add DebugInfo

app.py

@@ -33,6 +33,8 @@ def main(
         base_model
     ), "Please specify a --base_model, e.g. --base_model='decapoda-research/llama-7b-hf'"
 
+    DebugInfo=[] #this is mainly for debug 2023.08.25
+    
     prompter = Prompter(prompt_template)
     tokenizer = LlamaTokenizer.from_pretrained(base_model)
     if device == "cuda":
@@ -91,6 +93,8 @@ def main(
         max_new_tokens=256,
         **kwargs,
     ):
+        DebugInfo.append("1.Enter in evaluate.")#TBD 
+        
         prompt = prompter.generate_prompt(instruction, input)
         inputs = tokenizer(prompt, return_tensors="pt")
         input_ids = inputs["input_ids"].to(device)
@@ -111,7 +115,8 @@ def main(
             )
         s = generation_output.sequences[0]
         output = tokenizer.decode(s)
-        return prompter.get_response(output)
+        DebugInfo.append("2.Generate out decode completed.")#TBD 
+        return prompter.get_response(output),DebugInfo
 
     gr.Interface(
         fn=evaluate,
@@ -143,6 +148,11 @@ def main(
                 lines=5,
                 label="Output",
             )
+            ,
+             gr.inputs.Textbox(
+                lines=5,
+                label="DebugInfo",
+            )
         ],
         title="🦙🌲 Alpaca-LoRA",
         description="Alpaca-LoRA is a 7B-parameter LLaMA model finetuned to follow instructions. It is trained on the [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset and makes use of the Huggingface LLaMA implementation. For more information, please visit [the project's website](https://github.com/tloen/alpaca-lora).",  # noqa: E501