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Update app.py
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app.py
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@@ -5,6 +5,7 @@ import gradio as gr
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from threading import Thread
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from PIL import Image
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import subprocess
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# Install flash-attention
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subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True)
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@@ -46,6 +47,7 @@ vision_model = AutoModelForCausalLM.from_pretrained(
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vision_processor = AutoProcessor.from_pretrained(VISION_MODEL_ID, trust_remote_code=True)
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# Helper functions
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def stream_text_chat(message, history, system_prompt, temperature=0.8, max_new_tokens=1024, top_p=1.0, top_k=20):
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conversation = [{"role": "system", "content": system_prompt}]
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for prompt, answer in history:
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@@ -78,6 +80,7 @@ def stream_text_chat(message, history, system_prompt, temperature=0.8, max_new_t
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buffer += new_text
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yield buffer
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def process_vision_query(image, text_input):
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prompt = f"<|user|>\n<|image_1|>\n{text_input}<|end|>\n<|assistant|>\n"
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image = Image.fromarray(image).convert("RGB")
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from threading import Thread
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from PIL import Image
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import subprocess
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import spaces # Add this import
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# Install flash-attention
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subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True)
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vision_processor = AutoProcessor.from_pretrained(VISION_MODEL_ID, trust_remote_code=True)
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# Helper functions
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@spaces.GPU # Add this decorator
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def stream_text_chat(message, history, system_prompt, temperature=0.8, max_new_tokens=1024, top_p=1.0, top_k=20):
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conversation = [{"role": "system", "content": system_prompt}]
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for prompt, answer in history:
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buffer += new_text
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yield buffer
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@spaces.GPU # Add this decorator
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def process_vision_query(image, text_input):
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prompt = f"<|user|>\n<|image_1|>\n{text_input}<|end|>\n<|assistant|>\n"
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image = Image.fromarray(image).convert("RGB")
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