chat init

README.md

@@ -1,13 +1,15 @@
 ---
 title: Chat
-emoji: 🐠
-colorFrom: gray
-colorTo: indigo
+emoji: 🗿
+colorFrom: red
+colorTo: purple
 sdk: gradio
 sdk_version: 4.31.5
 app_file: app.py
-pinned: false
+pinned: true
 license: apache-2.0
+header: mini
+fullWidth: true
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,181 @@
+import spaces
+import json
+import subprocess
+import gradio as gr
+from huggingface_hub import hf_hub_download
+
+subprocess.run('pip install llama-cpp-python==0.2.75 --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu124', shell=True)
+subprocess.run('pip install llama-cpp-agent==0.2.10', shell=True)
+
+hf_hub_download(
+    repo_id="bartowski/Meta-Llama-3-70B-Instruct-GGUF",
+    filename="Meta-Llama-3-70B-Instruct-Q3_K_M.gguf",
+    local_dir = "./models"
+)
+hf_hub_download(
+    repo_id="bartowski/Llama-3-8B-Synthia-v3.5-GGUF",
+    filename="Llama-3-8B-Synthia-v3.5-f16.gguf",
+    local_dir = "./models"
+)
+hf_hub_download(
+    repo_id="bartowski/Mistral-7B-Instruct-v0.3-GGUF",
+    filename="Mistral-7B-Instruct-v0.3-f32.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
+    if "Llama" in model_name:
+        return MessagesFormatterType.LLAMA_3
+    elif "Mistral" in model_name:
+        return MessagesFormatterType.MISTRAL
+    else:
+        raise ValueError(f"Unsupported model: {model_name}")
+
+@spaces.GPU(duration=120)
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+    top_k,
+    repeat_penalty,
+    model,
+):
+    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
+
+    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
+
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value="You are a helpful assistant.", label="System message"),
+        gr.Slider(minimum=1, maximum=4096, 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=1.1,
+            step=0.1,
+            label="Repetition penalty",
+        ),
+        gr.Dropdown([
+                'Meta-Llama-3-70B-Instruct-Q3_K_M.gguf',
+                'Llama-3-8B-Synthia-v3.5-f16.gguf',
+                'Mistral-7B-Instruct-v0.3-f32.gguf'
+            ],
+            value="Meta-Llama-3-70B-Instruct-Q3_K_M.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="Llama-cpp-agent: Chat multi llm selection"
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -0,0 +1,2 @@
+huggingface_hub==0.22.2
+scikit-build-core