clean_sample_code (#36)

- remove useless sample code (5bbaa42f12e926c3ce90d4ce4113e4566d8c16b5)


Co-authored-by: Haiping Wu <haipingwu@users.noreply.huggingface.co>

sample_inference.py

@@ -18,7 +18,6 @@ assistant_prompt = '<|assistant|>\n'
 prompt_suffix = "<|end|>\n"
 
 #################################################### text-only ####################################################
-# single-image prompt
 prompt = f"{user_prompt}what is the answer for 1+1? Explain it.{prompt_suffix}{assistant_prompt}"
 print(f">>> Prompt\n{prompt}")
 inputs = processor(prompt, images=None, return_tensors="pt").to("cuda:0")
@@ -33,7 +32,6 @@ response = processor.batch_decode(generate_ids,
 print(f'>>> Response\n{response}')
 
 #################################################### text-only 2 ####################################################
-# single-image prompt
 prompt = f"{user_prompt}Give me the code for sloving two-sum problem.{prompt_suffix}{assistant_prompt}"
 print(f">>> Prompt\n{prompt}")
 inputs = processor(prompt, images=None, return_tensors="pt").to("cuda:0")
@@ -66,25 +64,6 @@ response = processor.batch_decode(generate_ids,
 print(f'>>> Response\n{response}')
 
 #################################################### EXAMPLE 2 ####################################################
-# multiple image prompt
-# Note: image tokens must start from <|image_1|> 
-prompt = f"{user_prompt}<|image_1|>\n<|image_2|>\n What is shown in this two images?{prompt_suffix}{assistant_prompt}"
-print(f">>> Prompt\n{prompt}")
-url = "https://www.ilankelman.org/stopsigns/australia.jpg"
-image_1 = Image.open(requests.get(url, stream=True).raw)
-url = "https://img.freepik.com/free-photo/painting-mountain-lake-with-mountain-background_188544-9126.jpg?w=2000"
-image_2 = Image.open(requests.get(url, stream=True).raw)
-images = [image_1, image_2]
-inputs = processor(prompt, images, return_tensors="pt").to("cuda:0")
-generate_ids = model.generate(**inputs, 
-                              max_new_tokens=1000,
-                              eos_token_id=processor.tokenizer.eos_token_id,
-                              )
-generate_ids = generate_ids[:, inputs['input_ids'].shape[1]:]
-response = processor.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
-print(f'>>> Response\n{response}')
-
-#################################################### EXAMPLE 3 ####################################################
 # chat template
 chat = [
     {"role": "user", "content": "<|image_1|>\nWhat is shown in this image?"},