Update app.py

app.py

@@ -20,20 +20,19 @@ subprocess.run(
 DESCRIPTION = """\
 # Phi-3-mini-4k-instruct
 
-This Space demonstrates [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) by Microsoft. Please, check the original model card for details.
-
-For additional detail on the model, including a link to the arXiv paper, refer to the [Hugging Face Paper page for Phi 3](https://huggingface.co/papers/2404.14219) .
+This Space demonstrates the open source [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) model.
+- refer to the [Hugging Face Paper page for Phi 3](https://huggingface.co/papers/2404.14219) for more info.
 """
 
 token = os.environ["HF_TOKEN"]
 
 
 model = AutoModelForCausalLM.from_pretrained(
-    "microsoft/Phi-3-mini-128k-instruct",
+    "microsoft/Phi-3-mini-4k-instruct",
     token=token,
     trust_remote_code=True,
 )
-tok = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-128k-instruct", token=token)
+tok = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-4k-instruct", token=token)
 terminators = [
     tok.eos_token_id,
 ]
@@ -87,7 +86,10 @@ def chat(message, history, temperature, do_sample, max_tokens):
 
 demo = gr.ChatInterface(
     fn=chat,
-    examples=[["Write me a poem about Machine Learning."]],
+    examples=[
+        ["Explain quantum physics in 5 words or less:"],
+        ["Question: What do you call a bear with no teeth?\nAnswer:"],
+    ],
     # multimodal=False,
     additional_inputs_accordion=gr.Accordion(
         label="⚙️ Parameters", open=False, render=False
@@ -107,7 +109,7 @@ demo = gr.ChatInterface(
         ),
     ],
     stop_btn="Stop Generation",
-    title="Chat With LLMs",
+    title="Chat with Microsoft PHI",
     description=DESCRIPTION,
 )
 demo.launch()