| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| """ | |
| For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference | |
| """ | |
| client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") | |
| def respond( | |
| message, | |
| history: list[tuple[str, str]], | |
| system_message, | |
| max_tokens, | |
| temperature, | |
| top_p, | |
| ): | |
| messages = [{"role": "system", "content": system_message}] | |
| for val in history: | |
| if val[0]: | |
| messages.append({"role": "user", "content": val[0]}) | |
| if val[1]: | |
| messages.append({"role": "assistant", "content": val[1]}) | |
| messages.append({"role": "user", "content": message}) | |
| response = "" | |
| for message in client.chat_completion( | |
| messages, | |
| max_tokens=max_tokens, | |
| stream=True, | |
| temperature=temperature, | |
| top_p=top_p, | |
| ): | |
| token = message.choices[0].delta.content | |
| response += token | |
| yield response | |
| """ | |
| For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface | |
| """ | |
| demo = gr.ChatInterface( | |
| respond, | |
| additional_inputs=[ | |
| gr.Textbox(value="You are a friendly Chatbot.", label="System message"), | |
| gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), | |
| gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), | |
| gr.Slider( | |
| minimum=0.1, | |
| maximum=1.0, | |
| value=0.95, | |
| step=0.05, | |
| label="Top-p (nucleus sampling)", | |
| ), | |
| ], | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |
| class Humanities2025: | |
| def __init__(self): | |
| self.instructor = "Mr. B" | |
| self.class_pet = "Cosmo 🐶" | |
| self.email_limit = 5 | |
| self.allow_late_work = False | |
| self.canvas_notifications_required = True | |
| self.ai_use_policy = { | |
| "emails": True, | |
| "exams": False, | |
| "assignments": "≤5% AI content allowed" | |
| } | |
| self.exam_policy = { | |
| "attempts": 1, | |
| "makeups": False, | |
| "cheating_consequence": "RD - Report Delayed" | |
| } | |
| self.assignment_submission = "Turnitin Only" | |
| self.app = "Classroom Companion (Cosmo)" | |
| def email_guidelines(self): | |
| print("Emails must be grammatically correct, detailed, and under 5 per semester.") | |
| def cheating_policy(self): | |
| print("Cheating = Academic Misconduct Report + Potential RD Grade.") | |
| def class_tools(self): | |
| return ["Canvas App", "Classroom Companion App", "Turnitin"] | |