Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 # Load the model and tokenizer
-model_name = "wanglab/ClinicalCamel-70B"
+model_name = "Flmc/DISC-MedLLM"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
 
@@ -14,7 +14,7 @@ def generate_response(input_text):
     return response
 
 # Gradio interface
-iface = gr.Interface(fn=generate_response, inputs="text", outputs="text", title="ClinicalCamel-70B Assistant")
+iface = gr.Interface(fn=generate_response, inputs="text", outputs="text", title="Flmc/DISC-MedLLM")
 
 if __name__ == "__main__":
     iface.launch()