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.gitignore

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+test.py
+.vscode
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

.vscode/settings.json

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+{
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter"
+    },
+    "python.formatting.provider": "none"
+}

README.md

@@ -1,12 +1,8 @@
 ---
-title: Chatbot
-emoji: 🐨
-colorFrom: red
-colorTo: gray
+title: chatbot
+app_file: .\app.py
 sdk: gradio
 sdk_version: 3.40.1
-app_file: app.py
-pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# discord_bot

app.py

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+import gradio as gr
+
+
+def slow_echo(message, history):
+    return message
+
+
+demo = gr.ChatInterface(slow_echo).queue().launch()

main.py

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+import os
+import discord
+from discord.ext import commands
+from src.chatbot import Chatbot
+from src.imagebot import Imagebot
+
+
+intents = discord.Intents.default()
+bot = commands.Bot(command_prefix="/", intents=intents)
+chatbot = Chatbot(os.environ["poe_api_token"])
+imagebot = Imagebot(os.environ["replicate_api_token"])
+
+
+@bot.event
+async def on_ready():
+    print(f"Logged in as {bot.user} (ID: {bot.user.id})")
+
+
+@bot.command(name="q")
+async def q(ctx, *query):
+    query = " ".join(query)
+    await ctx.send(f"{chatbot.query_from_api(query=query)}")
+
+
+@bot.command(name="gen")
+async def gen(ctx, *query):
+    query = " ".join(query)
+    await ctx.send(imagebot.generate_image(query=query))
+
+
+@bot.command(name="python")
+async def python(ctx, *query):
+    query = " ".join(query)
+    await ctx.send(f"{exec(query)}")
+
+
+bot.run(os.environ["discord_token"])

requirements.txt

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+urllib3==1.26.5
+poe-api
+discord.py
+replicate

src/chatbot.py

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+import poe
+import logging
+
+
+class Chatbot:
+    def __init__(self, token, bot_name: str = "chinchilla"):
+        self.bot_name = bot_name
+        try:
+            poe.logger.setLevel(logging.INFO)
+            self.client = poe.Client(token)
+
+        except Exception as e:
+            print(e)
+
+    def query_from_api(self, query):
+        response = ""
+        for chunk in self.client.send_message(self.bot_name, query, with_chat_break=True):
+            word = chunk["text_new"]
+            response += word
+
+        return response

src/imagebot.py

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+import replicate
+
+
+class Imagebot:
+    def __init__(self, token) -> None:
+        self.api = replicate.Client(api_token=token)
+        self.model = self.api.models.get("stability-ai/stable-diffusion")
+        self.version = self.model.versions.get("db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf")
+
+    def generate_image(self, query):
+        output_url = self.version.predict(prompt=query)[0]
+        return output_url

src/trainingbot.py

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+import discord
+import asyncio
+
+
+class Trainingbot:
+    def __init__(self, token, channel_id) -> None:
+        self.token = token
+        self.channel_id = channel_id
+        self.loss_dict = {"train": [], "eval": []}
+
+        intents = discord.Intents.default()
+        self.client = discord.Client(intents=intents)
+        self.channel = self.client.get_channel(channel_id)
+
+    def append_loss(self, train_loss, eval_loss=None):
+        self.loss_dict.append(train_loss)
+        if eval_loss:
+            self.loss_dict.append(eval_loss)
+
+    async def log_loss(self):
+        if len(self.loss_dict["eval"]) > 0:
+            await self.channel.send(f"Train loss: {self.loss_dict['train'][-1]} \n Eval loss: {self.loss_dict['eval'][-1]}")
+        else:
+            await self.channel.send(f"Train loss: {self.loss_dict['train'][-1]}")
+
+if __name__ == '__main__':
+    

test.py

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+import discord
+import asyncio
+
+# Set up the Discord client and log in with the bot token
+client = discord.Client()
+TOKEN = "your_bot_token_here"
+channel_id = "your_channel_id_here"
+
+
+# Function to send a message to a specific channel in your Discord server
+async def send_message(message):
+    channel = client.get_channel(channel_id)
+    await channel.send(message)
+
+
+# Your training loop
+for epoch in range(num_epochs):
+    # Train your model and calculate the training loss
+
+    # After every a number of epochs, send the training loss to Discord
+    if epoch % num_epochs_to_log == 0:
+        message = f"Epoch {epoch}: training loss = {training_loss}"
+        asyncio.run(send_message(message))