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# import tkinter as tk
# from tkinter import scrolledtext, ttk
# import threading
# import google.generativeai as genai
# from PIL import Image, ImageTk
# import os
# import time
# class GeminiChatbot:
# def __init__(self, root):
# self.root = root
# self.root.title("Gemini AI Chatbot")
# self.root.geometry("800x600")
# self.root.configure(bg="#f0f0f0")
# # Configure API key
# genai.configure(api_key="AIzaSyCzHa6m60yJ6-gd81SABHUrNpK6m3Nl4uY")
# # Load the model
# self.model = genai.GenerativeModel('gemini-2.0-flash')
# # Create chat instance
# self.chat = self.model.start_chat(history=[])
# self.create_widgets()
# def create_widgets(self):
# # Main frame
# main_frame = tk.Frame(self.root, bg="#f0f0f0")
# main_frame.pack(fill=tk.BOTH, expand=True, padx=10, pady=10)
# # Chat history area
# self.chat_history = scrolledtext.ScrolledText(
# main_frame,
# wrap=tk.WORD,
# bg="white",
# font=("Arial", 10),
# state="disabled",
# height=20
# )
# self.chat_history.pack(fill=tk.BOTH, expand=True, padx=5, pady=5)
# # Input area frame
# input_frame = tk.Frame(main_frame, bg="#f0f0f0")
# input_frame.pack(fill=tk.X, pady=5)
# # Message input field
# self.message_input = scrolledtext.ScrolledText(
# input_frame,
# wrap=tk.WORD,
# height=3,
# font=("Arial", 10)
# )
# self.message_input.pack(side=tk.LEFT, fill=tk.X, expand=True, padx=(0, 5))
# self.message_input.bind("<Return>", self.send_on_enter)
# # Send button
# self.send_button = ttk.Button(
# input_frame,
# text="Send",
# command=self.send_message,
# style="Send.TButton"
# )
# self.send_button.pack(side=tk.RIGHT, padx=5)
# # Status bar
# self.status_var = tk.StringVar()
# self.status_var.set("Ready")
# self.status_bar = tk.Label(
# self.root,
# textvariable=self.status_var,
# bd=1,
# relief=tk.SUNKEN,
# anchor=tk.W
# )
# self.status_bar.pack(side=tk.BOTTOM, fill=tk.X)
# # Style configuration
# style = ttk.Style()
# style.configure("Send.TButton", font=("Arial", 10, "bold"))
# # Welcome message
# self.update_chat_history("Gemini AI: Hello! How can I assist you today?", "bot")
# def update_chat_history(self, message, sender):
# self.chat_history.config(state="normal")
# # Format based on sender
# if sender == "user":
# self.chat_history.insert(tk.END, "You: " + message + "\n\n", "user_msg")
# self.chat_history.tag_config("user_msg", foreground="#0078D7", font=("Arial", 10, "bold"))
# elif sender == "bot":
# self.chat_history.insert(tk.END, message + "\n\n", "bot_msg")
# self.chat_history.tag_config("bot_msg", foreground="#4a4a4a", font=("Arial", 10))
# self.chat_history.config(state="disabled")
# self.chat_history.see(tk.END)
# def send_on_enter(self, event):
# if not event.state & 0x0001: # Check if shift key is not pressed
# self.send_message()
# return "break" # Prevents the default behavior (newline)
# def send_message(self):
# user_message = self.message_input.get("1.0", tk.END).strip()
# if not user_message:
# return
# # Clear input field
# self.message_input.delete("1.0", tk.END)
# # Update chat history with user message
# self.update_chat_history(user_message, "user")
# # Disable send button and update status
# self.send_button.config(state="disabled")
# self.status_var.set("Thinking...")
# self.root.update_idletasks()
# # Process in a separate thread to keep UI responsive
# threading.Thread(target=self.get_ai_response, args=(user_message,), daemon=True).start()
# def get_ai_response(self, user_message):
# try:
# # Get response from Gemini
# response = self.chat.send_message(user_message)
# response_text = response.text
# # Update the chat history with AI response
# self.root.after(0, lambda: self.update_chat_history(f"Gemini AI: {response_text}", "bot"))
# except Exception as e:
# error_message = f"An error occurred: {str(e)}"
# self.root.after(0, lambda: self.update_chat_history(f"Gemini AI: {error_message}", "bot"))
# # Re-enable the send button and update status
# self.root.after(0, lambda: self.send_button.config(state="normal"))
# self.root.after(0, lambda: self.status_var.set("Ready"))
# def main():
# root = tk.Tk()
# app = GeminiChatbot(root)
# root.mainloop()
# if __name__ == "__main__":
# main()
# import requests
# import json
# import time
# import os
# # Simple StarryAI image generator based on your provided code
# def generate_image(api_key, prompt):
# """Generate an image using the StarryAI API"""
# url = "https://api.starryai.com/creations/"
# payload = {
# "prompt": prompt,
# "model": "lyra",
# "aspectRatio": "square",
# "highResolution": False,
# "images": 4,
# "steps": 20,
# "initialImageMode": "color"
# }
# headers = {
# "accept": "application/json",
# "content-type": "application/json",
# "X-API-Key": api_key
# }
# print("Sending request to StarryAI API...")
# response = requests.post(url, json=payload, headers=headers)
# # Print the raw response for debugging
# print(f"Response status code: {response.status_code}")
# print(f"Response content: {response.text}")
# if response.status_code != 200:
# print(f"Error: API returned status code {response.status_code}")
# return None
# try:
# return response.json()
# except json.JSONDecodeError:
# print("Error: Could not parse JSON response")
# return None
# def check_creation_status(api_key, creation_id):
# """Check the status of an image creation"""
# url = f"https://api.starryai.com/creations/{creation_id}"
# headers = {
# "accept": "application/json",
# "X-API-Key": api_key
# }
# response = requests.get(url, headers=headers)
# if response.status_code != 200:
# print(f"Error checking status: API returned status code {response.status_code}")
# print(f"Response: {response.text}")
# return None
# try:
# return response.json()
# except json.JSONDecodeError:
# print("Error: Could not parse JSON response")
# return None
# def wait_for_creation(api_key, creation_id, max_wait_time=300, check_interval=5):
# """Wait for an image creation to complete"""
# start_time = time.time()
# while time.time() - start_time < max_wait_time:
# print(f"Checking status of creation {creation_id}...")
# status_data = check_creation_status(api_key, creation_id)
# if not status_data:
# print("Failed to get status data")
# return None
# print(f"Status data: {json.dumps(status_data, indent=2)}")
# # Extract status from response (adjust based on actual API response structure)
# status = status_data.get("status")
# if not status:
# print("Could not find status in response")
# return None
# print(f"Current status: {status}")
# if status == "completed":
# return status_data
# elif status == "failed":
# print("Creation failed")
# return status_data
# print(f"Waiting {check_interval} seconds before checking again...")
# time.sleep(check_interval)
# print(f"Timed out after {max_wait_time} seconds")
# return None
# def download_and_save_image(image_url, output_path="generated_image.png"):
# """Download and save an image from a URL"""
# try:
# response = requests.get(image_url)
# if response.status_code != 200:
# print(f"Error downloading image: API returned status code {response.status_code}")
# return False
# with open(output_path, "wb") as f:
# f.write(response.content)
# print(f"Image saved to {output_path}")
# return True
# except Exception as e:
# print(f"Error downloading image: {e}")
# return False
# def main():
# # Your API key
# api_key = "dugMLMJ_GP-tVeyJE1UIq58ZNQ8-mQ"
# # Get prompt from user
# prompt = input("Enter a prompt for image generation: ")
# # Generate image
# print(f"Starting image generation with prompt: '{prompt}'")
# creation_data = generate_image(api_key, prompt)
# if not creation_data:
# print("Failed to start generation")
# return
# print(f"API Response: {json.dumps(creation_data, indent=2)}")
# # Extract creation ID (adjust based on actual API response structure)
# creation_id = creation_data.get("id")
# if not creation_id:
# print("No creation ID in response")
# return
# print(f"Creation started with ID: {creation_id}")
# # Wait for creation to complete
# print("Waiting for image generation to complete...")
