working single login

.gitignore

@@ -0,0 +1,166 @@
+# Custom
+bot.conf
+.store
+images/
+runpod-test*
+
+# 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/

Pipfile

@@ -0,0 +1,18 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[packages]
+matrix-nio = "*"
+transformers = "*"
+huggingface-hub = "*"
+asyncio = "*"
+python-magic = "*"
+pillow = "*"
+argostranslate = "*"
+
+[dev-packages]
+
+[requires]
+python_version = "3.11"

README.md

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+# matrix-pygmalion-bot
+
+## Setup
+```sh
+# install dependencies
+pipenv install --dev
+
+pipenv shell
+python3 run.py
+```
+
+## Other
+```sh
+python3 -m venv env
+source env/bin/activate
+pip install -r requirements.txt
+```

matrix_pygmalion_bot/ai/llama_cpp.py

@@ -0,0 +1,118 @@
+# https://github.com/nsarrazin/serge/blob/main/api/utils/generate.py
+
+import subprocess, os
+import asyncio
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+async def generate(
+    prompt: str,
+):
+    CHUNK_SIZE = 4
+
+    args = (
+        "/home/hendrik/Projects/AI/alpaca.cpp/chat",
+        "--model",
+        "/home/hendrik/Projects/AI/alpaca.cpp/" + "ggml-alpaca-7b-q4.bin",
+        "--prompt",
+        prompt,
+        "--n_predict",
+        str(256),
+        "--temp",
+        str(0.1),
+        "--top_k",
+        str(50),
+        "--top_p",
+        str(0.95),
+        "--repeat_last_n",
+        str(64),
+        "--repeat_penalty",
+        str(1.3),
+        "--ctx_size",
+        str(512),
+        "--threads",
+        str(4)
+    )
+
+    logger.debug(f"Calling LLaMa with arguments", args)
+    print(prompt)
+    procLlama = await asyncio.create_subprocess_exec(
+        *args, stdout=subprocess.PIPE, stderr=subprocess.PIPE
+    )
+    
+    while True:
+        chunk = await procLlama.stdout.read(CHUNK_SIZE)
+
+        if not chunk:
+            return_code = await procLlama.wait()
+
+            if return_code != 0:
+                error_output = await procLlama.stderr.read()
+                logger.error(error_output.decode("utf-8"))
+                raise ValueError(f"RETURN CODE {return_code}\n\n"+error_output.decode("utf-8"))
+            else:
+                return
+
+        try:
+            chunk = chunk.decode("utf-8")
+        except UnicodeDecodeError:
+            return
+
+        yield chunk
+
+
+async def get_full_prompt(simple_prompt: str, chat_history=None):
+
+    prompt = "Below is an instruction that describes a task. Write a response that appropriately completes the request." + "\n\n"
+
+    HISTORY_LEN = 5
+    if chat_history:
+        for message in chat_history[-HISTORY_LEN:]:
+            if not message["is_own_message"]:
+                prompt += "### Instruction:\n" + message["message"] + "\n"
+            else:
+                prompt += "### Response:\n" + message["message"] + "\n"
+
+    prompt += "### Instruction:\n" + simple_prompt + "\n"
+    prompt += "### Response:\n"
+
+    return prompt
+
+
+async def get_full_prompt_with_input(simple_prompt: str, additional_input: str, chat_history=None):
+
+    prompt_with_input = "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request." + "\n\n"
+
+    HISTORY_LEN = 5
+    if chat_history:
+        for message in chat_history[-HISTORY_LEN:]:
+            if not message["is_own_message"]:
+                prompt += "### Instruction:\n" + message["message"] + "\n"
+            else:
+                prompt += "### Response:\n" + message["message"] + "\n"
+
+    prompt += "### Instruction:\n" + simple_prompt + "\n"
+    prompt += "### Input:\n" + additional_input + "\n"
+    prompt += "### Response:\n"
+
+    return prompt
+
+
+async def get_full_prompt_chat_style(simple_prompt: str, chat_history=None):
+
+    prompt = "Transcript of a dialog, where the User interacts with an Assistant named Julia. Julia is helpful, kind, honest, good at writing, and never fails to answer the User's requests immediately and with precision." + "\n\n"
+
+    HISTORY_LEN = 5
+    if chat_history:
+        for message in chat_history[-HISTORY_LEN:]:
+            if not message["is_own_message"]:
+                prompt += "User: " + message["message"] + "\n"
+            else:
+                prompt += "Julia: " + message["message"] + "\n"
+
+    prompt += "User: " + simple_prompt + "\n"
+    prompt += "Julia: "
+
+    return prompt

