Update app.py

app.py

@@ -1,28 +1,28 @@
-
-# Load model directly
-from transformers import pipeline
-import gradio as gr
-import torch
- 
-# Check if CUDA is available, otherwise use CPU
-device = "cuda" if torch.cuda.is_available() else "cpu"
-
-pipe = pipeline("text-generation", model="microsoft/BioGPT-Large", device=device)
-
-def question(message, history):
-
-
-    # Generate the response
-    response = pipe(message, max_length=200)[0]['generated_text'] 
-
-    return response
-
-#Description in Markdown
-description = 
-
-
-
-program = gr.ChatInterface(question,description=description,title="Microsoft BioGPT Large Chat")
-
-if __name__ == "__main__":
+
+# Load model directly
+from transformers import pipeline
+import gradio as gr
+import torch
+ 
+# Check if CUDA is available, otherwise use CPU
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+pipe = pipeline("text-generation", model="microsoft/BioGPT-Large", device=device)
+
+def question(message, history):
+
+
+    # Generate the response
+    response = pipe(message, max_length=200)[0]['generated_text'] 
+
+    return response
+
+#Description in Markdown
+description =""
+
+
+
+program = gr.ChatInterface(question,description=description,title="Microsoft BioGPT Large Chat")
+
+if __name__ == "__main__":
     program.launch()