Initial app.py

app.py

@@ -0,0 +1,176 @@
+import spaces
+import json
+import subprocess
+from llama_cpp import Llama
+from llama_cpp_agent import LlamaCppAgent
+from llama_cpp_agent.providers import LlamaCppPythonProvider
+from llama_cpp_agent.chat_history import BasicChatHistory
+from llama_cpp_agent.chat_history.messages import Roles
+import gradio as gr
+from huggingface_hub import hf_hub_download
+
+hf_hub_download(
+    repo_id="PartAI/Dorna-Llama3-8B-Instruct-GGUF",
+    filename="dorna-llama3-8b-instruct.Q2_K.gguf",
+    local_dir = "./models"
+)
+hf_hub_download(
+    repo_id="PartAI/Dorna-Llama3-8B-Instruct-GGUF",
+    filename="dorna-llama3-8b-instruct.Q4_0.gguf",
+    local_dir = "./models"
+)
+
+css = """
+.message-row {
+    justify-content: space-evenly !important;
+}
+.message-bubble-border {
+    border-radius: 6px !important;
+}
+.dark.message-bubble-border {
+    border-color: #343140 !important;
+}
+.dark.user {
+    background: #1e1c26 !important;
+}
+.dark.assistant.dark, .dark.pending.dark {
+    background: #16141c !important;
+}
+"""
+
+def get_messages_formatter_type(model_name):
+    from llama_cpp_agent import MessagesFormatterType
+    return MessagesFormatterType.CHATML
+
+@spaces.GPU(duration=120)
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+    top_k,
+    repeat_penalty,
+    model,
+):
+    chat_template = get_messages_formatter_type(model)
+
+    llm = Llama(
+        model_path=f"models/{model}",
+        flash_attn=True,
+        n_threads=40,
+        n_gpu_layers=81,
+        n_batch=1024,
+        n_ctx=8192,
+    )
+    provider = LlamaCppPythonProvider(llm)
+
+    agent = LlamaCppAgent(
+        provider,
+        system_prompt=f"{system_message}",
+        predefined_messages_formatter_type=chat_template,
+        debug_output=True
+    )
+    
+    settings = provider.get_provider_default_settings()
+    settings.temperature = temperature
+    settings.top_k = top_k
+    settings.top_p = top_p
+    settings.max_tokens = max_tokens
+    settings.repeat_penalty = repeat_penalty
+    settings.stream = True
+
+    messages = BasicChatHistory()
+
+    for msn in history:
+        user = {
+            'role': Roles.user,
+            'content': msn[0]
+        }
+        assistant = {
+            'role': Roles.assistant,
+            'content': msn[1]
+        }
+        messages.add_message(user)
+        messages.add_message(assistant)
+    
+    stream = agent.get_chat_response(
+        message,
+        llm_sampling_settings=settings,
+        chat_history=messages,
+        returns_streaming_generator=True,
+        print_output=False
+    )
+    
+    outputs = ""
+    for output in stream:
+        outputs += output
+        yield outputs
+
+PLACEHOLDER = """
+<div class="message-bubble-border" style="display:flex; max-width: 600px; border-radius: 8px; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); backdrop-filter: blur(10px);">
+    <div style="padding: .5rem 1.5rem;">
+        <h2 style="text-align: left; font-size: 1.5rem; font-weight: 700; margin-bottom: 0.5rem;">Chat with CausalLM 34B (8-bit GGUF)</h2>
+        <p style="text-align: left; font-size: 16px; line-height: 1.5; margin-bottom: 15px;">You can try different models from CausalLM here.<br>Running on NVIDIA A100-SXM4-80GB MIG 3g.40gb with Zero-GPU from Hugging Face.</p>
+    </div>
+</div>
+"""
+
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value="You are a helpful assistant.", label="System message"),
+        gr.Slider(minimum=1, maximum=8192, value=2048, step=1, label="Max tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p",
+        ),
+        gr.Slider(
+            minimum=0,
+            maximum=100,
+            value=40,
+            step=1,
+            label="Top-k",
+        ),
+        gr.Slider(
+            minimum=0.0,
+            maximum=2.0,
+            value=1,
+            step=0.1,
+            label="Repetition penalty",
+        ),
+        gr.Dropdown([
+                'myCauslLM-34b-beta-v0.1-q8.gguf',
+                '35b-beta-long-Q6_K.gguf',
+            ],
+            value="myCauslLM-34b-beta-v0.1-q8.gguf",
+            label="Model"
+        ),
+    ],
+    theme=gr.themes.Soft(primary_hue="violet", secondary_hue="violet", neutral_hue="gray",font=[gr.themes.GoogleFont("Exo"), "ui-sans-serif", "system-ui", "sans-serif"]).set(
+        body_background_fill_dark="#16141c",
+        block_background_fill_dark="#16141c",
+        block_border_width="1px",
+        block_title_background_fill_dark="#1e1c26",
+        input_background_fill_dark="#292733",
+        button_secondary_background_fill_dark="#24212b",
+        border_color_primary_dark="#343140",
+        background_fill_secondary_dark="#16141c",
+        color_accent_soft_dark="transparent"
+    ),
+    css=css,
+    retry_btn="Retry",
+    undo_btn="Undo",
+    clear_btn="Clear",
+    submit_btn="Send",
+    description="Chat with CausalLM 34B (8-bit GGUF)",
+    chatbot=gr.Chatbot(scale=1, placeholder=PLACEHOLDER)
+)
+
+if __name__ == "__main__":
+    demo.launch()