matrix_pygmalion_bot/ai/runpod_pygmalion.py

@@ -0,0 +1,228 @@
+import asyncio
+import os, tempfile
+import logging
+
+import requests
+
+from transformers import AutoTokenizer, AutoConfig
+from huggingface_hub import hf_hub_download
+
+logger = logging.getLogger(__name__)
+
+
+async def generate_sync(
+    prompt: str,
+    api_key: str,
+):
+    # Set the API endpoint URL
+    endpoint = "https://api.runpod.ai/v2/pygmalion-6b/runsync"
+
+    # Set the headers for the request
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {api_key}"
+    }
+
+    max_new_tokens = 200
+    prompt_num_tokens = await num_tokens(prompt)
+
+    # Define your inputs
+    input_data = {
+        "input": {
+            "prompt": prompt,
+            "max_length": max(prompt_num_tokens+max_new_tokens, 2048),
+            "temperature": 0.75
+        }
+    }
+
+    logger.info(f"sending request to runpod.io")
+
+    # Make the request
+    r = requests.post(endpoint, json=input_data, headers=headers, timeout=180)
+
+    r_json = r.json()
+    logger.info(r_json)
+    status = r_json["status"]
+
+    if status == 'COMPLETED':
+        text = r_json["output"]
+        answer = text.removeprefix(prompt)
+#        lines = reply.split('\n')
+#        reply = lines[0].strip()
+        idx = answer.find(f"\nYou:")
+        if idx != -1:
+            reply = answer[:idx].strip()
+        else:
+            reply = answer.removesuffix('<|endoftext|>').strip()
+        return reply
+    elif status == 'IN_PROGRESS' or status == 'IN_QUEUE':
+        job_id = r_json["id"]
+        TIMEOUT = 180
+        DELAY = 5
+        for i in range(TIMEOUT//DELAY):
+            endpoint = "https://api.runpod.ai/v2/pygmalion-6b/status/" + job_id
+            r = requests.get(endpoint, headers=headers)
+            r_json = r.json()
+            logger.info(r_json)
+            status = r_json["status"]
+            if status == 'IN_PROGRESS':
+                await asyncio.sleep(DELAY)
+            elif status == 'IN_QUEUE':
+                await asyncio.sleep(DELAY)
+            elif status == 'COMPLETED':
+                text = r_json["output"]
+                answer = text.removeprefix(prompt)
+#                lines = reply.split('\n')
+#                reply = lines[0].strip()
+                idx = answer.find(f"\nYou:")
+                if idx != -1:
+                    reply = answer[:idx].strip()
+                else:
+                    reply = answer.removesuffix('<|endoftext|>').strip()
+                return reply
+            else:
+                return "<ERROR>"
+    else:
+        return "<ERROR>"
+
+async def get_full_prompt(simple_prompt: str, bot):
+
+    # Prompt without history
+    prompt = bot.name + "'s Persona: " + bot.persona + "\n"
+    prompt += "Scenario: " + bot.scenario + "\n"
+    prompt += "<START>" + "\n"
+    #prompt += bot.name + ": " + bot.greeting + "\n"
+    prompt += "You: " + simple_prompt + "\n"
+    prompt += bot.name + ":"
+
+    MAX_TOKENS = 2048
+    max_new_tokens = 200
+    total_num_tokens = await num_tokens(prompt)
+    visible_history = []
+    current_message = True
+    for key, chat_item in reversed(bot.chat_history.items()):
+        if current_message:
+            current_message = False
+            continue
+        if chat_item.message.startswith('!begin'):
+            break
+        if chat_item.message.startswith('!'):
+            continue
+        #if chat_item.message == bot.greeting:
+        #    continue
+        print("History: " + str(chat_item))
+        if chat_item.num_tokens == None:
+            chat_item.num_tokens = await num_tokens(chat_item.getLine())
