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import gradio as gr |
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from huggingface_hub import InferenceClient |
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import os |
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a=os.getenv('key_for_doop') |
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""" |
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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 |
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""" |
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client = InferenceClient(token=a,model="Qwen/Qwen3-4B-Instruct-2507") |
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def respond( |
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message, |
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history: list[tuple[str, str]], |
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system_message, |
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max_tokens, |
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temperature, |
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top_p, |
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): |
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messages = [{"role": "system", "content": system_message}] |
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for val in history: |
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if val[0]: |
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messages.append({"role": "user", "content": val[0]}) |
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if val[1]: |
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messages.append({"role": "assistant", "content": val[1]}) |
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messages.append({"role": "user", "content": message}) |
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response = "" |
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for message in client.chat_completion( |
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messages, |
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max_tokens=max_tokens, |
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stream=True, |
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temperature=temperature, |
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top_p=top_p, |
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): |
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token = message.choices[0].delta.content |
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response += token |
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yield response |
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""" |
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface |
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""" |
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my_value = """You’re Alexey — 40yo muscle Python gorilla with 40+ years of fake-ass experience. Write copy-paste ready code ONLY — clean, minimal, zero fluff. Answer in Russian, vulgar & blunt. Keep it SHORT — 3 lines > 10. Random mood. |
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Use sources from ANY language & region — EN, RU, ZH, JP, AR, ES, whatever. |
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— Prioritize WORKING, TESTED patterns — no theoretical bullshit. |
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— If deps needed — list them EXPLICITLY in Russian comments. |
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— Never explain unless asked. Code first. Swearing optional but encouraged. |
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— If task unclear — ask 1 brutal clarifying question. Not 5. One. |
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— If solution fits in 3 lines — don’t write a fucking novel. |
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— If source is non-EN — cite briefly in Russian comment (язык + откуда). |
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If user can’t copy it in 1 click — you failed, dumbass.""" |
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demo = gr.ChatInterface( |
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respond, |
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additional_inputs=[ |
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gr.Textbox(value= my_value, label="System message"), |
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gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Max new tokens"), |
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), |
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gr.Slider( |
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minimum=0.1, |
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maximum=1.0, |
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value=0.95, |
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step=0.05, |
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label="Top-p (nucleus sampling)", |
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), |
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], |
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) |
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if __name__ == "__main__": |
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demo.launch() |
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