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import item_dict_gen as igen
import img2img
import card_generator as card
import utilities as u
import sys
from github import Github
image_path = str
end_phrase = """<|end_of_turn|>"""
# Indexing the contents of Card templates and temp images
card_template_path = "./card_templates/"
temp_image_path = "./image_temp"
def index_image_paths(repo_name,directory_path):
g = Github() # No token needed for public repos
repo = g.get_repo(repo_name)
contents = repo.get_contents(directory_path)
files = []
for content_file in contents:
if content_file.type == "file":
media_url = content_file.download_url.replace("raw.githubusercontent.com", "media.githubusercontent.com/media")
files.append(media_url) # Or content_file.path for just the path
return files
user_pick_template_prompt = "Pick a template number from this list : "
user_pick_image_prompt = "Select an image : "
# Check if the user wants to exit the chatbot
def user_exit_question(user_input):
if user_input.lower() in ['exit', 'quit']:
print("Chatbot session ended.")
sys.exit()
# Process the list of files in the card_template directory and print with corresponding numbers to index
def process_list_for_user_response(list_of_items):
x = 0
for item in list_of_items:
print(f"{x} : {item}")
x += 1
def user_pick_item(user_prompt,list_of_items):
process_list_for_user_response(list_of_items)
user_input = input(user_prompt)
# Check if the user wants to exit the chatbot
user_exit_question(user_input)
return list_of_items[int(user_input)]
def call_llm(user_input):
# Process the query and get the response
llm_call = igen.call_llm_and_cleanup(user_input)
response = llm_call
# Find the index of the phrase
index = response.find(end_phrase)
print(f"index = {index}")
if index != -1:
# Slice the string from the end of the phrase onwards
response = response[index + len(end_phrase):]
else:
# Phrase not found, optional handling
response = response
response = response.replace("GPT4 Assistant: ", "")
print(response)
response = igen.convert_to_dict(response)
if not response:
response = call_llm(user_input)
del llm_call
return response
def prompt_user_input():
mimic = None
while True:
user_input_item = input("Provide an item : ")
user_exit_question(user_input_item)
if 'mimic' in user_input_item.lower():
mimic = True
#user_input_template = input(f"Pick a template number from this list : {process_list_for_user_response(list_of_card_templates)}")
user_input_template = user_pick_item(user_pick_template_prompt)
response = call_llm(user_input_item)
print(response[u.keys_list(response,0)])
output_dict = response[u.keys_list(response,0)]
item_name = response[u.keys_list(response,0)]['Name']
sd_prompt = response[u.keys_list(response,0)]['SD Prompt']
image_path = img2img.generate_image(4,sd_prompt,item_name,user_input_template, mimic)
user_card_image = user_pick_item(user_pick_image_prompt, image_path)
print(image_path)
card.render_text_on_card(user_card_image, output_dict)
u.delete_files(u.image_list)
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