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Update app.py
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app.py
CHANGED
@@ -2,7 +2,7 @@ import gradio as gr
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from transformers import pipeline, set_seed
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from functools import lru_cache
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# === 1.
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@lru_cache(maxsize=1)
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def get_generator(model_name: str):
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return pipeline(
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@@ -12,15 +12,20 @@ def get_generator(model_name: str):
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device_map="auto"
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)
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# === 2. Chat
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def chat(user_input, history, model_name, max_length, temperature, seed):
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if seed and seed > 0:
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set_seed(seed)
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generator = get_generator(model_name)
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prompt = (
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"[INST] <<SYS>>\nYou are a helpful assistant.\n<</SYS>>\n\n"
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f"{user_input}\n[/INST]"
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)
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outputs = generator(
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prompt,
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max_length=max_length,
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@@ -29,28 +34,36 @@ def chat(user_input, history, model_name, max_length, temperature, seed):
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num_return_sequences=1
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)
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response = outputs[0]["generated_text"].split("[/INST]")[-1].strip()
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return history, history
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# === 3. Build Gradio UI ===
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with gr.Blocks() as demo:
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gr.Markdown("## 🤖 Mistral-7B-Instruct Chatbot (Gradio)")
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with gr.Row():
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with gr.Column(scale=3):
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submit = gr.Button("Send")
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with gr.Column(scale=1):
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gr.Markdown("### Settings")
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model_name
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max_length
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temperature = gr.Slider(0.0, 1.0, 0.7, step=0.05, label="Temperature")
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seed
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submit.click(
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fn=chat,
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inputs=[inp,
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outputs=[
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)
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if __name__ == "__main__":
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from transformers import pipeline, set_seed
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from functools import lru_cache
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# === 1. Cache the model loader once per session ===
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@lru_cache(maxsize=1)
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def get_generator(model_name: str):
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return pipeline(
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device_map="auto"
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)
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# === 2. Chat callback ===
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def chat(user_input, history, model_name, max_length, temperature, seed):
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# Set seed if provided
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if seed and seed > 0:
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set_seed(seed)
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# Lazy-load the model
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generator = get_generator(model_name)
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# Build prompt in Mistral’s instruction format
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prompt = (
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"[INST] <<SYS>>\nYou are a helpful assistant.\n<</SYS>>\n\n"
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f"{user_input}\n[/INST]"
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)
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# Generate response
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outputs = generator(
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prompt,
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max_length=max_length,
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num_return_sequences=1
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)
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response = outputs[0]["generated_text"].split("[/INST]")[-1].strip()
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# Append to history as dicts for "messages" format
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history.append({"role": "user", "content": user_input})
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history.append({"role": "assistant", "content": response})
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return history, history
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# === 3. Build Gradio UI ===
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with gr.Blocks() as demo:
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gr.Markdown("## 🤖 Mistral-7B-Instruct Chatbot (Gradio)")
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# Chatbot and session-state
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chatbot = gr.Chatbot(type="messages") # :contentReference[oaicite:3]{index=3}
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state = gr.State([]) # :contentReference[oaicite:4]{index=4}
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with gr.Row():
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with gr.Column(scale=3):
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inp = gr.Textbox(placeholder="Type your message...", lines=2, show_label=False)
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submit= gr.Button("Send")
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with gr.Column(scale=1):
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gr.Markdown("### Settings")
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model_name = gr.Textbox(value="mistralai/Mistral-7B-Instruct-v0.3", label="Model name")
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max_length = gr.Slider(50, 1024, 256, step=50, label="Max tokens")
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temperature = gr.Slider(0.0, 1.0, 0.7, step=0.05, label="Temperature")
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seed = gr.Number(42, label="Random seed (0 disables)")
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# Wire the button: inputs include the gr.State; outputs update both Chatbot and state
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submit.click(
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fn=chat,
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inputs=[inp, state, model_name, max_length, temperature, seed],
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outputs=[chatbot, state]
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)
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if __name__ == "__main__":
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