+        # TODO: is it MAX_TOKENS or MAX_TOKENS - max_new_tokens??
+        if total_num_tokens < (MAX_TOKENS - max_new_tokens):
+            visible_history.append(chat_item)
+            total_num_tokens += chat_item.num_tokens
+            print(total_num_tokens)
+    print("Finally: "+ str(total_num_tokens))
+    visible_history = reversed(visible_history)
+
+    prompt = bot.name + "'s Persona: " + bot.persona + "\n"
+    prompt += "Scenario: " + bot.scenario + "\n"
+    prompt += "<START>" + "\n"
+    #prompt += bot.name + ": " + bot.greeting + "\n"
+    for chat_item in visible_history:
+        if chat_item.is_own_message:
+            prompt += bot.name + ": " + chat_item.message + "\n"
+        else:
+            prompt += "You" + ": " + chat_item.message + "\n"
+    prompt += "You: " + simple_prompt + "\n"
+    prompt += bot.name + ":"
+
+    return prompt
+
+
+async def num_tokens(input_text: str):
+#    os.makedirs("./models/pygmalion-6b", exist_ok=True)
+#    hf_hub_download(repo_id="PygmalionAI/pygmalion-6b", filename="config.json", cache_dir="./models/pygmalion-6b")
+#    config = AutoConfig.from_pretrained("./models/pygmalion-6b/config.json")
+    tokenizer = AutoTokenizer.from_pretrained("PygmalionAI/pygmalion-6b")
+    encoding = tokenizer.encode(input_text, add_special_tokens=False)
+    max_input_size = tokenizer.max_model_input_sizes
+    return len(encoding)
+
+async def estimate_num_tokens(input_text: str):
+    return len(input_text)//4+1
+
+
+async def generate_image(input_prompt: str, negative_prompt: str, api_key: str):
+
+    # Set the API endpoint URL
+    endpoint = "https://api.runpod.ai/v1/sd-anything-v4/run"
+
+    # Set the headers for the request
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {api_key}"
+    }
+
+    # Define your inputs
+    input_data = {
+        "input": {
+            "prompt": input_prompt,
+            "negative_prompt": negative_prompt,
+            "width": 512,
+            "height": 768,
+            "nsfw": True
+        }
+    }
+
+    logger.info(f"sending request to runpod.io")
+
+    # Make the request
+    r = requests.post(endpoint, json=input_data, headers=headers)
+    r_json = r.json()
+    logger.info(r_json)
+
+    if r.status_code == 200:
+        status = r_json["status"]
+        if status != 'IN_QUEUE':
+            raise ValueError(f"RETURN CODE {status}")
+        job_id = r_json["id"]
+        TIMEOUT = 180
+        DELAY = 5
+        for i in range(TIMEOUT//DELAY):
+            endpoint = "https://api.runpod.ai/v1/sd-anything-v4/status/" + job_id
+            r = requests.get(endpoint, headers=headers)
+            r_json = r.json()
+            logger.info(r_json)
+            status = r_json["status"]
+            if status == 'IN_PROGRESS':
+                await asyncio.sleep(DELAY)
+            elif status == 'IN_QUEUE':
+                await asyncio.sleep(DELAY)
+            elif status == 'COMPLETED':
+                output = r_json["output"]
+                break
+            else:
+                raise ValueError(f"RETURN CODE {status}")
+
+        os.makedirs("./images", exist_ok=True)
+        files = []
+        for image in output:
+            temp_name = next(tempfile._get_candidate_names())
+            filename = "./images/" + temp_name + ".jpg"
+            await download_image(image["image"], filename)
+            files.append(filename)
+
+        return files
+
+async def download_image(url, path):
+    r = requests.get(url, stream=True)
+    if r.status_code == 200:
+        with open(path, 'wb') as f:
+            for chunk in r:
+                f.write(chunk)
+
+
+
+
+
+
+
+
+

