Spaces:
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Running
Fix problem with multiple turns for some models
Browse files
app.py
CHANGED
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@@ -5,21 +5,24 @@ import gradio as gr
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from utils import COMMUNITY_POSTFIX_URL, get_model_config, log_message, check_format, models_config
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DEFAULT_MODEL_NAME = "Apriel-Nemotron-15b-Thinker"
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chat_start_count = 0
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model_config =
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def setup_model(model_name, intial=False):
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global model_config,
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model_config = get_model_config(model_name)
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log_message(f"update_model() --> Model config: {model_config}")
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-
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api_key=model_config.get('AUTH_TOKEN'),
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base_url=model_config.get('VLLM_API_URL')
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)
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@@ -44,7 +47,8 @@ def chat_fn(message, history):
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# Check if the message is empty
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if not message.strip():
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gr.Warning("Please enter a message before sending.")
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-
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global chat_start_count
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chat_start_count = chat_start_count + 1
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@@ -54,34 +58,32 @@ def chat_fn(message, history):
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is_reasoning = model_config.get("REASONING")
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# Remove any assistant messages with metadata from history for multiple turns
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log_message(f"
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check_format(history, "messages")
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history = [item for item in history if
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not (isinstance(item, dict) and
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item.get("role") == "assistant" and
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isinstance(item.get("metadata"), dict) and
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item.get("metadata", {}).get("title") is not None)]
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log_message(f"Updated History: {history}")
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check_format(history, "messages")
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history.append({"role": "user", "content": message})
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log_message(f"History with user message: {history}")
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check_format(history, "messages")
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# Create the streaming response
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try:
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model=model_config.get('MODEL_NAME'),
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messages=
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temperature=
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stream=True
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)
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except Exception as e:
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print(f"Error: {e}")
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yield
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role="assistant",
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content="😔 The model is unavailable at the moment. Please try again later.",
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)
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return
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if is_reasoning:
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@@ -92,6 +94,13 @@ def chat_fn(message, history):
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))
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log_message(f"History added thinking: {history}")
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check_format(history, "messages")
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output = ""
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completion_started = False
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@@ -135,11 +144,8 @@ def chat_fn(message, history):
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content=output
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)
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#
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# check_format(messages_to_yield, "messages")
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# log_message(f"Yielding messages: {messages_to_yield}")
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yield messages_to_yield
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log_message(f"Final History: {history}")
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check_format(history, "messages")
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@@ -281,6 +287,7 @@ with gr.Blocks(theme=gr.themes.Default(primary_hue="green")) as demo:
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desc = setup_model(actual_model_name)
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return desc, []
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model_dropdown.change(
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fn=update_model_and_clear,
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inputs=[model_dropdown],
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from utils import COMMUNITY_POSTFIX_URL, get_model_config, log_message, check_format, models_config
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MODEL_TEMPERATURE = 0.8
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BUTTON_WIDTH = 160
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DEFAULT_MODEL_NAME = "Apriel-Nemotron-15b-Thinker"
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# DEFAULT_MODEL_NAME = "Apriel-5b"
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print(f"Gradio version: {gr.__version__}")
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chat_start_count = 0
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model_config = {}
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openai_client = None
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def setup_model(model_name, intial=False):
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global model_config, openai_client
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model_config = get_model_config(model_name)
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log_message(f"update_model() --> Model config: {model_config}")
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openai_client = OpenAI(
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api_key=model_config.get('AUTH_TOKEN'),
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base_url=model_config.get('VLLM_API_URL')
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)
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# Check if the message is empty
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if not message.strip():
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gr.Warning("Please enter a message before sending.")
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yield history
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return
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global chat_start_count
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chat_start_count = chat_start_count + 1
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is_reasoning = model_config.get("REASONING")
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# Remove any assistant messages with metadata from history for multiple turns
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log_message(f"Initial History: {history}")
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check_format(history, "messages")
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history.append({"role": "user", "content": message})
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log_message(f"History with user message: {history}")
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check_format(history, "messages")
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# Create the streaming response
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try:
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history_no_thoughts = [item for item in history if
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not (isinstance(item, dict) and
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item.get("role") == "assistant" and
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isinstance(item.get("metadata"), dict) and
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item.get("metadata", {}).get("title") is not None)]
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log_message(f"Updated History: {history_no_thoughts}")
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check_format(history_no_thoughts, "messages")
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log_message(f"history_no_thoughts with user message: {history_no_thoughts}")
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stream = openai_client.chat.completions.create(
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model=model_config.get('MODEL_NAME'),
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messages=history_no_thoughts,
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temperature=MODEL_TEMPERATURE,
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stream=True
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)
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except Exception as e:
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print(f"Error: {e}")
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yield [{"role": "assistant", "content": "😔 The model is unavailable at the moment. Please try again later."}]
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return
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if is_reasoning:
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))
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log_message(f"History added thinking: {history}")
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check_format(history, "messages")
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else:
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history.append(gr.ChatMessage(
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role="assistant",
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content="",
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))
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log_message(f"History added empty assistant: {history}")
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check_format(history, "messages")
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output = ""
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completion_started = False
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content=output
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)
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# log_message(f"Yielding messages: {history}")
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yield history
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log_message(f"Final History: {history}")
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check_format(history, "messages")
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desc = setup_model(actual_model_name)
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return desc, []
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+
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model_dropdown.change(
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fn=update_model_and_clear,
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inputs=[model_dropdown],
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