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import gradio as gr |
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from openai import OpenAI, APIError |
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import os |
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import tenacity |
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ACCESS_TOKEN = os.getenv("HF_TOKEN") |
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client = OpenAI( |
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base_url="https://api-inference.huggingface.co/v1/", |
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api_key=ACCESS_TOKEN, |
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) |
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@tenacity.retry(wait=tenacity.wait_exponential(multiplier=1, min=4, max=10)) |
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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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try: |
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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.completions.create( |
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model="NousResearch/Hermes-3-Llama-3.1-8B", |
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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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messages=messages, |
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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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except APIError as e: |
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error_details = e.body |
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error_type = error_details.get("type") |
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error_code = error_details.get("code") |
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error_param = error_details.get("param") |
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error_message = error_details.get("message") |
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if error_type: |
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error_str = f"{error_type}: {error_message} (code: {error_code}, param: {error_param})" |
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else: |
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error_str = "An error occurred during streaming" |
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print(f"Error: {error_str}") |
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yield error_str |
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except Exception as e: |
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print(f"Error: {e}") |
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yield "Error occurred. Please try again." |
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chatbot = gr.Chatbot(height=600) |
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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="", label="System message"), |
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gr.Slider(minimum=1, maximum=2048, value=2048, 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", |
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), |
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], |
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fill_height=True, |
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chatbot=chatbot |
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) |
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if __name__ == "__main__": |
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demo.launch(show_error=True) |
