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| from huggingface_hub import InferenceClient | |
| import gradio as gr | |
| import os | |
| # Klient für die Inferenz | |
| client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") | |
| # Geheime Eingabeaufforderung aus Umgebungsvariablen | |
| secret_prompt = os.getenv("SECRET_PROMPT") | |
| def format_prompt(new_message, history): | |
| prompt = secret_prompt | |
| for user_msg, bot_msg in history: | |
| prompt += f"[INST] {user_msg} [/INST]" | |
| prompt += f" {bot_msg}</s> " | |
| prompt += f"[INST] {new_message} [/INST]" | |
| return prompt | |
| def generate(prompt, history, temperature=0.25, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0): | |
| # Konfiguration der Parameter | |
| temperature = float(temperature) | |
| if temperature < 1e-2: | |
| temperature = 1e-2 | |
| top_p = float(top_p) | |
| generate_kwargs = dict( | |
| temperature=temperature, | |
| max_new_tokens=max_new_tokens, | |
| top_p=top_p, | |
| repetition_penalty=repetition_penalty, | |
| do_sample=True, | |
| seed=727, | |
| ) | |
| formatted_prompt = format_prompt(prompt, history) | |
| stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) | |
| output = "" | |
| for response in stream: | |
| output += response.token.text | |
| yield output | |
| return output | |
| # Chatbot ohne Avatare und mit transparentem Design | |
| samir_chatbot = gr.Chatbot(bubble_full_width=True, show_label=False, show_copy_button=False, likeable=False) | |
| # Minimalistisches Theme und Konfiguration der Gradio-Demo | |
| theme = 'syddharth/gray-minimal' | |
| demo = gr.ChatInterface(fn=generate, chatbot=samir_chatbot, title="Tutorial Master", theme=theme) | |
| demo.queue().launch(show_api=False) |