Update LLMPipeline.py

LLMPipeline.py

@@ -103,11 +103,13 @@ model = AutoModelForCausalLM.from_pretrained(checkpoint).to(device)
 # print(tokenizer.decode(outputs[0]))
 
 def generate_image_prompt(summary):
+    print('SUMMARY:', summary)
     system_prompt_rewrite = "You are a creative meme prompt generator. Create a visual prompt to generate a meme of a message. Do not return any text other than the new prompt."
     user_prompt_rewrite = "Create a visual meme prompt from the message. Keep its main point.\nThe message:"
     messages = [{"role": "system", "content": system_prompt_rewrite}, {"role": "user", "content":f"{user_prompt_rewrite} {summary}"}]
     input_text=tokenizer.apply_chat_template(messages, tokenize=False)
     inputs = tokenizer.encode(input_text, return_tensors="pt").to(device)
     outputs = model.generate(inputs, max_new_tokens=500, temperature=0.2, top_p=0.9, do_sample=True)
+    print('RESUMIDO')
     return tokenizer.decode(outputs[0])