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import json
import base64
import os, io
from PIL import Image
import gradio as gr
from gradio import processing_utils, utils
import openai
def import_history(history, file):
if os.path.getsize(file.name) > 100e6:
raise ValueError("History larger than 100 MB")
with open(file.name, mode="rb") as f:
content = f.read().decode('utf-8', 'replace')
import_data = json.loads(content)
# Handle different import formats
if 'messages' in import_data:
# New OpenAI-style format
messages = import_data['messages']
system_prompt_value = ''
chat_history = []
openai_history = []
msg_num = 1
for msg in messages:
if msg['role'] == 'system':
system_prompt_value = msg['content']
continue
if msg['role'] == 'user':
content = msg['content']
if isinstance(content, list):
for item in content:
if item.get('type', '') == 'image_url':
data_uri = item['image_url']['url']
img_bytes = base64.b64decode(data_uri.split(',')[1])
fname = f"img{msg_num}.webp"
cache_path = processing_utils.save_bytes_to_cache(img_bytes, fname, utils.get_upload_folder())
chat_history.append({
"role": msg['role'],
"content": {"path": cache_path}
})
openai_history.append({
"role": "user",
"content": [{
"type": "input_image",
"detail": "high",
"image_url": data_uri
}]
})
elif item.get('type', '') == 'file':
fname = os.path.basename(item['file'].get('name', f'download{msg_num}'))
file_data = base64.b64decode(item['file']['url'].split(',')[1])
if (len(file_data) > 15e6):
raise ValueError(f"file content `{fname}` larger than 15 MB")
cache_path = processing_utils.save_bytes_to_cache(file_data, fname, utils.get_upload_folder())
chat_history.append({
"role": msg['role'],
"content": {"path": cache_path}
})
openai_history.append({
"role": "user",
"content": [{
"type": "input_text",
"content": file_data
}]
})
else:
# untested - does not happen?
chat_history.append(item["content"])
openai_history.append({
"role": "user",
"content": item["content"]
})
else:
chat_history.append(msg)
openai_history.append({
"role": "user",
"content": content
})
elif msg['role'] == 'assistant':
chat_history.append(msg)
openai_history.append(openai.types.responses.ResponseOutputMessage(
id=f"msg_{msg_num}",
role="assistant",
content=[openai.types.responses.ResponseOutputText(type="output_text", text=msg['content'], annotations=[])],
status="completed",
type="message"
))
msg_num = msg_num + 1
else:
# Legacy format handling
if 'history' in import_data:
legacy_history = import_data['history']
system_prompt_value = import_data.get('system_prompt', '')
else:
legacy_history = import_data
system_prompt_value = ''
chat_history = []
openai_history = []
msg_num = 1
# Convert tuple/pair format to messages format
for pair in legacy_history:
if pair[0]: # User message
if isinstance(pair[0], dict) and 'file' in pair[0]:
if 'data' in pair[0]['file']:
# Legacy format with embedded data
file_data = pair[0]['file']['data']
mime_type = file_data.split(';')[0].split(':')[1]
if mime_type.startswith('image/'):
image_bytes = base64.b64decode(file_data.split(',')[1])
fname = 'legacy_img.webp'
cache_path = processing_utils.save_bytes_to_cache(image_bytes, fname, utils.get_upload_folder())
chat_history.append({
"role": "user",
"content": {"path": cache_path}
})
openai_history.append({
"role": "user",
"content": [{
"type": "input_image",
"detail": "high",
"image_url": file_data
}]
})
else:
fname = pair[0]['file'].get('name', 'download')
file_bytes = base64.b64decode(file_data.split(',')[1])
cache_path = processing_utils.save_bytes_to_cache(file_bytes, fname, utils.get_upload_folder())
chat_history.append({
"role": "user",
"content": {"path": cache_path}
})
openai_history.append({
"role": "user",
"content": [{
"type": "input_text",
"content": file_bytes
}]
})
else:
# Keep as-is but convert to message format
chat_history.append({
"role": "user",
"content": pair[0]
})
openai_history.append({
"role": "user",
"content": pair[0]
})
else:
chat_history.append({
"role": "user",
"content": pair[0]
})
openai_history.append({
"role": "user",
"content": pair[0]
})
if pair[1]: # Assistant message
chat_history.append({
"role": "assistant",
"content": pair[1]
})
openai_history.append(openai.types.responses.ResponseOutputMessage(
id=f"msg_{msg_num}",
role="assistant",
content=[openai.types.responses.ResponseOutputText(type="output_text", text=pair[1], annotations=[])],
status="completed",
type="message"
))
msg_num = msg_num + 1
return chat_history, system_prompt_value, openai_history
def get_export_js():
return """
async (chat_history, system_prompt) => {
let messages = [];
if (system_prompt) {
messages.push({
"role": "system",
"content": system_prompt
});
}
async function processFile(file_url) {
const response = await fetch(file_url);
const blob = await response.blob();
return new Promise((resolve) => {
const reader = new FileReader();
reader.onloadend = () => resolve({
data: reader.result,
type: blob.type
});
reader.onerror = (error) => resolve(null);
reader.readAsDataURL(blob);
});
}
for (let message of chat_history) {
if (!message.role || !message.content) continue;
if (message.content && typeof message.content === 'object') {
if (message.content.file) {
try {
const file_data = await processFile(message.content.file.url);
if (!file_data) continue;
if (file_data.type.startsWith('image/')) {
messages.push({
"role": message.role,
"content": [{
"type": "image_url",
"image_url": {
"url": file_data.data
}
}]
});
} else {
const fileLink = document.querySelector(`a[data-testid="chatbot-file"][download][href*="${message.content.file.url.split('/').pop()}"]`);
const fileName = fileLink ? fileLink.getAttribute('download') : (message.content.file.name || "download");
messages.push({
"role": message.role,
"content": [{
"type": "file",
"file": {
"url": file_data.data,
"name": fileName,
"mime_type": file_data.type
}
}]
});
}
} catch (error) {}
}
} else {
messages.push({
"role": message.role,
"content": message.content
});
}
}
const export_data = { messages };
const blob = new Blob([JSON.stringify(export_data)], {type: 'application/json'});
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = 'chat_history.json';
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
URL.revokeObjectURL(url);
}
""" |