Cleanup readme, llava examples, usage examples and nccl init (#1194)

examples/frontend_language/quick_start/local_example_complete.py

@@ -0,0 +1,70 @@
+"""
+Usage:
+python3 local_example_complete.py
+"""
+
+import sglang as sgl
+
+
+@sgl.function
+def few_shot_qa(s, question):
+    s += """The following are questions with answers.
+Q: What is the capital of France?
+A: Paris
+Q: What is the capital of Germany?
+A: Berlin
+Q: What is the capital of Italy?
+A: Rome
+"""
+    s += "Q: " + question + "\n"
+    s += "A:" + sgl.gen("answer", stop="\n", temperature=0)
+
+
+def single():
+    state = few_shot_qa.run(question="What is the capital of the United States?")
+    answer = state["answer"].strip().lower()
+
+    assert "washington" in answer, f"answer: {state['answer']}"
+
+    print(state.text())
+
+
+def stream():
+    state = few_shot_qa.run(
+        question="What is the capital of the United States?", stream=True
+    )
+
+    for out in state.text_iter("answer"):
+        print(out, end="", flush=True)
+    print()
+
+
+def batch():
+    states = few_shot_qa.run_batch(
+        [
+            {"question": "What is the capital of the United States?"},
+            {"question": "What is the capital of China?"},
+        ]
+    )
+
+    for s in states:
+        print(s["answer"])
+
+
+if __name__ == "__main__":
+    runtime = sgl.Runtime(model_path="meta-llama/Llama-2-7b-chat-hf")
+    sgl.set_default_backend(runtime)
+
+    # Run a single request
+    print("\n========== single ==========\n")
+    single()
+
+    # Stream output
+    print("\n========== stream ==========\n")
+    stream()
+
+    # Run a batch of requests
+    print("\n========== batch ==========\n")
+    batch()
+
+    runtime.shutdown()