fixed plot

app.py

@@ -134,7 +134,8 @@ if selected_model == 'Cas9':
 
                     gbk = Genbank(genbank_file_path)
                     track = gv.add_feature_track(gbk.name, gbk.range_size)
-                    track.add_genbank_features(gbk)
+                    # Make sure you are adding features of the type that are present in your GenBank file
+                    track.add_genbank_features(gbk, feature_types=["misc_feature"])  # Specify feature types if needed
 
                     fig = gv.plotfig()
                     st.pyplot(fig)

cas9on.py

@@ -128,11 +128,8 @@ def process_gene(gene_symbol, model_path):
 def create_genbank_features(gRNAs, predictions):
     features = []
     for gRNA, prediction in zip(gRNAs, predictions):
-        # Assuming gRNA structure: [Target Seq, Chrom, Start Pos, End Pos, Strand]
-        # And prediction is a single floating point value
         location = FeatureLocation(start=gRNA[2], end=gRNA[3], strand=gRNA[4])
-        # Creating a feature with type 'CDS' just as an example, change as appropriate
-        feature = SeqFeature(location=location, type="CDS", qualifiers={
+        feature = SeqFeature(location=location, type="misc_feature", qualifiers={
             'label': gRNA[0],  # Target sequence as label
             'note': f"Prediction: {prediction}"  # Prediction score in note
         })