# completed_data = wait_for_creation(api_key, creation_id)
# if not completed_data:
# print("Failed to get completed creation data")
# return
# # Get image URL (adjust based on actual API response structure)
# # This might be different based on the API's actual response format
# image_url = None
# if "imageUrl" in completed_data:
# image_url = completed_data["imageUrl"]
# elif "output" in completed_data and "imageUrl" in completed_data["output"]:
# image_url = completed_data["output"]["imageUrl"]
# elif "images" in completed_data and len(completed_data["images"]) > 0:
# image_url = completed_data["images"][0]["url"]
# if not image_url:
# print("Could not find image URL in response")
# print(f"Response data: {json.dumps(completed_data, indent=2)}")
# return
# # Download and save the image
# output_filename = f"starryai_{int(time.time())}.png"
# if download_and_save_image(image_url, output_filename):
# print(f"Successfully generated and saved image to {output_filename}")
# # Try to open the image
# try:
# from PIL import Image
# Image.open(output_filename).show()
# print("Image opened in default viewer")
# except ImportError:
# print("PIL not installed, cannot display image")
# except Exception as e:
# print(f"Could not display image: {e}")
# else:
# print("Failed to download and save image")
# if __name__ == "__main__":
# main()
# import tkinter as tk
# from tkinter import ttk, scrolledtext
# import requests
# import json
# import time
# import os
# import threading
# from PIL import Image, ImageTk
# from io import BytesIO
# import webbrowser
# class StarryAIGenerator:
# def __init__(self, root):
# self.root = root
# self.root.title("StarryAI Image Generator")
# self.root.geometry("1000x800")
# self.root.configure(bg="#f0f0f0")
# # Your API key - you might want to store this more securely in a real application
# self.api_key = "dugMLMJ_GP-tVeyJE1UIq58ZNQ8-mQ"
# # Create UI elements
# self.create_widgets()
# # Store image references to prevent garbage collection
# self.image_references = []
# # For storing generated image URLs
# self.generated_image_urls = []
# def create_widgets(self):
# # Main frame
# main_frame = ttk.Frame(self.root, padding="10")
# main_frame.pack(fill=tk.BOTH, expand=True)
# # Title label
# title_label = ttk.Label(
# main_frame,
# text="StarryAI Image Generator",
# font=("Arial", 20, "bold")
# )
# title_label.pack(pady=(0, 20))
# # Input frame
# input_frame = ttk.Frame(main_frame)
# input_frame.pack(fill=tk.X, pady=10)
# # Prompt label and entry
# prompt_label = ttk.Label(input_frame, text="Enter your prompt:", font=("Arial", 12))
# prompt_label.pack(side=tk.LEFT, padx=(0, 10))
# self.prompt_entry = ttk.Entry(input_frame, width=50, font=("Arial", 12))
# self.prompt_entry.pack(side=tk.LEFT, fill=tk.X, expand=True, padx=(0, 10))
# # Generate button
# self.generate_button = ttk.Button(
# input_frame,
# text="Generate Images",
# command=self.start_generation
# )
# self.generate_button.pack(side=tk.RIGHT)
# # Options frame
# options_frame = ttk.LabelFrame(main_frame, text="Options", padding="10")
# options_frame.pack(fill=tk.X, pady=10)
# # Model selection
# model_label = ttk.Label(options_frame, text="Model:")
# model_label.grid(row=0, column=0, sticky=tk.W, padx=5, pady=5)
# self.model_var = tk.StringVar(value="lyra")
# model_combo = ttk.Combobox(
# options_frame,
# textvariable=self.model_var,
# values=["lyra", "orion", "nebula"],
# state="readonly",
# width=15
# )
# model_combo.grid(row=0, column=1, sticky=tk.W, padx=5, pady=5)
# # Aspect ratio
# aspect_label = ttk.Label(options_frame, text="Aspect Ratio:")
# aspect_label.grid(row=0, column=2, sticky=tk.W, padx=5, pady=5)
# self.aspect_var = tk.StringVar(value="square")
# aspect_combo = ttk.Combobox(
# options_frame,
# textvariable=self.aspect_var,
# values=["square", "portrait", "landscape"],
# state="readonly",
# width=15
# )
# aspect_combo.grid(row=0, column=3, sticky=tk.W, padx=5, pady=5)
# # High resolution
# self.high_res_var = tk.BooleanVar(value=False)
# high_res_check = ttk.Checkbutton(
# options_frame,
# text="High Resolution",
# variable=self.high_res_var
# )
# high_res_check.grid(row=0, column=4, sticky=tk.W, padx=5, pady=5)
# # Steps
# steps_label = ttk.Label(options_frame, text="Steps:")
# steps_label.grid(row=1, column=0, sticky=tk.W, padx=5, pady=5)
# self.steps_var = tk.IntVar(value=20)
# steps_spin = ttk.Spinbox(
# options_frame,
# from_=5,
# to=50,
# textvariable=self.steps_var,
# width=5
# )
# steps_spin.grid(row=1, column=1, sticky=tk.W, padx=5, pady=5)
# # Number of images
# images_label = ttk.Label(options_frame, text="Images:")
# images_label.grid(row=1, column=2, sticky=tk.W, padx=5, pady=5)
# self.images_var = tk.IntVar(value=4)
# images_spin = ttk.Spinbox(
# options_frame,
# from_=1,
# to=4,
# textvariable=self.images_var,
# width=5
# )
# images_spin.grid(row=1, column=3, sticky=tk.W, padx=5, pady=5)
# # Progress frame
# progress_frame = ttk.LabelFrame(main_frame, text="Progress", padding="10")
# progress_frame.pack(fill=tk.X, pady=10)
# # Status label
# self.status_var = tk.StringVar(value="Ready")
# status_label = ttk.Label(progress_frame, textvariable=self.status_var)
# status_label.pack(side=tk.LEFT, padx=(0, 10))
# # Progress bar
# self.progress = ttk.Progressbar(progress_frame, mode="indeterminate", length=300)
# self.progress.pack(side=tk.LEFT, fill=tk.X, expand=True)
# # Log frame
# log_frame = ttk.LabelFrame(main_frame, text="Log", padding="10")
# log_frame.pack(fill=tk.BOTH, expand=True, pady=10)
# # Log text area
# self.log_text = scrolledtext.ScrolledText(log_frame, height=5, wrap=tk.WORD)
# self.log_text.pack(fill=tk.BOTH, expand=True)
# # Images frame
# self.images_frame = ttk.LabelFrame(main_frame, text="Generated Images", padding="10")
# self.images_frame.pack(fill=tk.BOTH, expand=True, pady=10)
# # Image display area
# self.images_display = ttk.Frame(self.images_frame)
# self.images_display.pack(fill=tk.BOTH, expand=True)
# def log(self, message):
# """Add message to log text area"""
# self.log_text.configure(state="normal")
# self.log_text.insert(tk.END, message + "\n")
# self.log_text.see(tk.END)
# self.log_text.configure(state="disabled")
# self.root.update_idletasks()
# def start_generation(self):
# """Start image generation in a separate thread"""
# prompt = self.prompt_entry.get().strip()
# if not prompt:
# self.log("Please enter a prompt")
# return
# # Disable the generate button and start progress bar
# self.generate_button.configure(state="disabled")
# self.progress.start()
# self.status_var.set("Generating...")
# # Clear previous images
# for widget in self.images_display.winfo_children():
# widget.destroy()
# self.image_references.clear()
# self.generated_image_urls.clear()
# # Start generation in a new thread
# thread = threading.Thread(target=self.generate_images, args=(prompt,))
# thread.daemon = True
# thread.start()
# def generate_images(self, prompt):
# """Generate images in a background thread"""
# try:
# self.log(f"Starting image generation with prompt: '{prompt}'")
# # Get parameters from UI
# model = self.model_var.get()
# aspect_ratio = self.aspect_var.get()
# high_res = self.high_res_var.get()
# steps = self.steps_var.get()
# num_images = self.images_var.get()
# # API call parameters
# url = "https://api.starryai.com/creations/"
# payload = {
# "prompt": prompt,
# "model": model,
# "aspectRatio": aspect_ratio,
# "highResolution": high_res,
# "images": num_images,
# "steps": steps,
# "initialImageMode": "color"
# }
# headers = {
# "accept": "application/json",
# "content-type": "application/json",
# "X-API-Key": self.api_key
# }
# # Make API request
# self.log("Sending request to StarryAI API...")
# response = requests.post(url, json=payload, headers=headers)
# self.log(f"Response status code: {response.status_code}")
# if response.status_code != 200:
# self.log(f"Error: API returned status code {response.status_code}")
# self.log(f"Response content: {response.text}")
# self.root.after(0, self.end_generation)
# return
# # Parse response
# try:
# creation_data = response.json()
# self.log(f"Creation started with ID: {creation_data.get('id')}")
# # Wait for creation to complete
# self.wait_for_creation(creation_data.get('id'))
# except json.JSONDecodeError:
# self.log("Error: Could not parse JSON response")
# self.root.after(0, self.end_generation)
# except Exception as e:
# self.log(f"Error during generation: {str(e)}")
# self.root.after(0, self.end_generation)
# def wait_for_creation(self, creation_id, max_wait_time=300, check_interval=5):
# """Wait for an image creation to complete"""
# start_time = time.time()
# while time.time() - start_time < max_wait_time:
# self.log(f"Checking status of creation {creation_id}...")
# # Check status
# url = f"https://api.starryai.com/creations/{creation_id}"
# headers = {
# "accept": "application/json",
# "X-API-Key": self.api_key
# }
# response = requests.get(url, headers=headers)
# if response.status_code != 200:
# self.log(f"Error checking status: API returned status code {response.status_code}")
# self.log(f"Response: {response.text}")
# self.root.after(0, self.end_generation)
# return
# try:
# status_data = response.json()
# status = status_data.get("status")
# self.log(f"Current status: {status}")
# if status == "completed":
# # Process completed images
# self.process_completed_images(status_data)
# return
# elif status == "failed":
# self.log("Creation failed")
# self.root.after(0, self.end_generation)
# return
# self.log(f"Waiting {check_interval} seconds before checking again...")
