Update app.py

app.py

@@ -66,12 +66,12 @@ def predict(jobname, inputs, recycling_steps, sampling_steps, diffusion_samples)
                 sequences_for_msa.append(chain["sequence"])
                 sequence_data[entity_type]["msa"] = f"{jobname}/msa.a3m"
         if entity_type == "ligand":
-            if "sdf" in chains.keys():
+            if "sdf" in chain.keys():
                 raise gr.Error("Sorry no SDF support yet")
-            if "name" in chains.keys():
-                 sequence_data[entity_type]["ccd"] = chains["name"]
-            if "smiles" in chains.keys():
-                 sequence_data[entity_type]["smiles"] = chains["smiles"]
+            if "name" in chain.keys():
+                 sequence_data[entity_type]["ccd"] = chain["name"]
+            if "smiles" in chain.keys():
+                 sequence_data[entity_type]["smiles"] = chain["smiles"]
 
         if len(inputs["covMods"])>0:
             raise gr.Error("Sorry, covMods not supported yet. Coming soon. ")