Mubbashir Ahmed
commited on
Commit
·
7e42f7f
1
Parent(s):
dfdfb4b
initials
Browse files- app.py +53 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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from transformers import AutoProcessor, Llama4ForConditionalGeneration
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import torch
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model_id = "meta-llama/Llama-4-Maverick-17B-128E-Instruct"
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processor = AutoProcessor.from_pretrained(model_id)
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model = Llama4ForConditionalGeneration.from_pretrained(
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model_id,
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attn_implementation="flex_attention",
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device_map="auto",
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torch_dtype=torch.bfloat16,
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)
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def analyze_images(image1, image2, question):
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "image", "image": image1},
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{"type": "image", "image": image2},
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{"type": "text", "text": question}
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]
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}
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]
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inputs = processor.apply_chat_template(
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messages,
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add_generation_prompt=True,
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tokenize=True,
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return_dict=True,
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return_tensors="pt",
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).to(model.device)
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outputs = model.generate(
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**inputs,
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max_new_tokens=256,
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)
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response = processor.batch_decode(outputs[:, inputs["input_ids"].shape[-1]:])[0]
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return response.strip()
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gr.Interface(
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fn=analyze_images,
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inputs=[
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gr.Image(type="pil", label="Image 1"),
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gr.Image(type="pil", label="Image 2"),
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gr.Textbox(lines=2, label="Your Question"),
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],
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outputs="text",
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title="LLaMA 4 Multimodal Visual Q&A",
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description="Upload two images and ask a question — powered by LLaMA 4"
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).launch()
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requirements.txt
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transformers>=4.41.0
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torch>=2.2.0
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gradio>=4.24.0
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