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| import subprocess | |
| # Installing flash_attn | |
| subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True) | |
| import gradio as gr | |
| from PIL import Image | |
| from transformers import AutoModelForCausalLM | |
| from transformers import AutoProcessor | |
| from transformers import TextIteratorStreamer | |
| import time | |
| from threading import Thread | |
| import torch | |
| import spaces | |
| model_id = "microsoft/Phi-3-vision-128k-instruct" | |
| model = AutoModelForCausalLM.from_pretrained(model_id, device_map="cuda", trust_remote_code=True, torch_dtype="auto") | |
| processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True) | |
| model.to("cuda:0") | |
| PLACEHOLDER = """ | |
| <div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;"> | |
| <img src="https://cdn-thumbnails.huggingface.co/social-thumbnails/models/microsoft/Phi-3-vision-128k-instruct.png" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55; "> | |
| <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">Microsoft's Phi3 Vision</h1> | |
| <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Phi-3-Vision is a 4.2B parameter multimodal model that brings together language and vision capabilities.</p> | |
| </div> | |
| """ | |
| def bot_streaming(message, history): | |
| print(f'message is - {message}') | |
| print(f'history is - {history}') | |
| if message["files"]: | |
| # message["files"][-1] is a Dict or just a string | |
| if type(message["files"][-1]) == dict: | |
| image = message["files"][-1]["path"] | |
| else: | |
| image = message["files"][-1] | |
| else: | |
| # if there's no image uploaded for this turn, look for images in the past turns | |
| # kept inside tuples, take the last one | |
| for hist in history: | |
| if type(hist[0]) == tuple: | |
| image = hist[0][0] | |
| try: | |
| if image is None: | |
| # Handle the case where image is None | |
| raise gr.Error("You need to upload an image for Phi3-Vision to work. Close the error and try again with an Image.") | |
| except NameError: | |
| # Handle the case where 'image' is not defined at all | |
| raise gr.Error("You need to upload an image for Phi3-Vision to work. Close the error and try again with an Image.") | |
| conversation = [] | |
| flag=False | |
| for user, assistant in history: | |
| if assistant is None: | |
| #pass | |
| flag=True | |
| conversation.extend([{"role": "user", "content":""}]) | |
| continue | |
| if flag==True: | |
| conversation[0]['content'] = f"<|image_1|>\n{user}" | |
| conversation.extend([{"role": "assistant", "content": assistant}]) | |
| flag=False | |
| continue | |
| conversation.extend([{"role": "user", "content": user}, {"role": "assistant", "content": assistant}]) | |
| if len(history) == 0: | |
| conversation.append({"role": "user", "content": f"<|image_1|>\n{message['text']}"}) | |
| else: | |
| conversation.append({"role": "user", "content": message['text']}) | |
| print(f"prompt is -\n{conversation}") | |
| prompt = processor.tokenizer.apply_chat_template(conversation, tokenize=False, add_generation_prompt=True) | |
| image = Image.open(image) | |
| inputs = processor(prompt, image, return_tensors="pt").to("cuda:0") | |
| streamer = TextIteratorStreamer(processor, **{"skip_special_tokens": True, "skip_prompt": True, 'clean_up_tokenization_spaces':False,}) | |
| generation_kwargs = dict(inputs, streamer=streamer, max_new_tokens=1024, do_sample=False, temperature=0.0, eos_token_id=processor.tokenizer.eos_token_id,) | |
| thread = Thread(target=model.generate, kwargs=generation_kwargs) | |
| thread.start() | |
| buffer = "" | |
| for new_text in streamer: | |
| buffer += new_text | |
| yield buffer | |
| chatbot=gr.Chatbot(scale=1, placeholder=PLACEHOLDER) | |
| chat_input = gr.MultimodalTextbox(interactive=True, file_types=["image"], placeholder="Enter message or upload file...", show_label=False) | |
| with gr.Blocks(fill_height=True, ) as demo: | |
| gr.ChatInterface( | |
| fn=bot_streaming, | |
| title="ChatGPTBots.net - Phi3 Vision 128K Instruct", | |
| examples=[{"text": "Describe the image in details?", "files": ["./robo.jpg"]}, | |
| {"text": "What does the chart display?", "files": ["./dataviz.png"]}, | |
| {"text": "What is 3?", "files": ["./setofmark1.jpg"]}, | |
| {"text": "Count the number of apples.", "files": ["./setofmark6.png"]}, | |
| {"text": "I want to find a seat close to windows, where can I sit?", "files": ["./office1.jpg"]}, | |
| ], | |
| description="Upload an image and start chatting about it, or simply try one of the examples below. If you won't upload an image, you will receive an error.", | |
| stop_btn="Stop Generation", | |
| multimodal=True, | |
| textbox=chat_input, | |
| chatbot=chatbot, | |
| cache_examples=False, | |
| examples_per_page=3 | |
| ) | |
| demo.queue() | |
| demo.launch(debug=True, quiet=True) | |