# time.sleep(check_interval)
# except json.JSONDecodeError:
# self.log("Error: Could not parse JSON response")
# self.root.after(0, self.end_generation)
# return
# self.log(f"Timed out after {max_wait_time} seconds")
# self.root.after(0, self.end_generation)
# def process_completed_images(self, completed_data):
# """Process and display completed images"""
# if "images" not in completed_data or not completed_data["images"]:
# self.log("No images found in completed data")
# self.root.after(0, self.end_generation)
# return
# images = completed_data["images"]
# self.log(f"Found {len(images)} generated images")
# # Store image URLs
# self.generated_image_urls = [img["url"] for img in images if img.get("url")]
# # Display images
# self.root.after(0, lambda: self.display_images(self.generated_image_urls))
# def display_images(self, image_urls):
# """Display images in the UI"""
# try:
# # Create frame for image grid
# image_grid = ttk.Frame(self.images_display)
# image_grid.pack(fill=tk.BOTH, expand=True)
# # Calculate grid dimensions
# num_images = len(image_urls)
# cols = min(2, num_images) # Max 2 columns
# rows = (num_images + cols - 1) // cols
# # Download and display each image
# for i, url in enumerate(image_urls):
# # Calculate grid position
# row = i // cols
# col = i % cols
# # Create frame for this image
# img_frame = ttk.Frame(image_grid, padding=5)
# img_frame.grid(row=row, column=col, padx=5, pady=5, sticky=tk.NSEW)
# # Add placeholder while loading
# placeholder_label = ttk.Label(img_frame, text="Loading image...", font=("Arial", 12))
# placeholder_label.pack(padx=5, pady=5)
# # Start a thread to download the image
# thread = threading.Thread(
# target=self.load_image_thread,
# args=(url, img_frame, placeholder_label, i)
# )
# thread.daemon = True
# thread.start()
# # Configure grid weights
# for i in range(rows):
# image_grid.rowconfigure(i, weight=1)
# for i in range(cols):
# image_grid.columnconfigure(i, weight=1)
# except Exception as e:
# self.log(f"Error displaying images: {str(e)}")
# finally:
# # End generation process
# self.end_generation()
# def load_image_thread(self, url, frame, placeholder_label, index):
# """Thread function to load an image from URL"""
# try:
# # Download the image
# response = requests.get(url)
# if response.status_code != 200:
# self.root.after(0, lambda: self.log(f"Error downloading image {index+1}: Status code {response.status_code}"))
# return
# # Create PIL Image from bytes
# img = Image.open(BytesIO(response.content))
# # Resize for display (maintaining aspect ratio)
# target_size = 300 # Target size for display
# ratio = min(target_size / img.width, target_size / img.height)
# new_size = (int(img.width * ratio), int(img.height * ratio))
# img_resized = img.resize(new_size, Image.Resampling.LANCZOS)
# # Convert to PhotoImage
# photo = ImageTk.PhotoImage(img_resized)
# self.image_references.append(photo) # Keep a reference
# # Remove placeholder and display image
# self.root.after(0, lambda: placeholder_label.pack_forget())
# # Create and display the image label
# image_label = ttk.Label(frame, image=photo)
# self.root.after(0, lambda: image_label.pack(padx=5, pady=5))
# # Add URL label and save button
# url_text = f"Image {index+1}"
# url_label = ttk.Label(frame, text=url_text, cursor="hand2")
# url_label.bind("<Button-1>", lambda e, u=url: webbrowser.open(u))
# self.root.after(0, lambda: url_label.pack(padx=5, pady=(0, 5)))
# # Add save button
# save_button = ttk.Button(
# frame,
# text="Save Image",
# command=lambda u=url, i=index: self.save_image(u, i)
# )
# self.root.after(0, lambda: save_button.pack(padx=5, pady=5))
# except Exception as e:
# self.root.after(0, lambda: self.log(f"Error loading image {index+1}: {str(e)}"))
# def save_image(self, url, index):
# """Save an image to disk"""
# try:
# # Download the image
# response = requests.get(url)
# if response.status_code != 200:
# self.log(f"Error downloading image for saving: Status code {response.status_code}")
# return
# # Create a unique filename
# output_filename = f"starryai_{int(time.time())}_{index+1}.png"
# # Save the image
# with open(output_filename, "wb") as f:
# f.write(response.content)
# self.log(f"Image saved to {output_filename}")
# except Exception as e:
# self.log(f"Error saving image: {str(e)}")
# def end_generation(self):
# """End the generation process, reset UI"""
# self.generate_button.configure(state="normal")
# self.progress.stop()
# self.status_var.set("Ready")
# def main():
# root = tk.Tk()
# app = StarryAIGenerator(root)
# root.mainloop()
# if __name__ == "__main__":
# main()
# import tkinter as tk
# from tkinter import ttk, scrolledtext, filedialog
# import requests
# import json
# import time
# import os
# import threading
# from PIL import Image, ImageTk
# from io import BytesIO
# import webbrowser
# class StarryAIGenerator:
# def __init__(self, root):
# self.root = root
# self.root.title("StarryAI Image Generator")
# self.root.geometry("1000x800")
# self.root.configure(bg="#f0f0f0")
# # Your API key - you might want to store this more securely in a real application
# self.api_key = "EQeCGEkNmLFDpolGL4nxdu49f7Q_NQ"
# # Create UI elements
# self.create_widgets()
# # Store image references to prevent garbage collection
# self.image_references = []
# # For storing generated image URLs
# self.generated_image_urls = []
# def create_widgets(self):
# # Main frame
# main_frame = ttk.Frame(self.root, padding="10")
# main_frame.pack(fill=tk.BOTH, expand=True)
# # Title label
# title_label = ttk.Label(
# main_frame,
# text="StarryAI Image Generator",
# font=("Arial", 20, "bold")
# )
# title_label.pack(pady=(0, 20))
# # Input frame
# input_frame = ttk.Frame(main_frame)
# input_frame.pack(fill=tk.X, pady=10)
# # Prompt label and entry
# prompt_label = ttk.Label(input_frame, text="Enter your prompt:", font=("Arial", 12))
# prompt_label.pack(side=tk.LEFT, padx=(0, 10))
# self.prompt_entry = ttk.Entry(input_frame, width=50, font=("Arial", 12))
# self.prompt_entry.pack(side=tk.LEFT, fill=tk.X, expand=True, padx=(0, 10))
# # Generate button
# self.generate_button = ttk.Button(
# input_frame,
# text="Generate Images",
# command=self.start_generation
# )
# self.generate_button.pack(side=tk.RIGHT)
# # Options frame
# options_frame = ttk.LabelFrame(main_frame, text="Options", padding="10")
# options_frame.pack(fill=tk.X, pady=10)
# # Model selection
# model_label = ttk.Label(options_frame, text="Model:")
# model_label.grid(row=0, column=0, sticky=tk.W, padx=5, pady=5)
# self.model_var = tk.StringVar(value="lyra")
# model_combo = ttk.Combobox(
# options_frame,
# textvariable=self.model_var,
# values=["lyra"],
# state="readonly",
# width=15
# )
# model_combo.grid(row=0, column=1, sticky=tk.W, padx=5, pady=5)
# # Aspect ratio
# aspect_label = ttk.Label(options_frame, text="Aspect Ratio:")
# aspect_label.grid(row=0, column=2, sticky=tk.W, padx=5, pady=5)
# self.aspect_var = tk.StringVar(value="square")
# aspect_combo = ttk.Combobox(
# options_frame,
# textvariable=self.aspect_var,
# values=["square", "portrait", "landscape"],
# state="readonly",
# width=15
# )
# aspect_combo.grid(row=0, column=3, sticky=tk.W, padx=5, pady=5)
# # High resolution
# self.high_res_var = tk.BooleanVar(value=False)
# high_res_check = ttk.Checkbutton(
# options_frame,
# text="High Resolution",
# variable=self.high_res_var
# )
# high_res_check.grid(row=0, column=4, sticky=tk.W, padx=5, pady=5)
# # Steps
# steps_label = ttk.Label(options_frame, text="Steps:")
# steps_label.grid(row=1, column=0, sticky=tk.W, padx=5, pady=5)
# self.steps_var = tk.IntVar(value=20)
# steps_spin = ttk.Spinbox(
# options_frame,
# from_=5,
# to=50,
# textvariable=self.steps_var,
# width=5
# )
# steps_spin.grid(row=1, column=1, sticky=tk.W, padx=5, pady=5)
# # Number of images
# images_label = ttk.Label(options_frame, text="Images:")
# images_label.grid(row=1, column=2, sticky=tk.W, padx=5, pady=5)
# self.images_var = tk.IntVar(value=4)
# images_spin = ttk.Spinbox(
# options_frame,
# from_=1,
# to=4,
# textvariable=self.images_var,
# width=5
# )
# images_spin.grid(row=1, column=3, sticky=tk.W, padx=5, pady=5)
# # Progress frame
# progress_frame = ttk.LabelFrame(main_frame, text="Progress", padding="10")
# progress_frame.pack(fill=tk.X, pady=10)
# # Status label
# self.status_var = tk.StringVar(value="Ready")
# status_label = ttk.Label(progress_frame, textvariable=self.status_var)
# status_label.pack(side=tk.LEFT, padx=(0, 10))
# # Progress bar
# self.progress = ttk.Progressbar(progress_frame, mode="indeterminate", length=300)
# self.progress.pack(side=tk.LEFT, fill=tk.X, expand=True)
# # Log frame
# log_frame = ttk.LabelFrame(main_frame, text="Log", padding="10")
# log_frame.pack(fill=tk.BOTH, expand=True, pady=10)
# # Log text area
# self.log_text = scrolledtext.ScrolledText(log_frame, height=5, wrap=tk.WORD)
# self.log_text.pack(fill=tk.BOTH, expand=True)
# # Images frame with scrolling capability
# images_outer_frame = ttk.LabelFrame(main_frame, text="Generated Images", padding="10")
# images_outer_frame.pack(fill=tk.BOTH, expand=True, pady=10)
# # Add a canvas with scrollbar for image display
# self.images_canvas = tk.Canvas(images_outer_frame)
# scrollbar = ttk.Scrollbar(images_outer_frame, orient="vertical", command=self.images_canvas.yview)
# self.images_frame = ttk.Frame(self.images_canvas)
# # Configure the canvas
# self.images_canvas.configure(yscrollcommand=scrollbar.set)
# scrollbar.pack(side=tk.RIGHT, fill=tk.Y)
# self.images_canvas.