Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -7,7 +7,6 @@ import os
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import sys
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import time
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import spaces
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-
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import gradio as gr
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import torch
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from PIL import Image
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@@ -18,7 +17,6 @@ from transformers import (
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LlavaOnevisionForConditionalGeneration
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)
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from qwen_vl_utils import process_vision_info
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from taxonomy import policy_v1
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# Set up logging
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@@ -92,11 +90,28 @@ class SimpleConversation:
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def dict(self):
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# Simplified serialization for logging
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image_info = "[WITH_IMAGE]" if self.current_image is not None else "[NO_IMAGE]"
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return {
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"prompt":
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"image": image_info,
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"response": self.current_response,
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"messages":
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}
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def copy(self):
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import sys
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import time
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import spaces
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import gradio as gr
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import torch
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from PIL import Image
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LlavaOnevisionForConditionalGeneration
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)
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from qwen_vl_utils import process_vision_info
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from taxonomy import policy_v1
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# Set up logging
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def dict(self):
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# Simplified serialization for logging
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image_info = "[WITH_IMAGE]" if self.current_image is not None else "[NO_IMAGE]"
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# Handle prompt which might be a tuple containing an image
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prompt = self.get_prompt()
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if isinstance(prompt, tuple):
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prompt = prompt[0] # Just take the text part
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# Create JSON-safe message representations
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safe_messages = []
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for msg in self.messages:
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msg_prompt = msg[0]
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# Handle tuple prompts that contain images
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if isinstance(msg_prompt, tuple) and len(msg_prompt) > 0:
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msg_prompt = msg_prompt[0] # Take just the text part
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# Add the message with safe values
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safe_messages.append([msg_prompt, "[RESPONSE]" if msg[1] else None])
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return {
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"prompt": prompt,
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"image": image_info,
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"response": self.current_response,
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"messages": safe_messages
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}
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def copy(self):
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