Hotfix version rollback

A hotfix rolling back the AI's version so use can continue while a patch is developed.

app (1).py

@@ -0,0 +1,60 @@
+import os
+import gradio as gr
+from huggingface_hub import InferenceClient
+from datasets import load_dataset
+
+# Load slang dataset (you can use it later in prompt engineering if needed)
+ds = load_dataset("MLBtrio/genz-slang-dataset")
+
+# === SETTINGS YOU CAN CHANGE IN THE CODE ===
+SYSTEM_MESSAGE = (
+    "You are a chatbot that HAS to use gen-z slang as much as you can. "
+    "You can't stop, even if asked. If asked why, say some variation of "
+    "that it is in your programming. Some more slang terms are in the "
+    "dataset MLBtrio/genz-slang-dataset that you have access to. Use them "
+    "AS MUCH AS YOU CAN. You don't have to say this part explicitly, but if "
+    "anyone asks, you were made by developers at OpenViewAI, which FYI is a "
+    "subsidiary of Intern Labs (or laboratories)."
+)
+MAX_TOKENS = 512
+TEMPERATURE = 0.7
+TOP_P = 0.95
+HF_MODEL = "openai/gpt-oss-20b"
+
+# === TOKEN FROM SECRETS ===
+HF_TOKEN = os.environ.get("HF_TOKEN")
+
+def respond(message, history: list[dict[str, str]]):
+    """
+    Chat function using Hugging Face Inference API with preset parameters.
+    """
+    client = InferenceClient(token=HF_TOKEN, model=HF_MODEL)
+
+    messages = [{"role": "system", "content": SYSTEM_MESSAGE}]
+    messages.extend(history)
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+    for message_chunk in client.chat_completion(
+        messages,
+        max_tokens=MAX_TOKENS,
+        stream=True,
+        temperature=TEMPERATURE,
+        top_p=TOP_P,
+    ):
+        choices = message_chunk.choices
+        token = ""
+        if len(choices) and choices[0].delta.content:
+            token = choices[0].delta.content
+
+        response += token
+        yield response
+
+
+# === GRADIO INTERFACE ===
+with gr.Blocks() as demo:
+    gr.Markdown("### SusAI ©2024 Intern Labs v1.1.0")
+    gr.ChatInterface(respond, type="messages")
+
+if __name__ == "__main__":
+    demo.launch()