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
# # Create window in canvas for the images frame
# self.canvas_frame = self.images_canvas.create_window((0, 0), window=self.images_frame, anchor="nw")
# # Configure canvas scrolling
# self.images_frame.bind("<Configure>", self.on_frame_configure)
# self.images_canvas.bind("<Configure>", self.on_canvas_configure)
# # Bind mousewheel for scrolling
# self.images_canvas.bind_all("<MouseWheel>", self.on_mousewheel)
# def on_frame_configure(self, event):
# """Reset the scroll region to encompass the inner frame"""
# self.images_canvas.configure(scrollregion=self.images_canvas.bbox("all"))
# def on_canvas_configure(self, event):
# """When canvas is resized, update the window size"""
# canvas_width = event.width
# self.images_canvas.itemconfig(self.canvas_frame, width=canvas_width)
# def on_mousewheel(self, event):
# """Handle mousewheel scrolling"""
# self.images_canvas.yview_scroll(int(-1*(event.delta/120)), "units")
# def log(self, message):
# """Add message to log text area"""
# self.log_text.configure(state="normal")
# self.log_text.insert(tk.END, message + "\n")
# self.log_text.see(tk.END)
# self.log_text.configure(state="disabled")
# self.root.update_idletasks()
# def start_generation(self):
# """Start image generation in a separate thread"""
# prompt = self.prompt_entry.get().strip()
# if not prompt:
# self.log("Please enter a prompt")
# return
# # Disable the generate button and start progress bar
# self.generate_button.configure(state="disabled")
# self.progress.start()
# self.status_var.set("Generating...")
# # Clear previous images
# for widget in self.images_frame.winfo_children():
# widget.destroy()
# self.image_references.clear()
# self.generated_image_urls.clear()
# # Start generation in a new thread
# thread = threading.Thread(target=self.generate_images, args=(prompt,))
# thread.daemon = True
# thread.start()
# def generate_images(self, prompt):
# """Generate images in a background thread"""
# try:
# self.log(f"Starting image generation with prompt: '{prompt}'")
# # Get parameters from UI
# model = self.model_var.get()
# aspect_ratio = self.aspect_var.get()
# high_res = self.high_res_var.get()
# steps = self.steps_var.get()
# num_images = self.images_var.get()
# # API call parameters
# url = "https://api.starryai.com/creations/"
# payload = {
# "prompt": prompt,
# "model": model,
# "aspectRatio": aspect_ratio,
# "highResolution": high_res,
# "images": num_images,
# "steps": steps,
# "initialImageMode": "color"
# }
# headers = {
# "accept": "application/json",
# "content-type": "application/json",
# "X-API-Key": self.api_key
# }
# # Make API request
# self.log("Sending request to StarryAI API...")
# response = requests.post(url, json=payload, headers=headers)
# self.log(f"Response status code: {response.status_code}")
# if response.status_code != 200:
# self.log(f"Error: API returned status code {response.status_code}")
# self.log(f"Response content: {response.text}")
# self.root.after(0, self.end_generation)
# return
# # Parse response
# try:
# creation_data = response.json()
# self.log(f"Creation started with ID: {creation_data.get('id')}")
# # Wait for creation to complete
# self.wait_for_creation(creation_data.get('id'))
# except json.JSONDecodeError:
# self.log("Error: Could not parse JSON response")
# self.root.after(0, self.end_generation)
# except Exception as e:
# self.log(f"Error during generation: {str(e)}")
# self.root.after(0, self.end_generation)
# def wait_for_creation(self, creation_id, max_wait_time=300, check_interval=5):
# """Wait for an image creation to complete"""
# start_time = time.time()
# while time.time() - start_time < max_wait_time:
# self.log(f"Checking status of creation {creation_id}...")
# # Check status
# url = f"https://api.starryai.com/creations/{creation_id}"
# headers = {
# "accept": "application/json",
# "X-API-Key": self.api_key
# }
# response = requests.get(url, headers=headers)
# if response.status_code != 200:
# self.log(f"Error checking status: API returned status code {response.status_code}")
# self.log(f"Response: {response.text}")
# self.root.after(0, self.end_generation)
# return
# try:
# status_data = response.json()
# status = status_data.get("status")
# self.log(f"Current status: {status}")
# if status == "completed":
# # Process completed images
# self.process_completed_images(status_data)
# return
# elif status == "failed":
# self.log("Creation failed")
# self.root.after(0, self.end_generation)
# return
# self.log(f"Waiting {check_interval} seconds before checking again...")
# time.sleep(check_interval)
# except json.JSONDecodeError:
# self.log("Error: Could not parse JSON response")
# self.root.after(0, self.end_generation)
# return
# self.log(f"Timed out after {max_wait_time} seconds")
# self.root.after(0, self.end_generation)
# def process_completed_images(self, completed_data):
# """Process and display completed images"""
# if "images" not in completed_data or not completed_data["images"]:
# self.log("No images found in completed data")
# self.root.after(0, self.end_generation)
# return
# images = completed_data["images"]
# self.log(f"Found {len(images)} generated images")
# # Store image URLs
# self.generated_image_urls = [img["url"] for img in images if img.get("url")]
# # Display images
# self.root.after(0, lambda: self.display_images(self.generated_image_urls))
# def display_images(self, image_urls):
# """Display images in the UI"""
# try:
# # Calculate grid dimensions
# num_images = len(image_urls)
# cols = 2 # Fixed at 2 columns
# rows = (num_images + cols - 1) // cols
# # Configure grid
# for i in range(cols):
# self.images_frame.columnconfigure(i, weight=1, minsize=400)
# # Download and display each image
# for i, url in enumerate(image_urls):
# # Calculate grid position
# row = i // cols
# col = i % cols
# # Create frame for this image
# img_frame = ttk.Frame(self.images_frame, padding=5, borderwidth=2, relief="ridge")
# img_frame.grid(row=row, column=col, padx=10, pady=10, sticky="nsew")
# # Make image frame expand to fill its cell
# img_frame.columnconfigure(0, weight=1)
# img_frame.rowconfigure(0, weight=1)
# # Add placeholder while loading
# placeholder_label = ttk.Label(img_frame, text="Loading image...", font=("Arial", 12))
# placeholder_label.grid(row=0, column=0, padx=5, pady=5)
# # Start a thread to download the image
# thread = threading.Thread(
# target=self.load_image_thread,
# args=(url, img_frame, placeholder_label, i)
# )
# thread.daemon = True
# thread.start()
# # Update canvas scroll region
# self.images_frame.update_idletasks()
# self.images_canvas.configure(scrollregion=self.images_canvas.bbox("all"))
# except Exception as e:
# self.log(f"Error displaying images: {str(e)}")
# finally:
# # End generation process
# self.end_generation()
# def load_image_thread(self, url, frame, placeholder_label, index):
# """Thread function to load an image from URL"""
# try:
# # Download the image
# response = requests.get(url)
# if response.status_code != 200:
# self.root.after(0, lambda: self.log(f"Error downloading image {index+1}: Status code {response.status_code}"))
# return
# # Create PIL Image from bytes
# img = Image.open(BytesIO(response.content))
# # Calculate display size with fixed width but maintaining aspect ratio
# display_width = 350 # Fixed width for display
# display_height = int(img.height * (display_width / img.width))
# # Resize for display (maintaining aspect ratio)
# img_resized = img.resize((display_width, display_height), Image.Resampling.LANCZOS)
# # Convert to PhotoImage
# photo = ImageTk.PhotoImage(img_resized)
# self.image_references.append(photo) # Keep a reference
# # Remove placeholder
# self.root.after(0, lambda: placeholder_label.grid_forget())
# # Create and display the image label with proper grid configuration
# def display_image():
# image_label = ttk.Label(frame, image=photo)
# image_label.grid(row=0, column=0, padx=5, pady=5, sticky="nsew")
# # Add URL label
# url_text = f"Image {index+1}"
# url_label = ttk.Label(frame, text=url_text, cursor="hand2")
# url_label.bind("<Button-1>", lambda e, u=url: webbrowser.open(u))
# url_label.grid(row=1, column=0, padx=5, pady=(0, 5), sticky="w")
# # Add button frame for organizing buttons
# button_frame = ttk.Frame(frame)
# button_frame.grid(row=2, column=0, padx=5, pady=5, sticky="ew")
# # Add save button
# save_button = ttk.Button(
# button_frame,
# text="Save Image",
# command=lambda u=url, i=index: self.save_image(u, i)
# )
# save_button.pack(side=tk.LEFT, padx=5)
# # Update canvas scroll region to ensure all content is visible
# self.images_frame.update_idletasks()
# self.images_canvas.configure(scrollregion=self.images_canvas.bbox("all"))
# self.root.after(0, display_image)
# except Exception as e:
# self.root.after(0, lambda: self.log(f"Error loading image {index+1}: {str(e)}"))
# def save_image(self, url, index):
# """Save an image to disk"""
# try:
# # Ask user for save location
# file_types = [('PNG Image', '*.png'), ('JPEG Image', '*.jpg')]
# filename = filedialog.asksaveasfilename(
# defaultextension=".png",
# filetypes=file_types,
# title="Save Image As",
# initialfile=f"starryai_{int(time.time())}_{index+1}"
# )
# if not filename: # User cancelled
# return
# # Download the image
# response = requests.get(url)
# if response.status_code != 200:
# self.log(f"Error downloading image for saving: Status code {response.status_code}")
# return
# # Save the image
# with open(filename, "wb") as f:
# f.write(response.content)
# self.log(f"Image saved to {filename}")
# except Exception as e:
# self.log(f"Error saving image: {str(e)}")
# def end_generation(self):
# """End the generation process, reset UI"""
# self.generate_button.configure(state="normal")
# self.progress.stop()
# self.status_var.set("Ready")
# def main():
# root = tk.Tk()
# app = StarryAIGenerator(root)
# root.mainloop()
# if __name__ == "__main__":
# main()
# import streamlit as st
# import google.generativeai as genai
# import requests
# import time
# import json
# from PIL import Image
# from io import BytesIO
# import os
# class CombinedAIApp:
# def __init__(self):
# # Set page config
# st.set_page_config(
# page_title="Generation Hub",
# page_icon="🤖",
# layout="wide",
# initial_sidebar_state="expanded"
# )
# # Add title and description
# st.title("Generation Hub")
# st.markdown("Generate text with prompt")
# # API keys hardcoded (not recommended for production)
# self.gemini_api_key = "AIzaSyCzHa6m60yJ6-gd81SABHUrNpK6m3Nl4uY"
# self.starry_api_key = "EQeCGEkNmLFDpolGL4nxdu49f7Q_NQ"
# # Initialize session state for chat history
# if "gemini_chat_history" not in st.session_state:
# st.session_state.gemini_chat_history = []
# st.session_state.gemini_initialized = False
# st.session_state.generated_image_urls = []
# # Create tabs
# tab1, tab2 = st.tabs(["Text Generation", "Image Generation"])
# # Build UI for each tab
# with tab1:
# self.build_text_generation_tab()
# with tab2:
# self.build_image_generation_tab()
# def initialize_gemini(self):
# """Initialize Gemini API and chat"""
# if not st.session_state.gemini_initialized and self.gemini_api_key:
# try:
# genai.configure(api_key=self.gemini_api_key)
# st.session_state.gemini_model = genai.GenerativeModel('gemini-2.0-flash')
# st.session_state.gemini_chat = st.session_state.gemini_model.start_chat(history=[])
# st.session_state.gemini_initialized = True
# # Add welcome message if no history
# if not st.session_state.gemini_chat_history:
# st.session_state.gemini_chat_history.append({
# "role": "assistant",
# "content": "Hello! How can I assist you today?"
# })
# return True
# except Exception as e:
# st.error(f"Error initializing Gemini API: {str(e)}")
# return False
# return st.session_state.gemini_initialized
# def build_text_generation_tab(self):
# """Build the text generation tab UI"""
# st.header("Text Generation")
# # Chat container to display messages
# chat_container = st.container()
# # Display chat history
# with chat_container:
# for message in st.session_state.gemini_chat_history:
# if message["role"] == "user":
# st.chat_message("user").write(message["content"])
# else:
# st.chat_message("assistant").write(message["content"])
# # Input for user message
# user_message = st.chat_input("Type your message here...")
# # Process user input
# if user_message:
# # Add user message to chat history
# st.session_state.gemini_chat_history.append({
# "role": "user",
# "content": user_message
# })
# # Display user message
# with chat_container:
# st.chat_message("user").write(user_message)
# # Initialize Gemini if needed
# if self.initialize_gemini():
# with st.spinner("Thinking..."):
# try:
# # Get response from Gemini
# response = st.session_state.gemini_chat.send_message(user_message)
# response_text = response.text
# # Add AI response to chat history
# st.session_state.gemini_chat_history.append({
# "role": "assistant",
# "content": response_text
# })
# # Display AI response
# with chat_container:
# st.chat_message("assistant").write(response_text)
# except Exception as e:
# error_message = f"An error occurred: {str(e)}"
# st.error(error_message)
# # Add error to chat history
# st.session_state.gemini_chat_history.append({
# "role": "assistant",
# "content": error_message
# })
# # Clear chat button
# if st.button("Clear Chat History", key="clear_chat"):
# st.session_state.gemini_chat_history = []
# if st.session_state.gemini_initialized:
# st.session_state.gemini_chat = st.session_state.gemini_model.start_chat(history=[])
# st.session_state.gemini_chat_history.append({
# "role": "assistant",
# "content": "Chat history cleared. How can I assist you?"
# })
# st.rerun()
# def build_image_generation_tab(self):
# """Build the image generation tab UI"""
# st.header("Image Generation")
# # Create two columns for input and options
# col1, col2 = st.columns([3, 2])
# # Prompt input
# with col1:
# prompt = st.text_area("Enter your prompt:", height=100)
# if st.button("Generate Images", key="generate_image"):
# if not prompt.strip():
# st.error("Please enter a prompt")
# elif not self.starry_api_key:
# st.error("Please enter your StarryAI API key")
# else:
# # Clear previous images
# st.session_state.generated_image_urls = []
# # Start generation process
# with st.spinner("Generating images..."):
# self.generate_images(prompt)
# # Options
# with col2:
# st.subheader("Options")
# model = st.selectbox("Model", ["lyra"], index=0)
# aspect_ratio = st.selectbox("Aspect Ratio", ["square", "portrait", "landscape"], index=0)
# high_res = st.checkbox("High Resolution", value=False)
# steps = st.slider("Steps", min_value=5, max_value=50, value=20)
# num_images = st.slider("Number of Images", min_value=1, max_value=1, value=1)
# # Store options in session state
# st.session_state.image_options = {
# "model": model,
# "aspect_ratio": aspect_ratio,
# "high_res": high_res,
# "steps": steps,
# "num_images": num_images
# }
# # Display area for generated images
# if st.session_state.generated_image_urls:
# st.subheader("Generated Images")
# # Create a grid for images (2 columns)
# cols = st.columns(2)
# for i, url in enumerate(st.session_state.generated_image_urls):
# col_index = i % 2
# with cols[col_index]:
# try:
# # Display image
# response = requests.get(url)
# if response.status_code == 200:
# img = Image.open(BytesIO(response.content))
# st.image(img, caption=f"Image {i+1}", use_container_width=True)
# # Add download button
# img_bytes = BytesIO()
# img.save(img_bytes, format="PNG")
# st.download_button(
# label="Download Image",
# data=img_bytes.getvalue(),
# file_name=f"ai_generated_{int(time.time())}_{i+1}.png",
# mime="image/png"
# )
# else:
# st.error(f"Could not load image {i+1}")
# except Exception as e:
# st.error(f"Error displaying image {i+1}: {str(e)}")
# # Log area
# if "image_log" in st.session_state and st.session_state.image_log:
# st.subheader("Generation Log")
# st.text_area("Log", value=st.session_state.image_log, height=200, disabled=True)
# def generate_images(self, prompt):
# """Generate images using StarryAI API"""
# try:
# # Initialize log in session state if not exists
# if "image_log" not in st.session_state:
# st.session_state.image_log = ""
# # Log function
# def log(message):
# st.session_state.image_log = f"{st.session_state.image_log}\n{message}"
# log(f"Starting image generation with prompt: '{prompt}'")
# # Get parameters from session state
# options = st.session_state.image_options
# model = options["model"]
# aspect_ratio = options["aspect_ratio"]
# high_res = options["high_res"]
# steps = options["steps"]
# num_images = options["num_images"]
# # API call parameters
# url = "https://api.starryai.com/creations/"
# payload = {
# "prompt": prompt,
# "model": model,
# "aspectRatio": aspect_ratio,
# "highResolution": high_res,
# "images": num_images,
# "steps": steps,
# "initialImageMode": "color"
# }
# headers = {
# "accept": "application/json",
# "content-type": "application/json",
# "X-API-Key": self.starry_api_key
# }
# # Make API request
# log("Sending request to StarryAI API...")
