Upload 2 files

requirements.txt

@@ -0,0 +1,427 @@
+absl-py==1.2.0
+aeppl==0.0.33
+aesara==2.7.9
+aiohttp==3.8.3
+aiosignal==1.2.0
+alabaster==0.7.12
+albumentations==1.2.1
+altair==4.2.0
+anyio==3.6.1
+appdirs==1.4.4
+arviz==0.12.1
+astor==0.8.1
+astropy==4.3.1
+astunparse==1.6.3
+async-timeout==4.0.2
+asynctest==0.13.0
+atari-py==0.2.9
+atomicwrites==1.4.1
+attrs==22.1.0
+audioread==3.0.0
+autograd==1.5
+Babel==2.10.3
+backcall==0.2.0
+bcrypt==4.0.1
+beautifulsoup4==4.6.3
+bleach==5.0.1
+blis==0.7.8
+bokeh==2.3.3
+branca==0.5.0
+bs4==0.0.1
+CacheControl==0.12.11
+cached-property==1.5.2
+cachetools==4.2.4
+catalogue==2.0.8
+certifi==2022.9.24
+cffi==1.15.1
+cftime==1.6.2
+chardet==3.0.4
+charset-normalizer==2.1.1
+click==7.1.2
+clikit==0.6.2
+cloudpickle==1.5.0
+cmake==3.22.6
+cmdstanpy==1.0.7
+colorcet==3.0.1
+colorlover==0.3.0
+community==1.0.0b1
+confection==0.0.2
+cons==0.4.5
+contextlib2==0.5.5
+convertdate==2.4.0
+crashtest==0.3.1
+crcmod==1.7
+cryptography==38.0.2
+cufflinks==0.17.3
+cvxopt==1.3.0
+cvxpy==1.2.1
+cycler==0.11.0
+cymem==2.0.6
+Cython==0.29.32
+daft==0.0.4
+dask==2022.2.0
+datascience==0.17.5
+debugpy==1.0.0
+decorator==4.4.2
+defusedxml==0.7.1
+descartes==1.1.0
+dill==0.3.5.1
+distributed==2022.2.0
+dlib==19.24.0
+dm-tree==0.1.7
+docutils==0.17.1
+dopamine-rl==1.0.5
+earthengine-api==0.1.326
+easydict==1.10
+ecos==2.0.10
+editdistance==0.5.3
+en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.0/en_core_web_sm-3.4.0-py3-none-any.whl
+entrypoints==0.4
+ephem==4.1.3
+et-xmlfile==1.1.0
+etils==0.8.0
+etuples==0.3.8
+fa2==0.3.5
+fastai==2.7.9
+fastapi==0.85.0
+fastcore==1.5.27
+fastdownload==0.0.7
+fastdtw==0.3.4
+fastjsonschema==2.16.2
+fastprogress==1.0.3
+fastrlock==0.8
+feather-format==0.4.1
+ffmpy==0.3.0
+filelock==3.8.0
+firebase-admin==4.4.0
+fix-yahoo-finance==0.0.22
+Flask==1.1.4
+flatbuffers==22.9.24
+folium==0.12.1.post1
+frozenlist==1.3.1
+fsspec==2022.8.2
+future==0.16.0
+gast==0.5.3
+GDAL==2.2.2
+gdown==4.4.0
+gensim==3.6.0
+geographiclib==1.52
+geopy==1.17.0
+gin-config==0.5.0
+glob2==0.7
+google==2.0.3
+google-api-core==1.31.6
+google-api-python-client==1.12.11
+google-auth==1.35.0
+google-auth-httplib2==0.0.4
+google-auth-oauthlib==0.4.6
+google-cloud-bigquery==1.21.0
+google-cloud-bigquery-storage==1.1.2
+google-cloud-core==1.0.3
+google-cloud-datastore==1.8.0
+google-cloud-firestore==1.7.0
+google-cloud-language==1.2.0
+google-cloud-storage==1.18.1
+google-cloud-translate==1.5.0
+google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz
+google-pasta==0.2.0
+google-resumable-media==0.4.1
+googleapis-common-protos==1.56.4
+googledrivedownloader==0.4
+gradio==3.4.1
+graphviz==0.10.1
+greenlet==1.1.3
+grpcio==1.49.1
+gspread==3.4.2
+gspread-dataframe==3.0.8
+gym==0.25.2
+gym-notices==0.0.8
+h11==0.12.0
+h5py==3.1.0
+HeapDict==1.0.1
+hijri-converter==2.2.4
+holidays==0.16
+holoviews==1.14.9
+html5lib==1.0.1
+httpcore==0.15.0
+httpimport==0.5.18
+httplib2==0.17.4
+httplib2shim==0.0.3
+httpstan==4.6.1
+httpx==0.23.0
+humanize==0.5.1
+hyperopt==0.1.2
+idna==2.10
+imageio==2.9.0
+imagesize==1.4.1
+imbalanced-learn==0.8.1
+imblearn==0.0
+imgaug==0.4.0
+importlib-metadata==5.0.0
+importlib-resources==5.9.0
+imutils==0.5.4
+inflect==2.1.0
+intel-openmp==2022.2.0
+intervaltree==2.1.0
+ipykernel==5.3.4
+ipython==7.9.0
+ipython-genutils==0.2.0
+ipython-sql==0.3.9
+ipywidgets==7.7.1
+itsdangerous==1.1.0
+jax==0.3.21
+jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.3.20+cuda11.cudnn805-cp37-cp37m-manylinux2014_x86_64.whl
+jieba==0.42.1
+Jinja2==2.11.3
+joblib==1.2.0
+jpeg4py==0.1.4
+jsonschema==4.3.3
+jupyter-client==6.1.12
+jupyter-console==6.1.0
+jupyter-core==4.11.1
+jupyterlab-widgets==3.0.3
+kaggle==1.5.12
+kapre==0.3.7
+keras==2.8.0
+Keras-Preprocessing==1.1.2
+keras-vis==0.4.1
+kiwisolver==1.4.4
+korean-lunar-calendar==0.3.1
+langcodes==3.3.0
+libclang==14.0.6
+librosa==0.8.1
+lightgbm==2.2.3
+linkify-it-py==1.0.3
+llvmlite==0.39.1
+lmdb==0.99
+locket==1.0.0
+logical-unification==0.4.5
+LunarCalendar==0.0.9
+lxml==4.9.1
+Markdown==3.4.1
+markdown-it-py==2.1.0
+MarkupSafe==2.0.1
+marshmallow==3.18.0
+matplotlib==3.2.2
+matplotlib-venn==0.11.7
+mdit-py-plugins==0.3.1
+mdurl==0.1.2
+miniKanren==1.0.3
+missingno==0.5.1
+mistune==0.8.4
+mizani==0.7.3
+mkl==2019.0
+mlxtend==0.14.0
+more-itertools==8.14.0
+moviepy==0.2.3.5
+mpmath==1.2.1
+msgpack==1.0.4
+multidict==6.0.2
+multipledispatch==0.6.0
+multitasking==0.0.11
+murmurhash==1.0.8
+music21==5.5.0
+natsort==5.5.0
+nbconvert==5.6.1
+nbformat==5.6.1
+netCDF4==1.6.1
+networkx==2.6.3
+nibabel==3.0.2
+nltk==3.7
+notebook==5.3.1
+numba==0.56.2
+numexpr==2.8.3
+numpy==1.21.6
+oauth2client==4.1.3
+oauthlib==3.2.1
+okgrade==0.4.3
+opencv-contrib-python==4.6.0.66
+opencv-python==4.6.0.66
+opencv-python-headless==4.6.0.66
+openpyxl==3.0.10
+opt-einsum==3.3.0
+orjson==3.8.0
+osqp==0.6.2.post0
+packaging==21.3
+palettable==3.3.0
+pandas==1.3.5
+pandas-datareader==0.9.0
+pandas-gbq==0.13.3
+pandas-profiling==1.4.1
+pandocfilters==1.5.0
+panel==0.12.1
+param==1.12.2