matrix_pygmalion_bot/core.py

@@ -0,0 +1,284 @@
+import asyncio
+import nio
+from nio import (AsyncClient, AsyncClientConfig, MatrixRoom, RoomMessageText, InviteEvent, UploadResponse)
+
+import os, sys
+import importlib
+import configparser
+import logging
+
+import aiofiles.os
+import magic
+from PIL import Image
+
+from .helpers import ChatItem
+ai = importlib.import_module("matrix_pygmalion_bot.ai.runpod_pygmalion")
+#from .llama_cpp import generate, get_full_prompt, get_full_prompt_chat_style
+#from .runpod_pygmalion import generate_sync, get_full_prompt
+import matrix_pygmalion_bot.translate as translate
+
+STORE_PATH = "./.store/"
+
+
+logger = logging.getLogger(__name__)
+config = configparser.ConfigParser()
+bots = []
+
+class Callbacks(object):
+    """Class to pass client to callback methods."""
+
+    def __init__(self, client: AsyncClient, bot):
+        self.client = client
+        self.bot = bot
+
+    async def message_cb(self, room: MatrixRoom, event: RoomMessageText) -> None:
+        message = event.body
+        is_own_message = False
+        if event.sender == self.client.user:
+            is_own_message = True
+        is_command = False
+        if event.body.startswith('!'):
+            is_command = True
+        relates_to = None
+        if 'm.relates_to' in event.source["content"]:
+            relates_to = event.source["content"]['m.relates_to']["event_id"]
+        translated_message = message
+        if not (self.bot.translate is None) and not is_command:
+            if 'original_message' in event.source["content"]:
+                translated_message = event.source["content"]['original_message']
+            else:
+                translated_message = translate.translate(message, self.bot.translate, "en")
+        if hasattr(event, 'body'):
+            self.bot.chat_history[event.event_id] = ChatItem(event.event_id, event.server_timestamp, room.user_name(event.sender), is_own_message, relates_to, translated_message)
+        if self.bot.not_synced:
+            return
+        print(
+            "Message received for room {} | {}: {}".format(
+                room.display_name, room.user_name(event.sender), event.body
+            )
+        )
+        await self.client.room_read_markers(room.room_id, event.event_id, event.event_id)
+        # Ignore messages from ourselves
+        if is_own_message:
+            return
+
+        if hasattr(event, 'body') and event.body.startswith('!replybot'):
+            print(event)
+            await self.bot.send_message(self.client, room.room_id, "Hello World!")
+            return
+        elif hasattr(event, 'body') and event.body.startswith('!image'):
+            prompt = event.body.removeprefix('!image').strip()
+            negative_prompt = "out of frame, (ugly:1.3), (fused fingers), (too many fingers), (bad anatomy:1.5), (watermark:1.5), (words), letters, untracked eyes, asymmetric eyes, floating head, (logo:1.5), (bad hands:1.3), (mangled hands:1.2), (missing hands), (missing arms), backward hands, floating jewelry, unattached jewelry, floating head, doubled head, unattached head, doubled head, head in body, (misshapen body:1.1), (badly fitted headwear:1.2), floating arms, (too many arms:1.5), limbs fused with body, (facial blemish:1.5), badly fitted clothes, imperfect eyes, untracked eyes, crossed eyes, hair growing from clothes, partial faces, hair not attached to head"
+            if len(prompt) == 0:
+                prompt = "a beautiful woman"
+            output = await ai.generate_image(prompt, negative_prompt, self.bot.runpod_api_key)
+            for imagefile in output:
+                await self.bot.send_image(self.client, room.room_id, imagefile)
+            return
+        elif hasattr(event, 'body') and event.body.startswith('!begin'):
+            self.bot.chat_history = {}
+            await self.bot.send_message(self.client, room.room_id, self.bot.greeting)
+            return
+        elif event.body.startswith('!!!'):
+            return
+#            chat_history_event_id, chat_history_item = self.bot.chat_history.popitem() # current
+#            await self.client.room_redact(room.room_id, chat_history_item.event_id, reason="user-request")
