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from typing import List, Tuple, Dict, Generator |
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from langchain.llms import OpenAI |
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import gradio as gr |
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model_name = "gpt-3.5-turbo" |
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LLM = OpenAI(model_name=model_name, temperature=0.1) |
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def create_history_messages(history: List[Tuple[str, str]]) -> List[dict]: |
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history_messages = [{"role": "user", "content": m[0]} for m in history] |
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history_messages.extend([{"role": "assistant", "content": m[1]} for m in history]) |
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return history_messages |
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def create_formatted_history(history_messages: List[dict]) -> List[Tuple[str, str]]: |
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formatted_history = [] |
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user_messages = [] |
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assistant_messages = [] |
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for message in history_messages: |
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if message["role"] == "user": |
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user_messages.append(message["content"]) |
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elif message["role"] == "assistant": |
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assistant_messages.append(message["content"]) |
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if user_messages and assistant_messages: |
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formatted_history.append( |
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("".join(user_messages), "".join(assistant_messages)) |
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) |
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user_messages = [] |
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assistant_messages = [] |
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if user_messages: |
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formatted_history.append(("".join(user_messages), None)) |
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elif assistant_messages: |
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formatted_history.append((None, "".join(assistant_messages))) |
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return formatted_history |
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def chat( |
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message: str, state, client=LLM.client |
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) -> Generator[Tuple[List[Tuple[str, str]], List[Tuple[str, str]]], None, None]: |
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history_messages = state |
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if history_messages == None: |
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history_messages = [] |
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history_messages.append({"role": "system", "content": "A helpful assistant."}) |
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history_messages.append({"role": "user", "content": message}) |
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history_messages.append({"role": "assistant", "content": ""}) |
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response_message = "" |
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chat_generator = client.create( |
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messages=history_messages, stream=True, model=model_name |
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) |
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for chunk in chat_generator: |
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if "choices" in chunk: |
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for choice in chunk["choices"]: |
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if "delta" in choice and "content" in choice["delta"]: |
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new_token = choice["delta"]["content"] |
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response_message += new_token |
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history_messages[-1]["content"] = response_message |
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if "finish_reason" in choice and choice["finish_reason"] == "stop": |
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break |
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formatted_history = create_formatted_history(history_messages) |
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yield formatted_history, history_messages |
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chatbot = gr.Chatbot(label="Chat").style(color_map=("yellow", "purple")) |
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iface = gr.Interface( |
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fn=chat, |
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inputs=[ |
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gr.Textbox(placeholder="Hello! How are you? etc.", label="Message"), |
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"state", |
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], |
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outputs=[chatbot, "state"], |
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allow_flagging="never", |
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) |
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iface.queue().launch() |