Try again without the weirdness.

dataLoad.py

@@ -3,10 +3,6 @@
 from PIL import Image
 from pprint import pprint
 
-<<<<<<< Updated upstream
-import sys, time, os, requests, random, json, argparse
-import subprocess, yaml
-=======
 import sys
 import time
 import os
@@ -15,7 +11,6 @@ import random
 import json
 import argparse
 import subprocess
->>>>>>> Stashed changes
 
 parser = argparse.ArgumentParser(description="S0urce.io utility program.")
 parser.add_argument("--download", help="Download Images", action="store_true")
@@ -263,13 +258,6 @@ def run(difficult, index):
     Where we ask the user what the word is, and after that we save all that to a file in the data directory.
     """
 
-<<<<<<< Updated upstream
-    fname = f"images/{difficult}_{x}.png"
-
-    if not os.path.exists(fname):
-        print("Could not find '{0}'".format(fname))
-        return False # We did not complete
-=======
     for x in range(0, 70):
         fname = image_filename(difficult, x)
 
@@ -278,7 +266,6 @@ def run(difficult, index):
             # continue
             # We've reached the end, so stop looking.  :P
             break
->>>>>>> Stashed changes
 
     print(f"Loading: {fname}")
     im = Image.open(fname)
@@ -310,13 +297,9 @@ def run(difficult, index):
     # print(f"File '{fname}' automatically removed")
 
 
-<<<<<<< Updated upstream
-def autotrain(difficult, index):
-=======
 key_word = {}
 
 def autotrain(difficult):
->>>>>>> Stashed changes
     """
     run, represents a single execution of components to the image, (Actuall we do it 1 category at a time instead of just 1 single execution )
     those components do the following...                           (Each category has around 70 items so we standardize on 70, but           )
@@ -327,29 +310,6 @@ def autotrain(difficult):
     Where we ask the user what the word is, and after that we save all that to a file in the data directory.
     """
 
-<<<<<<< Updated upstream
-    # Re aranged the code so I can have it return after each word
-    fname = f"images/{difficult}_{x}.png"
-
-    if not os.path.exists(fname):
-        print("Could not find '{0}'".format(fname))
-        return False # We did not complete
-
-    print(f"Loading: {fname}")
-    fileout = "data/{0}_{1}".format(difficult, x)
-    output = subprocess.run(
-        ["tesseract", fname, fileout],
-        stderr=subprocess.DEVNULL,
-        # capture_output=False,
-        shell=False,
-    )
-
-    with open(fileout + ".txt", "r") as fp:
-        word = fp.read().strip()
-        print(word)
-
-    return word # Save this to the dict
-=======
     for x in range(0, 70):
         fname = image_filename(difficult, x)
 
@@ -376,7 +336,6 @@ def autotrain(difficult):
             word = fp.read().strip().lower()
             key_word[f'{difficult}_{x}'] = word
             print(word)
->>>>>>> Stashed changes
 
 
 # Now to call all the previous functions
@@ -404,19 +363,9 @@ if args.train:
     # Img Processing: Run thru every single category and every single word
     wordDict = {}
     for level in ["e", "m", "h"]:
-<<<<<<< Updated upstream
-        for x in range(0, 66):
-            at = autotrain(level, x) 
-            if(at != False): # If it is complete store it
-                wordDict["{0}_{1}".format(level, x)] = at
-
-    with open('words.yml', 'w') as f:
-        yaml.dump(wordDict, f) # Writes it automatically into the file
-=======
         autotrain(level)
     with open(args.JSON, 'w') as fp:
         json.dump(key_word, fp, sort_keys=True, indent=2)
->>>>>>> Stashed changes
 
 # ----------------------------------------------------------------------------------------
 # All below was in a seperate dataJS.py file... but now I have fixed it so it's 1 script!