Fix codes issues around playback

.vscode/launch.json

@@ -0,0 +1,17 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        
+
+        {
+            "name": "Python Debugger: Current File",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal"
+        }
+    ]
+}

app.py

@@ -19,13 +19,6 @@ with gr.Blocks(title="MIDI Jam Session") as demo:
     5. **""" + model_location_repo + """** - The MIDI is processed using a transformer model to generate new content based on your input
     6. **Listen to the result** - The generated MIDI content is played back
     
-    ## How it works
-    
-    - The frontend uses the **Web MIDI API** to capture live MIDI input
-    - After 5 seconds of inactivity, the recording is converted to a MIDI file using **@tonejs/midi**
-    - The backend receives the MIDI file and can process the midi however you like.
-    - In this case it uses a transformer model to generate new MIDI content based on the input
-    - The processed MIDI is sent back and played on your selected output device
     """)
     
     midi_session = MIDIBridge(

processor.py

@@ -58,7 +58,7 @@ class Processor:
                 input_ids = input_ids[-max_len:]
 
             tensor_sequence = torch.tensor([input_ids], dtype=torch.long)
-            print(f"Current tensor shape: {tensor_sequence.shape}")
+            print(f"input tensor shape: {tensor_sequence.shape}")
             input_token_length = tensor_sequence.shape[1]
 
             # Generate the new token sequence
@@ -67,12 +67,12 @@ class Processor:
                 generation_config=self.generation_config)
 
             print("Generated Output Shape", res.shape)
-            print(f"New tokens length: {input_token_length - res.shape[0]}")
+            print(f"New tokens length: {res.shape[1] - input_token_length}")
 
             # Decode the generated tokens (excluding the input part)
             decoded = self.tokenizer.decode([res[0][input_token_length:]])
             
-            return decoded.dump_midi()
+            return decoded.dumps_midi()
             
         except Exception as e:
             print(f"Error processing MIDI: {e}")