Create app.py

app.py

@@ -1,159 +1,8 @@
-import spaces
-import json
-import subprocess
-from llama_cpp import Llama
-from llama_cpp_agent import LlamaCppAgent, MessagesFormatterType
-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="bartowski/gemma-2-9b-it-GGUF",
-    filename="gemma-2-9b-it-Q5_K_M.gguf",
-    local_dir="./models"
-)
+def greet(name):
+    return "Hello " + name + "!"
 
-
-
-hf_hub_download(
-    repo_id="bartowski/gemma-2-27b-it-GGUF",
-    filename="gemma-2-27b-it-Q5_K_M.gguf",
-    local_dir="./models"
-)
-
-
-llm = None
-llm_model = None
-
-@spaces.GPU(duration=120)
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    model,
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    top_k,
-    repeat_penalty,
-):
-    chat_template = MessagesFormatterType.GEMMA_2
-
-    global llm
-    global llm_model
-    
-    if llm is None or llm_model != model:
-        llm = Llama(
-            model_path=f"models/{model}",
-            flash_attn=True,
-            n_gpu_layers=81,
-            n_batch=1024,
-            n_ctx=8192,
-        )
-        llm_model = model
-
-    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)
+demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
     
-    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
-
-description = """<p align="center">Defaults to 27B it (you can switch to 9b it from additional inputs)</p>
-<p><center>
-<a href="https://huggingface.co/google/gemma-2-27b-it" target="_blank">[27B it Model]</a>
-<a href="https://huggingface.co/google/gemma-2-9b-it" target="_blank">[9B it Model]</a>
-<a href="https://huggingface.co/bartowski/gemma-2-27b-it-GGUF" target="_blank">[27B it Model GGUF]</a>
-<a href="https://huggingface.co/bartowski/gemma-2-9b-it-GGUF" target="_blank">[9B it Model GGUF]</a>
-</center></p>
-"""
-
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Dropdown([
-                'gemma-2-9b-it-Q5_K_M.gguf',
-                'gemma-2-27b-it-Q5_K_M.gguf'
-            ],
-            value="gemma-2-27b-it-Q5_K_M.gguf",
-            label="Model"
-        ),
-        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",
-        ),
-    ],
-    retry_btn="Retry",
-    undo_btn="Undo",
-    clear_btn="Clear",
-    submit_btn="Send",
-    title="Chat with Gemma 2 using llama.cpp", 
-    description=description,
-    chatbot=gr.Chatbot(
-        scale=1, 
-        likeable=False,
-        show_copy_button=True
-    )
-)
-
-if __name__ == "__main__":
-    demo.launch()
+demo.launch(share=True)  # Share your demo with just 1 extra parameter 🚀