Update app.py

app.py

@@ -1,14 +1,14 @@
 import gradio as gr
-from file.Sort_Scores import *
-from file.Preinput_Merge import *
-from file.Sort_Dlkcat import *
-from file.Merge_Dlsc import *
-from file.Sort_Sco_Kcat import *
-from file.Plt import *
-# import sys
-# sys.path.append('../DLKcat/DeeplearningApproach/Code/example/')
+from Sort_Scores import *
+from Preinput_Merge import *
+from Sort_Dlkcat import *
+from Merge_Dlsc import *
+from Sort_Sco_Kcat import *
+from Plt import *
+import sys
+sys.path.append('/home/user/app/DLKcat/DeeplearningApproach/Code/example/')
 # from model import *
-from DLKcat.DeeplearningApproach.Code.prediction_for_input import *
+from prediction_for_input import *
 
 with gr.Blocks(css=".gradio-container {background-image: url('file=background.jpeg')}") as demo:
     gr.Markdown("Welcome using this demo.")
@@ -18,7 +18,7 @@ with gr.Blocks(css=".gradio-container {background-image: url('file=background.jp
         gr.Markdown("I think this demo can do some things")
         gr.Markdown("在sort里，可以对scores文件，dlkcat文件，以及合并后的scores与dlkcat文件进行排序")
         gr.Markdown("Pre Merge里，可以将序列文件与smi文件进行合并，合并后可以进行dlkcat值的计算，合并前若序列文件需要处理换行符也可以对其进行处理")
-        gr.Markdown("Merge Dlsc里，可以合并scores值文件和dlkcat文件，主义这两个文件序列需要一致")
+        gr.Markdown("Merge Dlsc里，可以合并scores值文件和dlkcat文件，注意这两个文件序列需要一致")
     with gr.Tab("Sort"):
         file1_input = gr.File(label="输入相关文件")
         file1_output = gr.File()
@@ -53,7 +53,7 @@ with gr.Blocks(css=".gradio-container {background-image: url('file=background.jp
     with gr.Tab("Test"):
         file6_input = gr.File(label="输入相关文件")
         file6_output = gr.File()
-        file6_button = gr.Button("test")
+        file6_button = gr.Button("Prediction_Dlkcat")
 
     with gr.Accordion("Open for More!"):
         gr.Markdown("Look at me...")
@@ -73,4 +73,4 @@ with gr.Blocks(css=".gradio-container {background-image: url('file=background.jp
     file6_button.click(test, inputs=file6_input, outputs=file6_output)
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()