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import streamlit as st
from PIL import Image
import yaml
import requests
import os
from datetime import datetime
import json
import secrets
from thaTube import thaTube
folders = {'out':'output',
'mp3':'mp3',
'assets':'assets'}
# Output folder
output_folder = "output"
for folder in folders.keys():
os.makedirs(folders[folder], exist_ok=True)
def generate_random_key():
return secrets.token_hex(8) # Generates a 16-character hexadecimal string
# Function to load YAML files
def load_yaml_file(file_path):
with open(file_path, "r") as file:
return yaml.safe_load(file)
# Initialize app configuration
st.set_page_config(page_title="Multi-tab Image App", layout="wide")
# Placeholder for the image display
image_placeholder = st.empty()
# Load Chatbot system prompts
chatbot_prompts = load_yaml_file("system_prompts.yaml")
# Tabs
tab_names = ["Image Generation", "Chat/Prompt Enhancement", "AIvatar ChatBot", "Story Generation", "Gallery", "System Prompts Editor"]
tabs = st.tabs(tab_names)
# thaTube
playlist_url='https://www.youtube.com/playlist?list=PLUwVJKJgdARRdQ3Y3NFB9HMTjXTa5INcz'
tuber = thaTube(playlist_url)
# Image Generation Tab
with tabs[0]:
st.header("Image Generation")
# Input fields
prompt = st.text_input("Prompt")
seed = st.slider("Seed", min_value=0, max_value=1000000, value=0)
randomize_seed = st.checkbox("Randomize seed", value=True)
width = st.slider("Width", min_value=256, max_value=1024, value=1024)
height = st.slider("Height", min_value=256, max_value=1024, value=1024)
steps = st.slider("Inference steps", min_value=1, max_value=50, value=4)
# Generate Image button
if st.button("Generate Image"):
st.info("Generating image...")
# Simulate the image generation process
try:
# Replace with your own API call
result = {"image_path": "image.png", "generated_seed": seed}
image_path = result['image_path']
image = Image.open(image_path)
image_placeholder.image(image)
# Save image
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
prompt_slug = "_".join(prompt.replace(':', '').replace("'", '').replace('"', '').replace(',', '').replace('.', '').replace('*', '##').strip().split()[:10]).lower()
filename = f"{timestamp}_{prompt_slug}.png"
file_path = os.path.join(output_folder, filename)
image.save(file_path)
st.success(f"Image saved as {file_path}")
except Exception as e:
st.error(f"An error occurred: {str(e)}")
# Chat/Prompt Enhancement Tab
with tabs[1]:
st.header("Chat/Prompt Enhancement")
# Chat history and user input
chat_history = st.text_area("Chat History", height=300)
user_input = st.text_input("Your Input")
# Buttons for sending message or listening
if st.button("Send"):
st.info("Sending message...")
# Simulate sending a message to the chatbot
if st.button("Listen"):
st.info("Listening...")
# AIvatar ChatBot Tab
with tabs[2]:
st.header("AIvatar ChatBot")
# Chat history and user input
chat_history_ai = st.text_area("Chat History", height=300, key=generate_random_key())
user_input_ai = st.text_input("Your Input", key=generate_random_key())
# Send button
if st.button("Send AI Message"):
st.info("Sending message to AIvatar ChatBot...")
# Simulate sending a message to the chatbot
# Story Generation Tab
with tabs[3]:
st.header("Story Generation")
# Input fields for story generation
story_prompt = st.text_input("Story Prompt", key=generate_random_key())
story_style = st.text_input("Story Style", key=generate_random_key())
# Generate Story button
if st.button("Generate Story"):
st.info("Generating story...")
# Simulate story generation process
st.text_area("Story Output", "Generated story will appear here...", height=300, key=generate_random_key())
# Save to PDF button
if st.button("Save to PDF"):
st.info("Saving story to PDF...")
# Gallery Tab
with tabs[4]:
st.header("Gallery")
# Load and display images from the output folder
images = [f for f in os.listdir(output_folder) if f.endswith(".png")]
if images:
st.image([os.path.join(output_folder, img) for img in images], width=150)
else:
st.info("No images found in the gallery.")
# System Prompts Editor Tab
with tabs[5]:
st.header("System Prompts Editor")
# Select and edit prompts
prompt_keys = list(chatbot_prompts.keys())
selected_prompt_key = st.selectbox("Select a prompt to edit", prompt_keys)
selected_prompt_text = st.text_area("Prompt Text", chatbot_prompts[selected_prompt_key], height=200, key=generate_random_key())
# Save prompt button
if st.button("Save Prompt"):
chatbot_prompts[selected_prompt_key] = selected_prompt_text
# Save the updated prompts back to the YAML file
with open("system_prompts.yaml", "w") as file:
yaml.safe_dump(chatbot_prompts, file)
st.success(f"Prompt '{selected_prompt_key}' saved successfully!") |