Upload myinfer_latest.py

myinfer_latest.py

@@ -165,7 +165,7 @@ def api_convert_voice():
         print("audio splitting performed")
         vocal_path = f"output/{spk_id}_{unique_id}/{split_model}/{spk_id}_input_audio_{unique_id}/vocals.wav"
         inst = f"output/{spk_id}_{unique_id}/{split_model}/{spk_id}_input_audio_{unique_id}/no_vocals.wav"
-        
+         print("*****before making call to convert ", unique_id)
         output_path = convert_voice(spk_id, vocal_path, voice_transform,unique_id)
         output_path1= combine_vocal_and_inst(output_path,inst,unique_id)
         
@@ -199,6 +199,9 @@ def get_processed_audio(audio_id):
 
 def convert_voice(spk_id, input_audio_path, voice_transform,unique_id):
     get_vc(spk_id,0.5)
+    print("*****before makinf call to vc ", unique_id)
+
+   
     output_audio_path = vc_single(
         sid=0,
         input_audio_path=input_audio_path,
@@ -287,7 +290,8 @@ def vc_single(
     unique_id
 ):  # spk_item, input_audio0, vc_transform0,f0_file,f0method0
     global tgt_sr, net_g, vc, hubert_model, version, cpt
-    
+    print("***** in vc ", unique_id)
+
     try:
         logs = []
         print(f"Converting...")
@@ -331,9 +335,10 @@ def vc_single(
         print("writing to FS")
         #output_file_path = os.path.join("output", f"converted_audio_{sid}.wav")  # Adjust path as needed
         # Assuming 'unique_id' is passed to convert_voice function along with 'sid'
+        print("***** before writing to file outout ", unique_id)
         output_file_path = os.path.join("output", f"converted_audio_{sid}_{unique_id}.wav")  # Adjust path as needed
 
-        
+        print("******* output file path ",output_file_path)
         os.makedirs(os.path.dirname(output_file_path), exist_ok=True)  # Create the output directory if it doesn't exist
         print("create dir")
         # Save the audio file using the target sampling rate