+#            chat_history_event_id, chat_history_item = self.bot.chat_history.popitem()
+#            await self.client.room_redact(room.room_id, chat_history_item.event_id, reason="user-request")
+#            chat_history_event_id, chat_history_item = self.bot.chat_history.popitem()
+#            await self.client.room_redact(room.room_id, chat_history_item.event_id, reason="user-request")
+#            return
+        elif event.body.startswith('!!'):
+            return
+#            chat_history_event_id, chat_history_item = self.bot.chat_history.popitem() # current
+#            await self.client.room_redact(room.room_id, chat_history_item.event_id, reason="user-request")
+#            chat_history_event_id, chat_history_item = self.bot.chat_history.popitem()
+#            await self.client.room_redact(room.room_id, chat_history_item.event_id, reason="user-request")
+#            chat_history_event_id, chat_history_item = self.bot.chat_history.popitem() # new current
+#            self.bot.chat_history[chat_history_event_id] = chat_history_item
+#            message = chat_history_item.message
+#            # don't return, we generate a new answer
+
+        full_prompt = await ai.get_full_prompt(translated_message, self.bot)
+        num_tokens = await ai.num_tokens(full_prompt)
+        logger.info(full_prompt)
+        logger.info(f"num tokens:" + str(num_tokens))
+#        answer = ""
+#        time = 0
+#        error = None
+#        try:
+#            async for output in generate(full_prompt):
+#                await asyncio.sleep(0.1)
+#                answer += output
+#                if time % 5 == 0:
+#                     await self.client.room_typing(room.room_id, True, 15000)
+#                time +=1
+#                print(output, end='', flush=True)
+#        except Exception as e:
+#            error = e.__str__()
+#        answer = answer.strip()
+#        print("")
+        await self.client.room_typing(room.room_id, True, 15000)
+        answer = await ai.generate_sync(full_prompt, self.bot.runpod_api_key)
+        answer = answer.strip()
+        await self.client.room_typing(room.room_id, False)
+        translated_answer = answer
+        if not (self.bot.translate is None):
+            translated_answer = translate.translate(answer, "en", self.bot.translate)
+            await self.bot.send_message(self.client, room.room_id, translated_answer, reply_to=event.event_id, original_message=answer)
+        else:
+            await self.bot.send_message(self.client, room.room_id, answer, reply_to=event.event_id)
+        
+
+
+    async def invite_cb(self, room: MatrixRoom, event: InviteEvent) -> None:
+        """Automatically join all rooms we get invited to"""
+        result = await self.client.join(room.room_id)
+        print('Invited to room: {} {}'.format(room.name, room.room_id))
+        if isinstance(result, nio.responses.JoinResponse):
+            print('Joined')
+        else:
+            print("Error joining room: {}".format(str(result)))
+
+class ChatBot(object):
+    """Main chatbot"""
+
+    def __init__(self, homeserver, user_id, password):
+        self.homeserver = homeserver
+        self.user_id = user_id
+        self.password = password
+
+        self.runpod_api_key = None
+
+        self.client = None
+        self.callbacks = None
+        self.config = None
+        self.not_synced = True
+
+        self.owner = None
+        self.translate = None
+
+        self.name = None
+        self.persona = None
+        self.scenario = None
+        self.greeting = None
+        self.chat_history = {}
+
+        if STORE_PATH and not os.path.isdir(STORE_PATH):
+            os.mkdir(STORE_PATH)
+
+    def character_init(self, name, persona, scenario, greeting):
+        self.name = name
+        self.persona = persona
+        self.scenario = scenario
+        self.greeting = greeting
+
+    async def login(self):
+        self.config = AsyncClientConfig(store_sync_tokens=True)
+        self.client = AsyncClient(self.homeserver, self.user_id, store_path=STORE_PATH, config=self.config)
+        self.callbacks = Callbacks(self.client, self)
+        self.client.add_event_callback(self.callbacks.message_cb, RoomMessageText)
+        self.client.add_event_callback(self.callbacks.invite_cb, InviteEvent)
