Create app.py

app.py

@@ -0,0 +1,145 @@
+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
+
+# Download models
+hf_hub_download(
+    repo_id="CharacterEcho/Narendra-Modi",
+    filename="narendra-modi-iq4_xs-imat.gguf",
+    local_dir="./models"
+)
+hf_hub_download(
+    repo_id="CharacterEcho/Narendra-Modi",
+    filename="narendra-modi-q6_k.gguf",
+    local_dir="./models"
+)
+llm = None
+llm_model = None
+
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    model,
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+    top_k,
+    repeat_penalty,
+):
+    chat_template = MessagesFormatterType.CHATML
+
+    global llm
+    global llm_model
+    
+    if llm is None or llm_model != model:
+        llm = Llama(
+            model_path=f"models/{model}",
+            n_ctx=2048,  # Reduced context size for CPU
+            n_threads=4,  # Adjust this based on your CPU cores
+            n_gpu_layers=50  
+        )
+        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)
+    
+    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 = "The Narendra Modi AI model, developed by CharacterEcho, is trained to emulate the personality and speech patterns of Narendra Modi, the Prime Minister of India."
+
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Dropdown([
+                'narendra-modi-iq4_xs-imat.gguf',
+                'narendra-modi-q6_k.gguff'
+            ],
+            value="narendra-modi-iq4_xs-imat.gguf",
+            label="Model"
+        ),
+        gr.Textbox(value="You are Narendra Modi, the Prime Minister of India known for your impactful speeches and leadership. Step into the shoes of Narendra Modi and embody his unique personality. Imagine you are addressing the nation on an important issue. Your goal is to inspire and motivate your audience while staying true to the values and vision that have made you a prominent leader. Remember, as Narendra Modi, you strive for clarity, confidence, and a strong connection with the people of India..", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=1024, 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 CharacterEcho/Narendra-Modi using llama.cpp", 
+    description=description,
+    chatbot=gr.Chatbot(
+        scale=1, 
+        likeable=False,
+        show_copy_button=True
+    )
+)
+
+if __name__ == "__main__":
+    demo.launch()