Update app.py

app.py

@@ -10,7 +10,7 @@ hf_writer = gradio.HuggingFaceDatasetSaver(os.environ["HF_WRITE_TOKEN"], "fava-f
 # Fava prompt
 INPUT = "Read the following references:\n{evidence}\nPlease identify all the errors in the following text using the information in the references provided and suggest edits if necessary:\n[Text] {output}\n[Edited] "
 
-model = vllm.LLM(model="/fava-uw/fava-model") 
+model = vllm.LLM(model="fava-uw/fava-model") 
 def result(passage, reference):
     prompt = [INPUT.format_map({"evidence":reference, "output":passage})]
     print(prompt)