# response = requests.post(url, json=payload, headers=headers)
# log(f"Response status code: {response.status_code}")
# if response.status_code != 200:
# log(f"Error: API returned status code {response.status_code}")
# log(f"Response content: {response.text}")
# st.error(f"API Error: {response.text}")
# return
# # Parse response
# try:
# creation_data = response.json()
# creation_id = creation_data.get('id')
# log(f"Creation started with ID: {creation_id}")
# # Wait for creation to complete
# self.wait_for_creation(creation_id, log)
# except json.JSONDecodeError:
# log("Error: Could not parse JSON response")
# st.error("Could not parse API response")
# except Exception as e:
# if "image_log" in st.session_state:
# st.session_state.image_log += f"\nError during generation: {str(e)}"
# st.error(f"Error during image generation: {str(e)}")
# def wait_for_creation(self, creation_id, log_func, max_wait_time=300, check_interval=5):
# """Wait for an image creation to complete"""
# start_time = time.time()
# progress_bar = st.progress(0)
# while time.time() - start_time < max_wait_time:
# # Update progress bar (approximate)
# elapsed = time.time() - start_time
# progress = min(elapsed / max_wait_time, 0.95)
# progress_bar.progress(progress)
# log_func(f"Checking status of creation {creation_id}...")
# # Check status
# url = f"https://api.starryai.com/creations/{creation_id}"
# headers = {
# "accept": "application/json",
# "X-API-Key": self.starry_api_key
# }
# response = requests.get(url, headers=headers)
# if response.status_code != 200:
# log_func(f"Error checking status: API returned status code {response.status_code}")
# log_func(f"Response: {response.text}")
# st.error(f"Error checking status: {response.text}")
# return
# try:
# status_data = response.json()
# status = status_data.get("status")
# log_func(f"Current status: {status}")
# if status == "completed":
# # Process completed images
# progress_bar.progress(1.0)
# self.process_completed_images(status_data, log_func)
# return
# elif status == "failed":
# log_func("Creation failed")
# st.error("Image creation failed")
# return
# log_func(f"Waiting {check_interval} seconds before checking again...")
# time.sleep(check_interval)
# except json.JSONDecodeError:
# log_func("Error: Could not parse JSON response")
# st.error("Could not parse API response")
# return
# log_func(f"Timed out after {max_wait_time} seconds")
# st.error(f"Image generation timed out after {max_wait_time} seconds")
# def process_completed_images(self, completed_data, log_func):
# """Process completed images"""
# if "images" not in completed_data or not completed_data["images"]:
# log_func("No images found in completed data")
# st.error("No images were generated")
# return
# images = completed_data["images"]
# log_func(f"Found {len(images)} generated images")
# # Store image URLs in session state
# st.session_state.generated_image_urls = [img["url"] for img in images if img.get("url")]
# log_func(f"Image generation complete! {len(st.session_state.generated_image_urls)} images are ready.")
# # Success message
# st.success(f"Successfully generated {len(st.session_state.generated_image_urls)} images!")
# if __name__ == "__main__":
# app = CombinedAIApp()
import streamlit as st
import google.generativeai as genai
import requests
import time
import json
from PIL import Image
from io import BytesIO
import os
class CombinedAIApp:
def __init__(self):
# Set page config
st.set_page_config(
page_title="Generation Hub",
page_icon="🤖",
layout="wide",
initial_sidebar_state="expanded"
)
# Add title and description
st.title("Generation Hub")
st.markdown("Generate text with prompt")
# API keys hardcoded (not recommended for production)
self.gemini_api_key = "AIzaSyCzHa6m60yJ6-gd81SABHUrNpK6m3Nl4uY"
self.starry_api_key = "NW1VgLEailri7dwSb1QzceJAJcqyEA"
# Initialize session state for chat history
if "gemini_chat_history" not in st.session_state:
st.session_state.gemini_chat_history = []
st.session_state.gemini_initialized = False
st.session_state.generated_image_urls = []
# Create tabs
tab1, tab2 = st.tabs(["Text Generation", "Image Generation"])
# Build UI for each tab
with tab1:
self.build_text_generation_tab()
with tab2:
self.build_image_generation_tab()
def initialize_gemini(self):
"""Initialize Gemini API and chat"""
if not st.session_state.gemini_initialized and self.gemini_api_key:
try:
genai.configure(api_key=self.gemini_api_key)
st.session_state.gemini_model = genai.GenerativeModel('gemini-2.0-flash')
st.session_state.gemini_chat = st.session_state.gemini_model.start_chat(history=[])
st.session_state.gemini_initialized = True
# Add welcome message if no history
if not st.session_state.gemini_chat_history:
st.session_state.gemini_chat_history.append({
"role": "assistant",
"content": "Hello! How can I assist you today?"
})
return True
except Exception as e:
st.error(f"Error initializing Gemini API: {str(e)}")
return False
return st.session_state.gemini_initialized
def build_text_generation_tab(self):
"""Build the text generation tab UI"""
st.header("Text Generation")
# Chat container to display messages
chat_container = st.container()
# Display chat history
with chat_container:
for message in st.session_state.gemini_chat_history:
if message["role"] == "user":
st.chat_message("user").write(message["content"])
else:
st.chat_message("assistant").write(message["content"])
# Input for user message
user_message = st.chat_input("Type your message here...")
# Process user input
if user_message:
# Add user message to chat history
st.session_state.gemini_chat_history.append({
"role": "user",
"content": user_message
})
# Display user message
with chat_container:
st.chat_message("user").write(user_message)
# Initialize Gemini if needed
if self.initialize_gemini():
with st.spinner("Thinking..."):
try:
# Get response from Gemini
response = st.session_state.gemini_chat.send_message(user_message)
response_text = response.text
# Add AI response to chat history
st.session_state.gemini_chat_history.append({
"role": "assistant",
"content": response_text
})
# Display AI response
with chat_container:
st.chat_message("assistant").write(response_text)
except Exception as e:
error_message = f"An error occurred: {str(e)}"
st.error(error_message)
# Add error to chat history
st.session_state.gemini_chat_history.append({
"role": "assistant",
"content": error_message
})
# Clear chat button
if st.button("Clear Chat History", key="clear_chat"):
st.session_state.gemini_chat_history = []
if st.session_state.gemini_initialized:
st.session_state.gemini_chat = st.session_state.gemini_model.start_chat(history=[])
st.session_state.gemini_chat_history.append({
"role": "assistant",
"content": "Chat history cleared. How can I assist you?"
})
st.rerun()
def build_image_generation_tab(self):
"""Build the image generation tab UI"""
st.header("Image Generation")
# Create two columns for input and options
col1, col2 = st.columns([3, 2])
# Prompt input
with col1:
prompt = st.text_area("Enter your prompt:", height=100,
placeholder="Describe the image you want to generate in detail...")
# Advanced prompt features
st.subheader("Advanced Prompt Features")
with st.expander("Prompt Enhancement"):
enhance_prompt = st.checkbox("Enhance my prompt automatically", value=True)
enhancement_style = st.selectbox(
"Enhancement style",
["Detailed", "Artistic", "Photorealistic", "Minimalist"],
index=0
)
negative_prompt = st.text_area(
"Negative prompt (what to exclude):",
height=100,
placeholder="Elements you want to avoid in the image..."
