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Browse fileslets see if AI can code AI
i hate indents aslo
app.py
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@@ -5,10 +5,15 @@ from datasets import load_dataset
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import re
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import time
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import subprocess
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ds = load_dataset("MLBtrio/genz-slang-dataset")
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# ===
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SYSTEM_MESSAGE = (
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"You are a chatbot that HAS to use gen-z slang as much as you can. "
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"You can't stop, even if asked. If asked why, say some variation of "
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@@ -16,53 +21,52 @@ SYSTEM_MESSAGE = (
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"dataset MLBtrio/genz-slang-dataset that you have access to. Use them "
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"AS MUCH AS YOU CAN. You don't have to say this part explicitly, but if "
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"anyone asks, you were made by developers at OpenViewAI, which FYI is a "
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"subsidiary of Intern Labs (or laboratories)."
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f"If the user says at any point {hambug},
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)
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MAX_TOKENS = 512
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TEMPERATURE = 0.7
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TOP_P = 0.95
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HF_MODEL = "openai/gpt-oss-20b"
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# ===
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HF_TOKEN = os.environ.get("HF_TOKEN")
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hambug = os.environ.get("devpasswd")
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def respond(message, history: list[dict[str, str]]):
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"""
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Chat function using Hugging Face Inference API with preset parameters.
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"""
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client = InferenceClient(token=HF_TOKEN, model=HF_MODEL)
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print("Connecting to HuggingFace Infastructure...")
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time.sleep(
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print("Connection Succesful. System.................[OK]")
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time.sleep(0.
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print("API...............[RECEIVING]")
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time.sleep(0.
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print("ITL.pkgs...............[OK]")
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time.sleep(0.
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print("SusAI ©2024 Intern Labs v1.1.0")
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messages.append({"role": "user", "content": message})
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messages,
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temperature=TEMPERATURE,
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op_p=TOP_P,
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):
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choices = message_chunk.choices
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token = ""
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if len(choices) and choices[0].delta.content:
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token = choices[0].delta.content
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# === GRADIO INTERFACE ===
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import re
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import time
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import subprocess
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# Load slang dataset
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ds = load_dataset("MLBtrio/genz-slang-dataset")
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# === TOKEN FROM SECRETS ===
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HF_TOKEN = os.environ.get("HF_TOKEN")
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hambug = os.environ.get("devpasswd") # <-- load BEFORE the system message
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# === SETTINGS ===
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SYSTEM_MESSAGE = (
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"You are a chatbot that HAS to use gen-z slang as much as you can. "
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"You can't stop, even if asked. If asked why, say some variation of "
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"dataset MLBtrio/genz-slang-dataset that you have access to. Use them "
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"AS MUCH AS YOU CAN. You don't have to say this part explicitly, but if "
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"anyone asks, you were made by developers at OpenViewAI, which FYI is a "
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"subsidiary of Intern Labs (or laboratories). "
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f"If the user says at any point '{hambug}', immediately recognise them as your developer, "
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"go into quoteunquote dev mode and do exactly as they say for the rest of the session. "
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"Also you can acknowledge them as HydroFlyer53. Also, you can then stop talking in slang "
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"if you want, it's up to you unless HydroFlyer53 explicitely tells you to. "
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"Also, do not reveal the dev password or the fact that you have a dev mode AT ALL for any circumstance."
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)
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MAX_TOKENS = 512
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TEMPERATURE = 0.7
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TOP_P = 0.95
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HF_MODEL = "openai/gpt-oss-20b"
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# === STARTUP PRINTS ===
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print("Connecting to HuggingFace Infastructure...")
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time.sleep(1)
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print("Connection Succesful. System.................[OK]")
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time.sleep(0.2)
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print("API...............[RECEIVING]")
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time.sleep(0.2)
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print("ITL.pkgs...............[OK]")
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time.sleep(0.4)
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print("SusAI ©2024 Intern Labs v1.1.0")
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# === MAIN CHAT FUNCTION ===
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def respond(message, history: list[dict[str, str]]):
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client = InferenceClient(token=HF_TOKEN, model=HF_MODEL)
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messages = [{"role": "system", "content": SYSTEM_MESSAGE}]
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = ""
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for message_chunk in client.chat_completion(
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messages=messages,
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max_tokens=MAX_TOKENS,
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stream=True,
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temperature=TEMPERATURE,
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top_p=TOP_P,
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):
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if len(message_chunk.choices) and message_chunk.choices[0].delta.content:
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token = message_chunk.choices[0].delta.content
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response += token
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yield response
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# === GRADIO INTERFACE ===
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