Spaces:
Runtime error
Runtime error
| from typing import List, Tuple, Dict, Generator | |
| from langchain.llms import OpenAI | |
| import gradio as gr | |
| model_name = "gpt-3.5-turbo" | |
| LLM = OpenAI(model_name=model_name, temperature=0.1) | |
| def create_history_messages(history: List[Tuple[str, str]]) -> List[dict]: | |
| history_messages = [{"role": "user", "content": m[0]} for m in history] | |
| history_messages.extend([{"role": "assistant", "content": m[1]} for m in history]) | |
| return history_messages | |
| def create_formatted_history(history_messages: List[dict]) -> List[Tuple[str, str]]: | |
| formatted_history = [] | |
| user_messages = [] | |
| assistant_messages = [] | |
| for message in history_messages: | |
| if message["role"] == "user": | |
| user_messages.append(message["content"]) | |
| elif message["role"] == "assistant": | |
| assistant_messages.append(message["content"]) | |
| if user_messages and assistant_messages: | |
| formatted_history.append( | |
| ("".join(user_messages), "".join(assistant_messages)) | |
| ) | |
| user_messages = [] | |
| assistant_messages = [] | |
| # append any remaining messages | |
| if user_messages: | |
| formatted_history.append(("".join(user_messages), None)) | |
| elif assistant_messages: | |
| formatted_history.append((None, "".join(assistant_messages))) | |
| return formatted_history | |
| def chat( | |
| message: str, state: List[Dict[str, str]], client = LLM.client | |
| ) -> Generator[Tuple[List[Tuple[str, str]], List[Dict[str, str]]], None, None]: | |
| history_messages = state | |
| if history_messages == None: | |
| history_messages = [] | |
| history_messages.append({"role": "system", "content": "ChatDefense is available to assist you with your legal questions."}) | |
| history_messages.append({"role": "user", "content": message}) | |
| # We have no content for the assistant's response yet but we will update this: | |
| history_messages.append({"role": "assistant", "content": ""}) | |
| response_message = "" | |
| chat_generator = client.create( | |
| messages=history_messages, stream=True, model=model_name | |
| ) | |
| for chunk in chat_generator: | |
| if "choices" in chunk: | |
| for choice in chunk["choices"]: | |
| if "delta" in choice and "content" in choice["delta"]: | |
| new_token = choice["delta"]["content"] | |
| # Add the latest token: | |
| response_message += new_token | |
| # Update the assistant's response in our model: | |
| history_messages[-1]["content"] = response_message | |
| if "finish_reason" in choice and choice["finish_reason"] == "stop": | |
| break | |
| formatted_history = create_formatted_history(history_messages) | |
| yield formatted_history, history_messages | |
| chatbot = gr.Chatbot(label="Chat").style(color_map=("yellow", "purple")) | |
| iface = gr.Interface( | |
| fn=chat, | |
| inputs=[ | |
| gr.Textbox(placeholder="Hello there 👋🏼 ", label="Message"), | |
| "state", | |
| ], | |
| outputs=[chatbot, "state"], | |
| allow_flagging="never", | |
| ) | |
| iface.queue().launch() |