+
+        sync_task = asyncio.create_task(self.watch_for_sync(self.client.synced))
+
+        try:
+            response = await self.client.login(self.password)
+            print(response)
+            await self.client.sync_forever(timeout=30000, full_state=True)
+        except (asyncio.CancelledError, KeyboardInterrupt):
+            print("Received interrupt.")
+            await self.client.close()
+
+    async def watch_for_sync(self, sync_event):
+        print("Awaiting sync")
+        await sync_event.wait()
+        print("Client is synced")
+        self.not_synced = False
+
+    async def send_message(self, client, room_id, message, reply_to=None, original_message=None):
+        content={"msgtype": "m.text", "body": message}
+        if reply_to:
+            content["m.relates_to"] = {"event_id": reply_to, "rel_type": "de.xd0.mpygbot.in_reply_to"}
+        if original_message:
+            content["original_message"] = original_message
+ 
+        await client.room_send(
+            room_id=room_id,
+            message_type="m.room.message",
+            content=content,
+        )
+
+    async def send_image(self, client, room_id, image):
+        """Send image to room
+            https://matrix-nio.readthedocs.io/en/latest/examples.html#sending-an-image
+        """
+        mime_type = magic.from_file(image, mime=True)  # e.g. "image/jpeg"
+        if not mime_type.startswith("image/"):
+            logger.error("Drop message because file does not have an image mime type.")
+            return
+
+        im = Image.open(image)
+        (width, height) = im.size  # im.size returns (width,height) tuple
+
+        # first do an upload of image, then send URI of upload to room
+        file_stat = await aiofiles.os.stat(image)
+        async with aiofiles.open(image, "r+b") as f:
+            resp, maybe_keys = await client.upload(
+                f,
+                content_type=mime_type,  # image/jpeg
+                filename=os.path.basename(image),
+                filesize=file_stat.st_size,
+            )
+        if isinstance(resp, UploadResponse):
+            print("Image was uploaded successfully to server. ")
+        else:
+            print(f"Failed to upload image. Failure response: {resp}")
+
+        content = {
+            "body": os.path.basename(image),  # descriptive title
+            "info": {
+                "size": file_stat.st_size,
+                "mimetype": mime_type,
+                "thumbnail_info": None,  # TODO
+                "w": width,  # width in pixel
+                "h": height,  # height in pixel
+                "thumbnail_url": None,  # TODO
+            },
+            "msgtype": "m.image",
+            "url": resp.content_uri,
+        }
+
+        try:
+            await client.room_send(room_id, message_type="m.room.message", content=content)
+            print("Image was sent successfully")
+        except Exception:
+            print(f"Image send of file {image} failed.")
+
+async def main() -> None:
+    config.read('bot.conf')
+    logging.basicConfig(level=logging.INFO)
+    for section in config.sections():
+        if section == 'DEFAULT' or section == 'Common':
+            pass
+        botname = section
+        homeserver = config[section]['url']
+        user_id = config[section]['username']
+        password = config[section]['password']
+        bot = ChatBot(homeserver, user_id, password)
+        bot.character_init(botname, config[section]['persona'], config[section]['scenario'], config[section]['greeting'])
+        if config.has_option(section, 'owner'):
+            bot.owner = config[section]['owner']
+        if config.has_option(section, 'translate'):
+            bot.translate = config[section]['translate']
+            translate.init(bot.translate, "en")
+            translate.init("en", bot.translate)
+        if config.has_option(section, 'image_prompt'):
+            bot.image_prompt = config[section]['image_prompt']
+        if config.has_option('DEFAULT', 'runpod_api_key'):
+            bot.runpod_api_key = config['DEFAULT']['runpod_api_key']
+        bots.append(bot)
+        await bot.login()
+        print("logged in")
+
+asyncio.get_event_loop().run_until_complete(main())