)
if st.button("Generate Images", key="generate_image"):
if not prompt.strip():
st.error("Please enter a prompt")
elif not self.starry_api_key:
st.error("Please enter your StarryAI API key")
else:
# Process prompt if enhancement is enabled
if enhance_prompt:
processed_prompt = self.enhance_prompt(prompt, enhancement_style)
st.info(f"Enhanced prompt: {processed_prompt}")
else:
processed_prompt = prompt
# Clear previous images
st.session_state.generated_image_urls = []
# Start generation process
with st.spinner("Generating images..."):
self.generate_images(processed_prompt, negative_prompt)
# Options
with col2:
st.subheader("Image Options")
# Main options
model = st.selectbox("Model", ["lyra", "orion"], index=0,
help="Lyra is best for realistic images; Orion for creative/artistic ones")
# Force number of images to always be 1
# This line is hidden from the UI but ensures we always send 1 as the value
num_images = 1
aspect_ratio = st.selectbox(
"Aspect Ratio",
["square", "portrait", "landscape"],
index=0,
help="Square (1:1), Portrait (2:3), Landscape (3:2)"
)
# Advanced image settings
with st.expander("Advanced Settings"):
high_res = st.checkbox("High Resolution", value=True)
steps = st.slider("Steps", min_value=10, max_value=50, value=30,
help="More steps = more detail but takes longer")
guidance_scale = st.slider("Guidance Scale", min_value=1.0, max_value=20.0, value=7.5, step=0.5,
help="How closely to follow the prompt (higher = more faithful)")
seed = st.number_input("Seed (leave at -1 for random)",
min_value=-1, max_value=999999, value=-1,
help="Use same seed to get consistent results")
# Store options in session state
st.session_state.image_options = {
"model": model,
"aspect_ratio": aspect_ratio,
"high_res": high_res,
"steps": steps,
"num_images": num_images, # Always set to 1
"guidance_scale": guidance_scale,
"seed": seed
}
# Display usage information
with st.expander("Usage Information"):
st.info("""
**Tips for best results:**
- Be specific in your prompts
- Include details about style, lighting, composition
- Use the negative prompt to exclude unwanted elements
- Higher steps (30-50) produce more detailed images
""")
# Display area for generated images
if st.session_state.generated_image_urls:
st.subheader("Generated Image")
for i, url in enumerate(st.session_state.generated_image_urls):
try:
# Display image (centered)
response = requests.get(url)
if response.status_code == 200:
img = Image.open(BytesIO(response.content))
st.image(img, caption=f"Generated Image", use_container_width=True)
# Download button
img_bytes = BytesIO()
img.save(img_bytes, format="PNG")
st.download_button(
label="Download Image",
data=img_bytes.getvalue(),
file_name=f"ai_generated_{int(time.time())}.png",
mime="image/png"
)
else:
st.error(f"Could not load image")
except Exception as e:
st.error(f"Error displaying image: {str(e)}")
# Image history section
if "image_history" not in st.session_state:
st.session_state.image_history = []
if st.session_state.image_history:
with st.expander("Image Generation History"):
for i, entry in enumerate(reversed(st.session_state.image_history[-5:])): # Show last 5
st.markdown(f"**Prompt:** {entry['prompt']}")
st.image(entry['url'], width=200)
st.markdown("---")
# Log area (collapsible)
if "image_log" in st.session_state and st.session_state.image_log:
with st.expander("Generation Log", expanded=False):
st.text_area("Log", value=st.session_state.image_log, height=200, disabled=True)
def enhance_prompt(self, prompt, style):
"""Enhance the user's prompt based on the selected style"""
style_additions = {
"Detailed": "highly detailed, intricate, 8k resolution, crisp focus",
"Artistic": "artistic style, vibrant colors, expressive, painterly technique",
"Photorealistic": "photorealistic, professional photography, dramatic lighting, high resolution",
"Minimalist": "minimalist style, clean lines, simple composition, elegant"
}
# Add style enhancements to the prompt
enhanced_prompt = f"{prompt}, {style_additions.get(style, '')}"
return enhanced_prompt
def generate_images(self, prompt, negative_prompt=""):
"""Generate images using StarryAI API"""
try:
# Store the prompts for possible regeneration
st.session_state.last_prompt = prompt
st.session_state.last_negative_prompt = negative_prompt
# Initialize log in session state if not exists
if "image_log" not in st.session_state:
st.session_state.image_log = ""
# Log function
def log(message):
st.session_state.image_log = f"{st.session_state.image_log}\n{message}"
log(f"Starting image generation with prompt: '{prompt}'")
if negative_prompt:
log(f"Negative prompt: '{negative_prompt}'")
# Get parameters from session state
options = st.session_state.image_options
model = options["model"]
aspect_ratio = options["aspect_ratio"]
high_res = options["high_res"]
steps = options["steps"]
# Force number of images to always be 1, regardless of what's in options
num_images = 1
guidance_scale = options.get("guidance_scale", 7.5)
seed = options.get("seed", -1)
# API call parameters
url = "https://api.starryai.com/creations/"
payload = {
"prompt": prompt,
"model": model,
"aspectRatio": aspect_ratio,
"highResolution": high_res,
"images": num_images, # Always set to 1
"steps": steps,
"initialImageMode": "color",
"negativePrompt": negative_prompt if negative_prompt else "",
"guidanceScale": guidance_scale
}
# Add seed if provided with a value other than -1
if seed != -1:
payload["seed"] = seed
headers = {
"accept": "application/json",
"content-type": "application/json",
"X-API-Key": self.starry_api_key
}
# Make API request
log("Sending request to StarryAI API...")
log(f"API payload: {json.dumps(payload, indent=2)}")
response = requests.post(url, json=payload, headers=headers)
log(f"Response status code: {response.status_code}")
if response.status_code != 200:
log(f"Error: API returned status code {response.status_code}")
log(f"Response content: {response.text}")
st.error(f"API Error: {response.text}")
return
# Parse response
try:
creation_data = response.json()
creation_id = creation_data.get('id')
log(f"Creation started with ID: {creation_id}")
# Wait for creation to complete
self.wait_for_creation(creation_id, log)
except json.JSONDecodeError:
log("Error: Could not parse JSON response")
st.error("Could not parse API response")
except Exception as e:
if "image_log" in st.session_state:
st.session_state.image_log += f"\nError during generation: {str(e)}"
st.error(f"Error during image generation: {str(e)}")
def wait_for_creation(self, creation_id, log_func, max_wait_time=300, check_interval=5):
"""Wait for an image creation to complete"""
start_time = time.time()
progress_bar = st.progress(0)
status_text = st.empty()
while time.time() - start_time < max_wait_time:
# Update progress bar (approximate)
elapsed = time.time() - start_time
progress = min(elapsed / max_wait_time, 0.95)
progress_bar.progress(progress)
# Update status message
current_step = int(progress * 100)
status_message = f"Processing image... {current_step}%"
if current_step < 20:
status_message += " (Analyzing prompt)"
elif current_step < 50:
status_message += " (Generating initial composition)"
elif current_step < 80:
status_message += " (Adding details)"
else:
status_message += " (Finalizing image)"
status_text.text(status_message)
log_func(f"Checking status of creation {creation_id}...")
# Check status
url = f"https://api.starryai.com/creations/{creation_id}"
headers = {
"accept": "application/json",
"X-API-Key": self.starry_api_key
}
response = requests.get(url, headers=headers)
if response.status_code != 200:
log_func(f"Error checking status: API returned status code {response.status_code}")
log_func(f"Response: {response.text}")
st.error(f"Error checking status: {response.text}")
return
try:
status_data = response.json()
status = status_data.get("status")
log_func(f"Current status: {status}")
if status == "completed":
# Process completed images
progress_bar.progress(1.0)
status_text.text("Image generation complete!")
self.process_completed_images(status_data, log_func)
return
elif status == "failed":
log_func("Creation failed")
status_text.text("Image generation failed")
st.error("Image creation failed")
return
log_func(f"Waiting {check_interval} seconds before checking again...")
time.sleep(check_interval)
except json.JSONDecodeError:
log_func("Error: Could not parse JSON response")
st.error("Could not parse API response")
return
log_func(f"Timed out after {max_wait_time} seconds")
st.error(f"Image generation timed out after {max_wait_time} seconds")
def process_completed_images(self, completed_data, log_func):
"""Process completed images"""
if "images" not in completed_data or not completed_data["images"]:
log_func("No images found in completed data")
st.error("No images were generated")
return
images = completed_data["images"]
log_func(f"Found {len(images)} generated images")
# Store image URLs in session state
st.session_state.generated_image_urls = [img["url"] for img in images if img.get("url")]
log_func(f"Image generation complete! {len(st.session_state.generated_image_urls)} images are ready.")
# Add to image history
if len(st.session_state.generated_image_urls) > 0:
for url in st.session_state.generated_image_urls:
if "image_history" not in st.session_state:
st.session_state.image_history = []
st.session_state.image_history.append({
"prompt": st.session_state.last_prompt,
"url": url,
"timestamp": time.time()
})
# Success message
st.success(f"Successfully generated {len(st.session_state.generated_image_urls)} image!")
