Create app.py

app.py

@@ -0,0 +1,44 @@
+import gradio as gr
+from llama_cpp import Llama
+
+llm = Llama(
+    model_path="AstroSage-8B-Q8_0.gguf",
+    n_ctx=2048,
+    n_threads=4,
+    seed=42,
+    f16_kv=True,
+    logits_all=False,
+    use_mmap=True,
+    use_gpu=True
+)
+
+def respond(message, history, system_message, max_tokens, temperature, top_p):
+    messages = [{"role": "system", "content": system_message}]
+    for user_msg, assistant_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if assistant_msg:
+            messages.append({"role": "assistant", "content": assistant_msg})
+    messages.append({"role": "user", "content": message})
+    
+    response = llm.generate_chat(
+        messages,
+        max_tokens=max_tokens,
+        temperature=temperature,
+        top_p=top_p
+    )
+    
+    return response
+
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value="Assume the role of AstroSage, a helpful chatbot designed to answer user queries about astronomy, astrophysics, and cosmology.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new 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 (nucleus sampling)"),
+    ]
+)
+
+if __name__ == "__main__":
+    demo.launch()