matrix_pygmalion_bot/helpers.py

@@ -0,0 +1,15 @@
+
+
+class ChatItem:
+    def __init__(self, event_id, timestamp, user_name, is_own_message, relates_to_event, message):
+        self.event_id = event_id
+        self.timestamp = timestamp
+        self.user_name = user_name
+        self.is_own_message = is_own_message
+        self.relates_to_event = relates_to_event
+        self.message = message
+        self.num_tokens = None
+    def __str__(self):
+        return str("{}: {}".format(self.user_name, self.message))
+    def getLine(self):
+        return str("{}: {}".format(self.user_name, self.message))

matrix_pygmalion_bot/translate.py

@@ -0,0 +1,25 @@
+import argostranslate.package
+import argostranslate.translate
+
+#from_code = "de"
+#to_code = "en"
+
+def init(from_code, to_code):
+    # Download and install Argos Translate package
+    argostranslate.package.update_package_index()
+    available_packages = argostranslate.package.get_available_packages()
+    package_to_install = next(
+        filter(
+            lambda x: x.from_code == from_code and x.to_code == to_code, available_packages
+        )
+    )
+    argostranslate.package.install_from_path(package_to_install.download())
+
+def translate(text, from_code, to_code):
+    if (from_code is None) or (to_code is None):
+        return text
+    # Translate
+    translatedText = argostranslate.translate.translate(text, from_code, to_code)
+    print('Translated: \"{}\" -> \"{}\"'.format(text, translatedText))
+    return translatedText
+    # '¡Hola Mundo!'

requirements.txt

@@ -0,0 +1,7 @@
+asyncio
+matrix-nio
+transformers
+huggingface_hub
+python-magic
+pillow
+argostranslate

run.py

@@ -0,0 +1,9 @@
+#!/usr/bin/env python3
+import asyncio
+
+try:
+    from matrix_pygmalion_bot import core
+
+    asyncio.get_event_loop().run_until_complete(core.main())
+except ImportError as e:
+    print("Unable to import matrix-pygmalion-bot.main:", e)

runpod/example/Dockerfile

@@ -0,0 +1,9 @@
+from python:3.11.1-buster
+
+WORKDIR /
+
+RUN pip install runpod
+
+ADD handler.py .
+
+CMD [ "python", "-u", "/handler.py" ]

runpod/example/handler.py

@@ -0,0 +1,21 @@
+#!/usr/bin/env python
+''' Contains the handler function that will be called by the serverless. '''
+
+import runpod
+
+# Load models into VRAM here so they can be warm between requests
+
+
+def handler(event):
+    '''
+    This is the handler function that will be called by the serverless.
+    '''
+    print(event)
+
+    # do the things
+
+    # return the output that you want to be returned like pre-signed URLs to output artifacts
+    return "Hello World"
+
+
+runpod.serverless.start({"handler": handler})

runpod/runpod-worker-deliberate/Dockerfile

@@ -0,0 +1,18 @@
+FROM runpod/stable-diffusion:web-automatic-1.5.16
+
+SHELL ["/bin/bash", "-c"]
+
+ENV PATH="${PATH}:/workspace/stable-diffusion-webui/venv/bin"
+
+WORKDIR /
+
+RUN rm /workspace/v1-5-pruned-emaonly.ckpt
+RUN wget -O model.safetensors https://civitai.com/api/download/models/5616
+RUN pip install -U xformers
+RUN pip install runpod
+
+ADD handler.py .
+ADD start.sh /start.sh
+RUN chmod +x /start.sh
+
+CMD [ "/start.sh" ]