if __name__ == "__main__":
app = CombinedAIApp()
# import gradio as gr
# import google.generativeai as genai
# import requests
# import time
# import json
# from PIL import Image
# from io import BytesIO
# import os
# class CombinedAIGradioApp:
# def __init__(self):
# # API keys hardcoded (not recommended for production)
# self.gemini_api_key = "AIzaSyCzHa6m60yJ6-gd81SABHUrNpK6m3Nl4uY"
# self.starry_api_key = "NW1VgLEailri7dwSb1QzceJAJcqyEA"
# # Initialize Gemini
# self.initialize_gemini()
# # Create Gradio interface
# self.create_interface()
# def initialize_gemini(self):
# """Initialize Gemini API and chat"""
# try:
# if self.gemini_api_key:
# genai.configure(api_key=self.gemini_api_key)
# self.gemini_model = genai.GenerativeModel('gemini-2.0-flash')
# self.gemini_chat = self.gemini_model.start_chat(history=[])
# return True
# except Exception as e:
# print(f"Error initializing Gemini API: {str(e)}")
# return False
# def create_interface(self):
# """Create Gradio interface with tabs for text and image generation"""
# # Text Generation Tab Components
# with gr.Blocks() as text_gen:
# gr.Markdown("# Text Generation")
# # Fixed: Removed 'bubble' parameter and added 'type' parameter
# chatbot = gr.Chatbot(
# label="Chat History",
# height=500,
# type="messages", # Added this parameter
# avatar_images=(None, "https://img.icons8.com/color/96/000000/bot.png")
# )
# with gr.Row():
# msg = gr.Textbox(
# label="Type your message",
# placeholder="Ask me anything...",
# scale=9
# )
# clear_btn = gr.Button("Clear Chat", scale=1)
# # Set up event handlers for text generation
# msg.submit(self.text_generation, inputs=[msg, chatbot], outputs=[msg, chatbot])
# clear_btn.click(self.clear_chat, outputs=[chatbot])
# # Image Generation Tab Components
# with gr.Blocks() as image_gen:
# gr.Markdown("# Image Generation")
# with gr.Row():
# with gr.Column(scale=3):
# prompt = gr.Textbox(
# label="Enter your prompt",
# placeholder="Describe the image you want to generate in detail...",
# lines=5
# )
# with gr.Accordion("Advanced Prompt Features", open=False):
# enhance_prompt = gr.Checkbox(label="Enhance my prompt automatically", value=True)
# enhancement_style = gr.Dropdown(
# label="Enhancement style",
# choices=["Detailed", "Artistic", "Photorealistic", "Minimalist"],
# value="Detailed"
# )
# negative_prompt = gr.Textbox(
# label="Negative prompt (what to exclude)",
# placeholder="Elements you want to avoid in the image...",
# lines=3
# )
# gen_btn = gr.Button("Generate Image", variant="primary")
# with gr.Column(scale=2):
# gr.Markdown("### Image Options")
# model = gr.Dropdown(
# label="Model",
# choices=["lyra", "orion"],
# value="lyra",
# info="Lyra is best for realistic images; Orion for creative/artistic ones"
# )
# aspect_ratio = gr.Dropdown(
# label="Aspect Ratio",
# choices=["square", "portrait", "landscape"],
# value="square",
# info="Square (1:1), Portrait (2:3), Landscape (3:2)"
# )
# with gr.Accordion("Advanced Settings", open=False):
# high_res = gr.Checkbox(label="High Resolution", value=True)
# steps = gr.Slider(
# label="Steps",
# minimum=10,
# maximum=50,
# value=30,
# step=1,
# info="More steps = more detail but takes longer"
# )
# guidance_scale = gr.Slider(
# label="Guidance Scale",
# minimum=1.0,
# maximum=20.0,
# value=7.5,
# step=0.5,
# info="How closely to follow the prompt (higher = more faithful)"
# )
# seed = gr.Number(
# label="Seed (leave at -1 for random)",
# value=-1,
# minimum=-1,
# info="Use same seed to get consistent results"
# )
# with gr.Row():
# with gr.Column():
# output_image = gr.Image(label="Generated Image", type="pil")
# status = gr.Markdown("Status: Ready")
# log_output = gr.Textbox(label="Generation Log", lines=5, visible=False)
# # Set up event handler for image generation
# gen_btn.click(
# self.image_generation,
# inputs=[
# prompt, enhance_prompt, enhancement_style, negative_prompt,
# model, aspect_ratio, high_res, steps, guidance_scale, seed
# ],
# outputs=[output_image, status, log_output]
# )
# # Create the tabbed interface
# demo = gr.TabbedInterface(
# [text_gen, image_gen],
# ["Text Generation", "Image Generation"],
# title="Generation Hub",
# css="""
# .gr-header-text {
# text-align: center;
# font-size: 24px;
# font-weight: bold;
# }
# """
# )
# # Fixed: Added queue parameter to fix async context manager issue
# demo.queue() # Initialize the queue before launching
# # Launch the app
# demo.launch()
# def text_generation(self, message, history):
# """Handle text generation requests"""
# # Validate input
# if not message or message.strip() == "":
# return message, history
# # Update message format to match 'messages' type
# try:
# # Generate response with Gemini
# response = self.gemini_chat.send_message(message)
# response_text = response.text
# # For 'messages' type chatbot, return in the format required
# history_msgs = history + [{"role": "user", "content": message},
# {"role": "assistant", "content": response_text}]
# return "", history_msgs
# except Exception as e:
# error_message = f"An error occurred: {str(e)}"
# history_msgs = history + [{"role": "user", "content": message},
# {"role": "assistant", "content": error_message}]
# return "", history_msgs
# def clear_chat(self):
# """Clear chat history"""
# # Reset Gemini chat
# if hasattr(self, 'gemini_model'):
# self.gemini_chat = self.gemini_model.start_chat(history=[])
# # Return empty chat history
# return []
# def enhance_prompt(self, prompt, style):
# """Enhance the user's prompt based on the selected style"""
# style_additions = {
# "Detailed": "highly detailed, intricate, 8k resolution, crisp focus",
# "Artistic": "artistic style, vibrant colors, expressive, painterly technique",
# "Photorealistic": "photorealistic, professional photography, dramatic lighting, high resolution",
# "Minimalist": "minimalist style, clean lines, simple composition, elegant"
# }
# # Add style enhancements to the prompt
# enhanced_prompt = f"{prompt}, {style_additions.get(style, '')}"
# return enhanced_prompt
# def image_generation(self, prompt, enhance_prompt, enhancement_style, negative_prompt,
# model, aspect_ratio, high_res, steps, guidance_scale, seed):
# """Generate images using StarryAI API"""
# # Initialize log messages
# log_messages = []
# def log(message):
# log_messages.append(message)
# return "\n".join(log_messages)
# # Check inputs
# if not prompt or prompt.strip() == "":
# return None, "Status: Error - Please enter a prompt", log("Error: Empty prompt")
# if not self.starry_api_key:
# return None, "Status: Error - API key not configured", log("Error: Missing API key")
# try:
# # Process prompt if enhancement is enabled
# if enhance_prompt:
# processed_prompt = self.enhance_prompt(prompt, enhancement_style)
# log(f"Enhanced prompt: {processed_prompt}")
# else:
# processed_prompt = prompt
# log(f"Starting image generation with prompt: '{processed_prompt}'")
# if negative_prompt:
# log(f"Negative prompt: '{negative_prompt}'")
# # API call parameters
# url = "https://api.starryai.com/creations/"
# payload = {
# "prompt": processed_prompt,
# "model": model,
# "aspectRatio": aspect_ratio,
# "highResolution": high_res,
# "images": 1, # Always generate 1 image
# "steps": steps,
# "initialImageMode": "color",
# "negativePrompt": negative_prompt if negative_prompt else "",
# "guidanceScale": guidance_scale
# }
# # Add seed if provided with a value other than -1
# if seed != -1:
# payload["seed"] = seed
# headers = {
# "accept": "application/json",
# "content-type": "application/json",
# "X-API-Key": self.starry_api_key
# }
# # Make API request
# log("Sending request to StarryAI API...")
# status_message = "Status: Sending request to API..."
# yield None, status_message, log("")
# response = requests.post(url, json=payload, headers=headers)
# log(f"Response status code: {response.status_code}")
# if response.status_code != 200:
# log(f"Error: API returned status code {response.status_code}")
# log(f"Response content: {response.text}")
# return None, f"Status: Error - API returned {response.status_code}", "\n".join(log_messages)
# # Parse response
# creation_data = response.json()
# creation_id = creation_data.get('id')
# log(f"Creation started with ID: {creation_id}")
# # Wait for creation to complete
# status_message = "Status: Processing image..."
# yield None, status_message, "\n".join(log_messages)
# # Polling for image completion
# max_wait_time = 300 # 5 minutes
# check_interval = 5 # 5 seconds
# start_time = time.time()
# while time.time() - start_time < max_wait_time:
# # Update status message
# elapsed = time.time() - start_time
# current_step = int((elapsed / max_wait_time) * 100)
# status_text = f"Status: Processing image... {min(current_step, 99)}%"
# if current_step < 20:
# status_text += " (Analyzing prompt)"
# elif current_step < 50:
# status_text += " (Generating initial composition)"
# elif current_step < 80:
# status_text += " (Adding details)"
# else:
# status_text += " (Finalizing image)"
# yield None, status_text, "\n".join(log_messages)
# # Check status
# log(f"Checking status of creation {creation_id}...")
# status_url = f"https://api.starryai.com/creations/{creation_id}"
# status_response = requests.get(status_url, headers=headers)
# if status_response.status_code != 200:
# log(f"Error checking status: API returned status code {status_response.status_code}")
# return None, "Status: Error checking image status", "\n".join(log_messages)
# status_data = status_response.json()
# status = status_data.get("status")
# log(f"Current status: {status}")
# if status == "completed":
# # Process completed images
# log("Image generation complete!")
# if "images" not in status_data or not status_data["images"]:
# log("No images found in completed data")
# return None, "Status: Error - No images were generated", "\n".join(log_messages)
# images = status_data["images"]
# image_url = images[0].get("url") if images else None
# if not image_url:
# log("No image URL found")
# return None, "Status: Error - No image URL found", "\n".join(log_messages)
# # Get the image
# log(f"Downloading image from {image_url}")
# img_response = requests.get(image_url)
# if img_response.status_code != 200:
# log("Failed to download image")
# return None, "Status: Error downloading the generated image", "\n".join(log_messages)
# # Create PIL image
# image = Image.open(BytesIO(img_response.content))
# return image, "Status: Image generation successful!", "\n".join(log_messages)
# elif status == "failed":
# log("Creation failed")
# return None, "Status: Image generation failed", "\n".join(log_messages)
# # Wait before checking again
# time.sleep(check_interval)
# # Timeout
# log(f"Timed out after {max_wait_time} seconds")
# return None, f"Status: Timed out after {max_wait_time} seconds", "\n".join(log_messages)
# except Exception as e:
# error_message = f"Error during image generation: {str(e)}"
# log(error_message)
# return None, f"Status: {error_message}", "\n".join(log_messages)
# if __name__ == "__main__":
# app = CombinedAIGradioApp() |