Create app.py

app.py

@@ -0,0 +1,105 @@
+import asyncio
+import glob
+import os
+import random
+import os
+import random
+import threading
+from discord import app_commands
+from discord.ext import commands
+import discord
+import gradio as gr
+import discord
+from gradio_client import Client
+
+
+HF_TOKEN = os.getenv("HF_TOKEN")
+wuerstchen_client = Client("huggingface-projects/Wuerstchen-duplicate", HF_TOKEN)
+DISCORD_TOKEN = os.getenv("DISCORD_TOKEN")
+
+#---------------------------------------------------------------------------------------------------------------------
+intents = discord.Intents.all()
+bot = commands.Bot(command_prefix="/", intents=intents)
+#---------------------------------------------------------------------------------------------------------------------
+@bot.event
+async def on_ready():
+    print(f"Logged in as {bot.user} (ID: {bot.user.id})")
+    synced = await bot.tree.sync()
+    print(f"Synced commands: {', '.join([s.name for s in synced])}.")
+    print("------")
+#---------------------------------------------------------------------------------------------------------------------
+@client.hybrid_command(
+    name="wuerstchen",
+    description="Enter a prompt to generate art!",
+)
+@app_commands.guilds(MY_GUILD)
+async def wuerstchen_command(ctx, prompt: str):
+    """Wuerstchen generation"""
+    try:
+        await run_wuerstchen(ctx, prompt, client)
+    except Exception as e:
+        print(f"Error wuerstchen: (app.py){e}")
+
+
+def wuerstchen_inference(prompt):
+    """Inference for Wuerstchen"""
+    negative_prompt = ""
+    seed = random.randint(0, 1000)
+    width = 1024
+    height = 1024
+    prior_num_inference_steps = 60
+    prior_guidance_scale = 4
+    decoder_num_inference_steps = 12
+    decoder_guidance_scale = 0
+    num_images_per_prompt = 1
+
+    result_path = wuerstchen_client.predict(
+        prompt,
+        negative_prompt,
+        seed,
+        width,
+        height,
+        prior_num_inference_steps,
+        prior_guidance_scale,
+        decoder_num_inference_steps,
+        decoder_guidance_scale,
+        num_images_per_prompt,
+        api_name="/run",
+    )
+    png_file = list(glob.glob(f"{result_path}/**/*.png"))
+    return png_file[0]
+
+
+async def run_wuerstchen(ctx, prompt, client):
+    """Responds to /Wuerstchen command"""
+    try:
+        if ctx.author.id != BOT_USER_ID:
+            if ctx.channel.id == WUERSTCHEN_CHANNEL_ID:
+                channel = client.get_channel(WUERSTCHEN_CHANNEL_ID)
+                message = await ctx.send(f"**{prompt}** - {ctx.author.mention} <a:loading:1114111677990981692>")
+
+                loop = asyncio.get_running_loop()
+                result_path = await loop.run_in_executor(None, wuerstchen_inference, prompt)
+
+                await message.delete()
+                with open(result_path, "rb") as f:
+                    await channel.send(f"**{prompt}** - {ctx.author.mention}", file=discord.File(f, "wuerstchen.png"))
+    except Exception as e:
+        print(f"Error: {e}")
+
+
+def run_bot():
+    bot.run(DISCORD_TOKEN)
+
+
+threading.Thread(target=run_bot).start()
+"""This allows us to run the Discord bot in a Python thread"""
+with gr.Blocks() as demo:
+    gr.Markdown("""
+    # Huggingbots Server
+    This space hosts the huggingbots discord bot.
+    Currently supported models are Falcon and DeepfloydIF
+    """)
+demo.queue(concurrency_count=100)
+demo.queue(max_size=100)
+demo.launch()