Update README.md

README.md

@@ -113,10 +113,13 @@ headers = {"Content-Type": "application/json", "Authorization": "Bearer token"}
 model = "mistralai/Mistral-Small-Instruct-2501"
 
 messages = [
-    {"role": "system", "content": "TODO"},
+    {
+        "role": "system",
+        "content": "You are a conversational agent that always answers straight to the point, always end your accurate response with an ASCII drawing of a cat."
+    },
     {
         "role": "user",
-        "content": "TODO"
+        "content": "Give me 5 non-formal ways to say 'See you later' in French."
     },
 ]
 
@@ -125,7 +128,19 @@ data = {"model": model, "messages": messages}
 response = requests.post(url, headers=headers, data=json.dumps(data))
 print(response.json()["choices"][0]["message"]["content"])
 
-###
+# Sure, here are five non-formal ways to say "See you later" in French:
+#
+# 1. À plus tard
+# 2. À plus
+# 3. Salut
+# 4. À toute
+# 5. Bisous
+#
+# ```
+#  /\_/\
+# ( o.o )
+#  > ^ <
+# ```
 ```
 
 #### Offline
@@ -135,9 +150,9 @@ from vllm import LLM
 from vllm.sampling_params import SamplingParams
 from datetime import datetime, timedelta
 
-SYSTEM_PROMPT = "TODO"
+SYSTEM_PROMPT = "You are a conversational agent that always answers straight to the point, always end your accurate response with an ASCII drawing of a cat."
 
-user_prompt = "TODO"
+user_prompt = "Give me 5 non-formal ways to say 'See you later' in French."
 
 messages = [
     {
@@ -158,8 +173,19 @@ sampling_params = SamplingParams(max_tokens=512)
 outputs = llm.chat(messages, sampling_params=sampling_params)
 
 print(outputs[0].outputs[0].text)
-
-###
+# Sure, here are five non-formal ways to say "See you later" in French:
+#
+# 1. À plus tard
+# 2. À plus
+# 3. Salut
+# 4. À toute
+# 5. Bisous
+#
+# ```
+#  /\_/\
+# ( o.o )
+#  > ^ <
+# ```
 ```
 
 ### Transformers (TODO)