Update app.py

app.py

@@ -9,6 +9,9 @@ import matplotlib.pyplot as plt
 from io import BytesIO, StringIO
 import base64
 import json
+from gradio_client import Client
+
+
 AA_str = 'ACDEFGHIKLMNPQRSTVWY*-'.lower()
 
 AA_TO_CODONS = {"F": ["TTT","TTC"],
@@ -191,10 +194,10 @@ def design_mrna(utr5_file, utr3_file, cds_seq, status_update):
     status_update("🔄 Designing mRNA sequences...")
     
     # 默认UTR候选序列
-    default_utr5 = ["ACUGAACGACUAGACCAGCUCCAACCCAGCUCGAGUCGACGCCACC", 
+    default_utr5 = ["GGGAAAUAAGAGAGAAAAGAAGAGUAAGAAGAAAUAUAAGAGCCACCAUGG", 
                     "GGGAAAUAAGAGAGAAAAGAAGAGUAAGAAGAAAUAUAAGAGCCACCAUGG"]
     default_utr3 = ["AAUAAAGCUUUUGCUUUUGUGGUGAAAUUGUUAAUAAACUAUUUUUUUUUU",
-                    "GCUGGCUUCCCUGCUGUCCAAUAUAUACUCGAGCCCCUGGAUCACGACUUCUAUGGAGAAUUUGUUUACGUUGCUA"]
+                    "AAUAAAGCUUUUGCUUUUGUGGUGAAAUUGUUAAUAAACUAUUUUUUUUUU"]
     
     # 生成20个设计结果示例
     designs = []
@@ -328,6 +331,7 @@ class MaoTaoWeb:
             self.mrna_annotation_tab()
             self.cds_optimization_tab()
             self.mrna_design_tab()
+            self.rpcontact_tab()
             self.resources_tab()
 
         return app
@@ -591,7 +595,17 @@ class MaoTaoWeb:
                 inputs=design_results,
                 outputs=mrna_download_file
             )
-
+    def rpcontact_tab(self):
+        with gr.Tab("Interact"):
+            # https://julse-rpcontact.hf.space/
+            gr.Markdown("## RNA-protein Contact Map")
+            with gr.Row():
+                client = Client("julse/RPcontact")
+                result = client.predict(
+                    method="Upload FASTA File",
+                    api_name="/toggle_inputs"
+                )
+                print(result)
     def resources_tab(self):
         with gr.Tab("📚 Resources"):
             gr.Markdown("## Bioinformatics Resources")