add app from https://github.com/ise-uiuc/magicoder/blob/main/demo

app.py

@@ -0,0 +1,53 @@
+import gradio as gr
+import argparse
+import os
+import json
+from vllm import LLM, SamplingParams
+
+
+def parse_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--base_model", type=str)  # model path
+    parser.add_argument("--n_gpus", type=int, default=1)  # n_gpu
+    return parser.parse_args()
+
+def predict(message, history, system_prompt, temperature, max_tokens):
+    instruction = "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. "
+    for human, assistant in history:
+        instruction += 'USER: '+ human + ' ASSISTANT: '+ assistant + '</s>'
+    instruction += 'USER: '+ message + ' ASSISTANT:'
+    problem = [instruction]
+    stop_tokens = ["USER:", "USER", "ASSISTANT:", "ASSISTANT"]
+    sampling_params = SamplingParams(temperature=temperature, top_p=1, max_tokens=max_tokens, stop=stop_tokens)
+    completions = llm.generate(problem, sampling_params)
+    for output in completions:
+        prompt = output.prompt
+        print('==========================question=============================')
+        print(prompt)
+        generated_text = output.outputs[0].text
+        print('===========================answer=============================')
+        print(generated_text)
+        for idx in range(len(generated_text)):
+                yield generated_text[:idx+1]
+
+
+if __name__ == "__main__":
+    args = parse_args()
+    llm = LLM(model=args.base_model, tensor_parallel_size=args.n_gpus)
+    gr.ChatInterface(
+        predict,
+        title="LLM playground - WizardLM-13B-V1.2",
+        description="This is a LLM playground for WizardLM-13B-V1.2, github: https://github.com/nlpxucan/WizardLM, huggingface: https://huggingface.co/WizardLM",
+        theme="soft",
+        chatbot=gr.Chatbot(height=1400, label="Chat History",),
+        textbox=gr.Textbox(placeholder="input", container=False, scale=7),
+        retry_btn=None,
+        undo_btn="Delete Previous",
+        clear_btn="Clear",
+        additional_inputs=[
+            gr.Textbox("A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.", label="System Prompt"),
+            gr.Slider(0, 1, 0.9, label="Temperature"),
+            gr.Slider(100, 2048, 1024, label="Max Tokens"),
+        ],
+        additional_inputs_accordion_name="Parameters",
+    ).queue().launch(share=False, server_port=7870)