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Update app.py
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app.py
CHANGED
@@ -9,17 +9,19 @@ hf_token = os.environ["HUGGINGFACEHUB_API_TOKEN"]
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torch.set_num_threads(4)
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#
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tokenizer = None
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model = None
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# Load selected model
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def load_model(model_name):
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global tokenizer, model
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full_model_name = f"MaxLSB/{model_name}"
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tokenizer = AutoTokenizer.from_pretrained(full_model_name, token=hf_token)
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model = AutoModelForCausalLM.from_pretrained(full_model_name, token=hf_token)
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model.eval()
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# Initialize default model
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load_model("LeCarnet-8M")
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@@ -49,7 +51,8 @@ def respond(message, max_tokens, temperature, top_p):
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response = ""
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for new_text in streamer:
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response += new_text
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# User input handler
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def user(message, chat_history):
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@@ -69,8 +72,6 @@ def update_model(model_name):
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load_model(model_name)
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return []
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image_path = "static/le-carnet.png"
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# Gradio UI
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with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
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with gr.Row():
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@@ -78,11 +79,9 @@ with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
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<div style="text-align: center; width: 100%;">
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<h1 style="margin: 0;">LeCarnet Demo π</h1>
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</div>
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""")
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# Main layout
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with gr.Row():
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# Left column: Options
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with gr.Column(scale=1, min_width=150):
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model_selector = gr.Dropdown(
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choices=["LeCarnet-3M", "LeCarnet-8M", "LeCarnet-21M"],
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@@ -94,7 +93,6 @@ with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
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top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-p Sampling")
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clear_button = gr.Button("Clear Chat")
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# Right column: Chat
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with gr.Column(scale=4):
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chatbot = gr.Chatbot(
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bubble_full_width=False,
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@@ -114,7 +112,6 @@ with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
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label="Example Prompts"
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)
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# Event handlers
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model_selector.change(fn=update_model, inputs=[model_selector], outputs=[])
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msg_input.submit(fn=user, inputs=[msg_input, chatbot], outputs=[msg_input, chatbot], queue=False).then(
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fn=bot, inputs=[chatbot, max_tokens, temperature, top_p], outputs=[chatbot]
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@@ -122,4 +119,4 @@ with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
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clear_button.click(fn=lambda: None, inputs=None, outputs=chatbot, queue=False)
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if __name__ == "__main__":
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demo.queue(default_concurrency_limit=10, max_size=10).launch(ssr_mode=False, max_threads=10)
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torch.set_num_threads(4)
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# Globals
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tokenizer = None
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model = None
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current_model_name = None
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# Load selected model
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def load_model(model_name):
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global tokenizer, model, current_model_name
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full_model_name = f"MaxLSB/{model_name}"
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tokenizer = AutoTokenizer.from_pretrained(full_model_name, token=hf_token)
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model = AutoModelForCausalLM.from_pretrained(full_model_name, token=hf_token)
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model.eval()
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current_model_name = model_name
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# Initialize default model
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load_model("LeCarnet-8M")
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response = ""
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for new_text in streamer:
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response += new_text
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# prepend model name on its own line
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yield f"**Model: {current_model_name}**\n\n{response}"
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# User input handler
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def user(message, chat_history):
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load_model(model_name)
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return []
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# Gradio UI
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with gr.Blocks(title="LeCarnet - Chat Interface") as demo:
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with gr.Row():
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<div style="text-align: center; width: 100%;">
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<h1 style="margin: 0;">LeCarnet Demo π</h1>
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</div>
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""" )
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with gr.Row():
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with gr.Column(scale=1, min_width=150):
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model_selector = gr.Dropdown(
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choices=["LeCarnet-3M", "LeCarnet-8M", "LeCarnet-21M"],
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top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-p Sampling")
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clear_button = gr.Button("Clear Chat")
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with gr.Column(scale=4):
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chatbot = gr.Chatbot(
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bubble_full_width=False,
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label="Example Prompts"
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)
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model_selector.change(fn=update_model, inputs=[model_selector], outputs=[])
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msg_input.submit(fn=user, inputs=[msg_input, chatbot], outputs=[msg_input, chatbot], queue=False).then(
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fn=bot, inputs=[chatbot, max_tokens, temperature, top_p], outputs=[chatbot]
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clear_button.click(fn=lambda: None, inputs=None, outputs=chatbot, queue=False)
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if __name__ == "__main__":
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demo.queue(default_concurrency_limit=10, max_size=10).launch(ssr_mode=False, max_threads=10)
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