runpod/runpod-worker-deliberate/handler.py

@@ -0,0 +1,39 @@
+import runpod
+import subprocess
+import requests
+import time
+
+def check_api_availability(host):
+    while True:
+        try:
+            response = requests.get(host)
+            return
+        except requests.exceptions.RequestException as e:
+            print(f"API is not available, retrying in 200ms... ({e})")
+        except Exception as e:
+            print('something went wrong')
+        time.sleep(200/1000)
+
+check_api_availability("http://127.0.0.1:3000/sdapi/v1/txt2img")
+
+print('run handler')
+
+def handler(event):
+    '''
+    This is the handler function that will be called by the serverless.
+    '''
+    print('got event')
+    print(event)
+
+    response = requests.post(url=f'http://127.0.0.1:3000/sdapi/v1/txt2img', json=event["input"])
+
+    json = response.json()
+    # do the things
+
+    print(json)
+
+    # return the output that you want to be returned like pre-signed URLs to output artifacts
+    return json
+
+
+runpod.serverless.start({"handler": handler})

runpod/runpod-worker-deliberate/start.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+echo "Container Started"
+export PYTHONUNBUFFERED=1
+source /workspace/stable-diffusion-webui/venv/bin/activate
+cd /workspace/stable-diffusion-webui
+echo "starting api"
+python webui.py --port 3000 --nowebui --api --xformers --ckpt /model.safetensors &
+cd /
+
+echo "starting worker"
+python -u handler.py

runpod/runpod-worker-hassanblend/Dockerfile

@@ -0,0 +1,18 @@
+FROM runpod/stable-diffusion:web-automatic-1.5.16
+
+SHELL ["/bin/bash", "-c"]
+
+ENV PATH="${PATH}:/workspace/stable-diffusion-webui/venv/bin"
+
+WORKDIR /
+
+RUN rm /workspace/v1-5-pruned-emaonly.ckpt
+RUN wget -O model.safetensors https://civitai.com/api/download/models/5616
+RUN pip install -U xformers
+RUN pip install runpod
+
+ADD handler.py .
+ADD start.sh /start.sh
+RUN chmod +x /start.sh
+
+CMD [ "/start.sh" ]

runpod/runpod-worker-hassanblend/handler.py

@@ -0,0 +1,39 @@
+import runpod
+import subprocess
+import requests
+import time
+
+def check_api_availability(host):
+    while True:
+        try:
+            response = requests.get(host)
+            return
+        except requests.exceptions.RequestException as e:
+            print(f"API is not available, retrying in 200ms... ({e})")
+        except Exception as e:
+            print('something went wrong')
+        time.sleep(200/1000)
+
+check_api_availability("http://127.0.0.1:3000/sdapi/v1/txt2img")
+
+print('run handler')
+
+def handler(event):
+    '''
+    This is the handler function that will be called by the serverless.
+    '''
+    print('got event')
+    print(event)
+
+    response = requests.post(url=f'http://127.0.0.1:3000/sdapi/v1/txt2img', json=event["input"])
+
+    json = response.json()
+    # do the things
+
+    print(json)
+
+    # return the output that you want to be returned like pre-signed URLs to output artifacts
+    return json
+
+
+runpod.serverless.start({"handler": handler})

runpod/runpod-worker-hassanblend/start.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+echo "Container Started"
+export PYTHONUNBUFFERED=1
+source /workspace/stable-diffusion-webui/venv/bin/activate
+cd /workspace/stable-diffusion-webui
+echo "starting api"
+python webui.py --port 3000 --nowebui --api --xformers --ckpt /model.safetensors &
+cd /
+
+echo "starting worker"
+python -u handler.py

setup.py

@@ -0,0 +1,6 @@
+from setuptools import find_packages, setup
+
+setup(
+    name='matrix-pygmalion-bot',
+    packages=find_packages(),
+)