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Runtime error
Runtime error
Amovane
commited on
Commit
·
54cb205
1
Parent(s):
525bf1c
feat: text to image
Browse files- .gitignore +2 -0
- app.ipynb +87 -0
- app.py +22 -0
- requirements.txt +84 -0
.gitignore
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venv
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.env
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app.ipynb
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@@ -0,0 +1,87 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:7861\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": []
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import os\n",
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"import gradio as gr\n",
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"import requests\n",
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"%env OPENAI_KEY\n",
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"openai_key = os.getenv(\"OPENAI_KEY\")\n",
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"\n",
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"def ganerate(prompt):\n",
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" n = 1\n",
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" size = \"512x512\"\n",
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" data = {\"n\": n, \"prompt\": prompt, \"size\": size}\n",
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" headers = {\"Content-Type\": \"application/json\",\n",
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" \"Authorization\": f\"\"\"Bearer {openai_key}\"\"\"}\n",
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" result = requests.post(\n",
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" \"https://api.openai.com/v1/images/generations\", json=data, headers=headers)\n",
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" return result.json()[\"data\"][0][\"url\"]\n",
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"\n",
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"iface = gr.Interface(\n",
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" fn=ganerate,\n",
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" inputs=[\n",
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" gr.Textbox(placeholder=\"Prompt\", label=\"Prompt\"),\n",
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" ],\n",
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" outputs=\"image\")\n",
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"iface.launch()\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.2"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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app.py
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import os
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import gradio as gr
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import requests
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openai_key = os.getenv("OPENAI_KEY")
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def ganerate(prompt):
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n = 1
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size = "512x512"
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data = {"n": n, "prompt": prompt, "size": size}
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headers = {"Content-Type": "application/json",
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"Authorization": f"""Bearer {openai_key}"""}
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result = requests.post(
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"https://api.openai.com/v1/images/generations", json=data, headers=headers)
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return result.json()["data"][0]["url"]
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iface = gr.Interface(
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fn=ganerate,
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inputs=[
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gr.Textbox(placeholder="Prompt", label="Prompt"),
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],
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outputs="image")
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iface.launch()
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requirements.txt
ADDED
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aiofiles==23.2.1
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altair==5.1.1
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annotated-types==0.5.0
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anyio==3.7.1
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appnope==0.1.3
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asttokens==2.4.0
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attrs==23.1.0
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backcall==0.2.0
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certifi==2023.7.22
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charset-normalizer==3.2.0
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click==8.1.7
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comm==0.1.4
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contourpy==1.1.0
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cycler==0.11.0
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debugpy==1.7.0
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decorator==5.1.1
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executing==1.2.0
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fastapi==0.103.1
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ffmpy==0.3.1
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filelock==3.12.3
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fonttools==4.42.1
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fsspec==2023.9.0
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gradio==3.43.2
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gradio_client==0.5.0
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h11==0.14.0
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httpcore==0.18.0
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httpx==0.25.0
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huggingface-hub==0.17.1
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idna==3.4
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importlib-resources==6.0.1
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ipykernel==6.25.2
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ipython==8.15.0
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jedi==0.19.0
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Jinja2==3.1.2
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jsonschema==4.19.0
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jsonschema-specifications==2023.7.1
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jupyter_client==8.3.1
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jupyter_core==5.3.1
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kiwisolver==1.4.5
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MarkupSafe==2.1.3
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matplotlib==3.7.3
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matplotlib-inline==0.1.6
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nest-asyncio==1.5.7
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numpy==1.25.2
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orjson==3.9.7
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packaging==23.1
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pandas==2.1.0
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parso==0.8.3
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pexpect==4.8.0
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pickleshare==0.7.5
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Pillow==10.0.0
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platformdirs==3.10.0
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prompt-toolkit==3.0.39
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psutil==5.9.5
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ptyprocess==0.7.0
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pure-eval==0.2.2
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pydantic==2.3.0
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pydantic_core==2.6.3
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pydub==0.25.1
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Pygments==2.16.1
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pyparsing==3.1.1
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python-dateutil==2.8.2
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python-multipart==0.0.6
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pytz==2023.3.post1
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PyYAML==6.0.1
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pyzmq==25.1.1
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referencing==0.30.2
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requests==2.31.0
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rpds-py==0.10.2
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semantic-version==2.10.0
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six==1.16.0
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sniffio==1.3.0
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stack-data==0.6.2
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starlette==0.27.0
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toolz==0.12.0
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tornado==6.3.3
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tqdm==4.66.1
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traitlets==5.9.0
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typing_extensions==4.7.1
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tzdata==2023.3
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urllib3==2.0.4
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uvicorn==0.23.2
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wcwidth==0.2.6
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websockets==11.0.3
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