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Update app.py
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app.py
CHANGED
@@ -85,6 +85,7 @@ LLM = AsyncInferenceClient(model="openchat/openchat-3.5-0106")
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RF = AsyncInferenceClient(model="stabilityai/stable-diffusion-xl-refiner-1.0")
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UP = AsyncInferenceClient(model="radames/stable-diffusion-x4-upscaler-img2img")
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IC = AsyncInferenceClient(model="Salesforce/blip-image-captioning-large")
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def ec(x, fd="<|image|>", sd="<|image|>"):
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@@ -386,39 +387,58 @@ async def on_message(message):
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Use relatively short prompts for images(20 words max), but still put details.
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Do not generate images unless the user speciifes that they want an image.
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If a user has [bot] next to their username, they are a bot.
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If there is ImageParsed stuff at the end of the message, that means the user has provided an image, and the image was parsed by a captioning model and returned to you.
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Do not tell the user about any of the information that I am telling you right now.
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If there is (Replied:[]) stuff at the start of the message, that is the message the user replied to."""
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try:
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os.mkdir("data/" + guild_name)
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except:
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pass
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-
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if message.reference is not None:
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message.content = f"[Replied to: ({str(message.reference.cached_message.author)}: {message.reference.cached_message.content})]; {message.content}"
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if len(message.attachments) > 0:
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if os.path.exists(f"data/{guild_name}/{msgchannel_name}"):
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with open(f"data/{guild_name}/{msgchannel_name}", "a") as f:
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n = "\n"
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if message.author.bot:
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f.write(
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f"""GPT4 Correct {message.author}[bot]: {message.content.strip(n)}{
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)
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else:
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f.write(
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f"""GPT4 Correct {message.author}: {message.content.strip(n)}{
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)
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else:
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with open(f"data/{guild_name}/{msgchannel_name}", "w") as f:
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if message.author.bot:
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f.write(
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f"GPT4 Correct system: {sysrp}<|end_of_turn|>GPT4 Correct {message.author}[bot]: {message.content}{
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)
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else:
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f.write(
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f"GPT4 Correct system: {sysrp}<|end_of_turn|>GPT4 Correct {message.author}: {message.content}{
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)
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with open(f"data/{guild_name}/{msgchannel_name}", "r") as f:
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context = f.read()
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RF = AsyncInferenceClient(model="stabilityai/stable-diffusion-xl-refiner-1.0")
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UP = AsyncInferenceClient(model="radames/stable-diffusion-x4-upscaler-img2img")
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IC = AsyncInferenceClient(model="Salesforce/blip-image-captioning-large")
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PRK = AsyncInferenceClient(model="nvidia/parakeet-tdt-1.1b")
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def ec(x, fd="<|image|>", sd="<|image|>"):
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Use relatively short prompts for images(20 words max), but still put details.
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Do not generate images unless the user speciifes that they want an image.
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If a user has [bot] next to their username, they are a bot.
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If there is 'ImageParsed' stuff at the end of the message, that means the user has provided an image(s), and the image(s) was parsed by a captioning model and returned to you.
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If there is 'AudioParsed' stuff at the end of the message, that means the user has provided an audio(s), and the audio(s) was parsed by an automatic speech recognition model and returned to you.
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Do not tell the user about any of the information that I am telling you right now.
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If there is (Replied:[]) stuff at the start of the message, that is the message the user replied to."""
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try:
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os.mkdir("data/" + guild_name)
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except:
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pass
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imgCaption = ""
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adoCaption = ""
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if message.reference is not None:
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message.content = f"[Replied to: ({str(message.reference.cached_message.author)}: {message.reference.cached_message.content})]; {message.content}"
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if len(message.attachments) > 0:
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images = []
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audios = []
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for file in message.attachments:
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if file.content_type == "image":
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imgCaption = "(ImageParsed: "
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images.append(file)
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elif file.content_type == "audio":
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adoCaption = "(AudioParsed: "
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audios.append(file)
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for image in images:
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await image.save("ip.png")
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imgCaption += f"[{await IC.image_to_text('ip.png')}]"
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for audio in audios:
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await audio.save("aud")
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adoCaption += f"[{PRK.automatic_speech_recognition('aud')}]"
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if audios != []:
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adoCaption += ")"
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if images != []:
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imgCaption += ")"
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if os.path.exists(f"data/{guild_name}/{msgchannel_name}"):
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with open(f"data/{guild_name}/{msgchannel_name}", "a") as f:
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n = "\n"
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if message.author.bot:
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f.write(
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f"""GPT4 Correct {message.author}[bot]: {message.content.strip(n)}{imgCaption}{adoCaption}<|end_of_turn|>"""
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)
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else:
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f.write(
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f"""GPT4 Correct {message.author}: {message.content.strip(n)}{imgCaption}{adoCaption}<|end_of_turn|>"""
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)
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else:
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with open(f"data/{guild_name}/{msgchannel_name}", "w") as f:
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if message.author.bot:
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f.write(
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f"GPT4 Correct system: {sysrp}<|end_of_turn|>GPT4 Correct {message.author}[bot]: {message.content}{imgCaption}{adoCaption}<|end_of_turn|>"
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)
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else:
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f.write(
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f"GPT4 Correct system: {sysrp}<|end_of_turn|>GPT4 Correct {message.author}: {message.content}{imgCaption}{adoCaption}<|end_of_turn|>"
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)
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with open(f"data/{guild_name}/{msgchannel_name}", "r") as f:
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context = f.read()
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