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app.py
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@@ -2,15 +2,21 @@ import torch
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline(
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"text-generation",
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model="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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torch_dtype=torch.float32,
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device_map="auto",
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)
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-
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-
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messages = [{"role": "system", "content": system_prompt}]
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for u, a in history:
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@@ -27,8 +33,8 @@ def chat(user_message, history, system_prompt):
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output = pipe(
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prompt,
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max_new_tokens=
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temperature=
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top_p=0.9,
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do_sample=True,
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)
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@@ -42,8 +48,9 @@ def chat(user_message, history, system_prompt):
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# -------------------------------
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with gr.Blocks(title="TinyLLaMA Chatbot") as demo:
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gr.Markdown("## π¦ TinyLLaMA Chatbot")
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gr.Markdown("Select personality to change chatbot behavior.")
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preset_prompts = {
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"Pirate π΄ββ οΈ": "You are a friendly chatbot who always responds like a pirate. Use pirate words like 'Ahoy', 'Matey', and speak in a fun, adventurous style.",
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"Teacher π¨βπ«": "You are a patient teacher who explains concepts clearly. Give detailed, step-by-step explanations, and use examples.",
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@@ -62,30 +69,37 @@ with gr.Blocks(title="TinyLLaMA Chatbot") as demo:
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label="System Prompt (Editable)"
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)
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user_input = gr.Textbox(label="Your Message")
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def update_prompt(choice):
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return preset_prompts[choice]
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system_prompt_dropdown.change(update_prompt, inputs=system_prompt_dropdown, outputs=system_prompt_textbox)
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send_btn = gr.Button("Send π")
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clear_btn = gr.Button("Clear π§Ή")
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send_btn.click(
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chat,
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inputs=[user_input, chatbot, system_prompt_textbox],
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outputs=chatbot
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)
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user_input.submit(
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chat,
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inputs=[user_input, chatbot, system_prompt_textbox],
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outputs=chatbot
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)
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clear_btn.click(lambda: [], outputs=chatbot)
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demo.launch(share=True)
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import gradio as gr
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from transformers import pipeline
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# -------------------------------
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# Load TinyLLaMA Model
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# -------------------------------
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pipe = pipeline(
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"text-generation",
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model="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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torch_dtype=torch.float32, # CPU-friendly
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device_map="auto",
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)
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# -------------------------------
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# Chat Function
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# -------------------------------
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def chat(user_message, history, system_prompt, temperature, max_tokens):
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# Stronger personality: always prepend system prompt
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messages = [{"role": "system", "content": system_prompt}]
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for u, a in history:
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output = pipe(
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prompt,
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max_new_tokens=max_tokens,
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temperature=temperature,
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top_p=0.9,
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do_sample=True,
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)
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# -------------------------------
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with gr.Blocks(title="TinyLLaMA Chatbot") as demo:
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gr.Markdown("## π¦ TinyLLaMA Chatbot")
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gr.Markdown("Select personality to change chatbot behavior and adjust generation settings.")
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# Predefined personalities
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preset_prompts = {
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"Pirate π΄ββ οΈ": "You are a friendly chatbot who always responds like a pirate. Use pirate words like 'Ahoy', 'Matey', and speak in a fun, adventurous style.",
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"Teacher π¨βπ«": "You are a patient teacher who explains concepts clearly. Give detailed, step-by-step explanations, and use examples.",
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label="System Prompt (Editable)"
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)
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# Update textbox when dropdown changes
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def update_prompt(choice):
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return preset_prompts[choice]
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system_prompt_dropdown.change(update_prompt, inputs=system_prompt_dropdown, outputs=system_prompt_textbox)
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chatbot = gr.Chatbot(height=400)
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user_input = gr.Textbox(label="Your Message")
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# Generation sliders
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temperature_slider = gr.Slider(0.1, 1.2, value=0.85, step=0.05, label="Temperature")
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max_tokens_slider = gr.Slider(32, 256, value=128, step=16, label="Max Tokens")
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send_btn = gr.Button("Send π")
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clear_btn = gr.Button("Clear π§Ή")
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send_btn.click(
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chat,
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inputs=[user_input, chatbot, system_prompt_textbox, temperature_slider, max_tokens_slider],
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outputs=chatbot
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)
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user_input.submit(
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chat,
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inputs=[user_input, chatbot, system_prompt_textbox, temperature_slider, max_tokens_slider],
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outputs=chatbot
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)
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clear_btn.click(lambda: [], outputs=chatbot)
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# -------------------------------
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# Launch
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# -------------------------------
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demo.launch(share=True)
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