function that repeats itself if too short
-
-def request():
-    requests=input("What would you like to do to the database?")
-    if len(requests) < 5:
-        print("The request is too short")
-        request()
-    return requests
-
-import gradio as gr
-
-
-# create a UI using gradio that takes in a text name and a text prompt, which then is displayed back to the user
-
-def greet( prompt):
-    txt= ("# Python 3 \n# SQLite \n# "+prompt+ "\nimport sqlite3"+'\nconn = sqlite3.connect("database")\ncur= conn.cursor()\ncur.execute("')
-    sql = gpt3(txt)
-    return sql
-
-    #the scrip variable is a string of python code with a sql query in it. execute the code keep the result in a variable
-
-
-
-
-iface = gr.Interface(greet, inputs = ["text"], outputs = "text")
-iface.launch(share=True  )
-
-
-#breakpoint()
-#req = request()
-
-#txt= ("# Python 3 \n# SQLite \n# "+req+ "\nimport sqlite3"+'\nconn = sqlite3.connect("'+ base +'")\ncur = conn.cursor()')
-#cod = gpt3(txt)
-
-
-#scrip= (txt+str(cod))
-#print(scrip)
-#exec(scrip)
-
-
-