Update app.py

app.py

@@ -202,10 +202,9 @@ def run(message: dict, history: list[dict], system_prompt: str = "", max_new_tok
         inputs,
         max_new_tokens=max_new_tokens,
         streamer=streamer,
-        temperature=1.0,
-        top_p=0.95,
-        top_k=64,
-        min_p=0.0,
+        temperature=0.7,
+        top_p=1,
+        repetition_penalty=1,
     )
     t = Thread(target=model.generate, kwargs=generate_kwargs)
     t.start()
@@ -217,8 +216,8 @@ def run(message: dict, history: list[dict], system_prompt: str = "", max_new_tok
 
 
 DESCRIPTION = """\
-This is a demo of MedGemma, a Gemma 3 variant trained for performance on medical text and image comprehension.
-You can upload images, interleaved images and videos. Note that video input only supports single-turn conversation and mp4 input.
+This is a demo of Lingshu 32B, a multimodal model trained for performance on medical text and image comprehension.
+Lingshu supports more than 12 medical imaging modalities, including X-Ray, CT Scan, MRI, Microscopy, Ultrasound, Histopathology, Dermoscopy, Fundus, OCT, Digital Photography, Endoscopy, and PET.
 """
 
 demo = gr.ChatInterface(
@@ -232,7 +231,7 @@ demo = gr.ChatInterface(
         gr.Slider(label="Max New Tokens", minimum=100, maximum=8192, step=10, value=2048),
     ],
     stop_btn=False,
-    title="MedGemma 4B IT",
+    title="Lingshu 32B",
     description=DESCRIPTION,
     run_examples_on_click=False,
     cache_examples=False,