| 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"] |
|
|
|
|
|
|
