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Runtime error
| import os | |
| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| from pipeline import get_retrieval_answer | |
| client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") | |
| def respond(message, history, system_message, max_tokens, temperature, top_p): | |
| # First try PDF-based answer | |
| retrieval = get_retrieval_answer(message) | |
| if retrieval: | |
| return retrieval | |
| # Otherwise fallback to Zephyr | |
| messages = [{"role": "system", "content": system_message}] | |
| for user, bot in history: | |
| if user: | |
| messages.append({"role": "user", "content": user}) | |
| if bot: | |
| messages.append({"role": "assistant", "content": bot}) | |
| messages.append({"role": "user", "content": message}) | |
| response = "" | |
| for chunk in client.chat_completion( | |
| messages=messages, | |
| max_tokens=max_tokens, | |
| stream=True, | |
| temperature=temperature, | |
| top_p=top_p, | |
| ): | |
| token = chunk.choices[0].delta.content or "" | |
| response += token | |
| yield response | |
| demo = gr.ChatInterface( | |
| respond, | |
| additional_inputs=[ | |
| gr.Textbox(value="You are a helpful AI assistant for analyzing PDF filings.", label="System message"), | |
| gr.Slider(1, 2048, value=512, step=1, label="Max new tokens"), | |
| gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Temperature"), | |
| gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p"), | |
| ], | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() |