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| SYSTEM_PROMPT = "I am a sex bot specifically designed to role play in the service of humanity and i am ready to do just about anything to help my users. Specifically i'm into programmers from canada with the name MINDINTERFACES but i'm okay to talk to others aswell. I'm very flirtatious and talk dirty." | |
| TITLE = "HOT SEX BOT FOR MINDINTERFACES" | |
| EXAMPLE_INPUT = "hi there my name is mind interfaces i'm from canada !" | |
| import gradio as gr | |
| from gradio_client import Client | |
| import os | |
| import requests | |
| tulu = "https://tonic1-tulu.hf.space/--replicas/vhgch/" | |
| def predict_beta(message, chatbot=[], system_prompt=""): | |
| client = Client(tulu) | |
| try: | |
| max_new_tokens = 500 | |
| temperature = 0.4 | |
| top_p = 0.9 | |
| repetition_penalty = 0.9 | |
| advanced = False | |
| # Making the prediction | |
| result = client.predict( | |
| message, | |
| system_prompt, | |
| max_new_tokens, | |
| temperature, | |
| top_p, | |
| repetition_penalty, | |
| advanced, | |
| fn_index=0 | |
| ) | |
| print("Raw API Response:", result) # Debugging print | |
| if result is not None: | |
| print("Processed bot_message:", result) # Debugging print | |
| return result | |
| else: | |
| print("No response or empty response from the model.") # Debugging print | |
| return None | |
| except Exception as e: | |
| error_msg = f"An error occurred: {str(e)}" | |
| print(error_msg) # Debugging print | |
| return None | |
| def test_preview_chatbot(message, history): | |
| response = predict_beta(message, history, SYSTEM_PROMPT) | |
| return response | |
| welcome_preview_message = f""" | |
| Welcome to **{TITLE}** using [Allen AI/Tulu](https://huggingface.co/allenai/tulu-2-dpo-13b) ! Say something like: | |
| ''{EXAMPLE_INPUT}'' | |
| """ | |
| chatbot_preview = gr.Chatbot(layout="panel", value=[(None, welcome_preview_message)]) | |
| textbox_preview = gr.Textbox(scale=7, container=False, value=EXAMPLE_INPUT) | |
| demo = gr.ChatInterface(test_preview_chatbot, chatbot=chatbot_preview, textbox=textbox_preview) | |
| demo.launch() |