+paramiko==2.11.0
+parso==0.8.3
+partd==1.3.0
+pastel==0.2.1
+pathlib==1.0.1
+pathy==0.6.2
+patsy==0.5.2
+pep517==0.13.0
+pexpect==4.8.0
+pickleshare==0.7.5
+Pillow==7.1.2
+pip-tools==6.2.0
+plotly==5.5.0
+plotnine==0.8.0
+pluggy==0.7.1
+pooch==1.6.0
+portpicker==1.3.9
+prefetch-generator==1.0.1
+preshed==3.0.7
+prettytable==3.4.1
+progressbar2==3.38.0
+promise==2.3
+prompt-toolkit==2.0.10
+prophet==1.1.1
+protobuf==3.17.3
+psutil==5.4.8
+psycopg2==2.9.3
+ptyprocess==0.7.0
+py==1.11.0
+pyarrow==6.0.1
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+pycocotools==2.0.5
+pycparser==2.21
+pycryptodome==3.15.0
+pyct==0.4.8
+pydantic==1.9.2
+pydata-google-auth==1.4.0
+pydot==1.3.0
+pydot-ng==2.0.0
+pydotplus==2.0.2
+PyDrive==1.3.1
+pydub==0.25.1
+pyemd==0.5.1
+pyerfa==2.0.0.1
+Pygments==2.6.1
+pygobject==3.26.1
+pylev==1.4.0
+pymc==4.1.4
+PyMeeus==0.5.11
+pymongo==4.2.0
+pymystem3==0.2.0
+PyNaCl==1.5.0
+PyOpenGL==3.1.6
+pyparsing==3.0.9
+pyrsistent==0.18.1
+pysimdjson==3.2.0
+pysndfile==1.3.8
+PySocks==1.7.1
+pystan==3.3.0
+pytest==3.6.4
+python-apt==0.0.0
+python-chess==0.23.11
+python-dateutil==2.8.2
+python-louvain==0.16
+python-multipart==0.0.5
+python-slugify==6.1.2
+python-utils==3.3.3
+pytz==2022.4
+pyviz-comms==2.2.1
+PyWavelets==1.3.0
+PyYAML==6.0
+pyzmq==23.2.1
+qdldl==0.1.5.post2
+qudida==0.0.4
+regex==2022.6.2
+requests==2.23.0
+requests-oauthlib==1.3.1
+resampy==0.4.2
+rfc3986==1.5.0
+rpy2==3.4.5
+rsa==4.9
+scikit-image==0.18.3
+scikit-learn==1.0.2
+scipy==1.7.3
+screen-resolution-extra==0.0.0
+scs==3.2.0
+seaborn==0.11.2
+Send2Trash==1.8.0
+setuptools-git==1.2
+Shapely==1.8.4
+six==1.15.0
+sklearn-pandas==1.8.0
+smart-open==5.2.1
+sniffio==1.3.0
+snowballstemmer==2.2.0
+sortedcontainers==2.4.0
+soundfile==0.11.0
+spacy==3.4.1
+spacy-legacy==3.0.10
+spacy-loggers==1.0.3
+Sphinx==1.8.6
+sphinxcontrib-serializinghtml==1.1.5
+sphinxcontrib-websupport==1.2.4
+SQLAlchemy==1.4.41
+sqlparse==0.4.3
+srsly==2.4.4
+starlette==0.20.4
+statsmodels==0.12.2
+sympy==1.7.1
+tables==3.7.0
+tabulate==0.8.10
+tblib==1.7.0
+tenacity==8.1.0
+tensorboard==2.8.0
+tensorboard-data-server==0.6.1
+tensorboard-plugin-wit==1.8.1
+tensorflow==2.8.2+zzzcolab20220929150707
+tensorflow-datasets==4.6.0
+tensorflow-estimator==2.8.0
+tensorflow-gcs-config==2.8.0
+tensorflow-hub==0.12.0
+tensorflow-io-gcs-filesystem==0.27.0
+tensorflow-metadata==1.10.0
+tensorflow-probability==0.16.0
+termcolor==2.0.1
+terminado==0.13.3
+testpath==0.6.0
+text-unidecode==1.3
+textblob==0.15.3
+thinc==8.1.2
+threadpoolctl==3.1.0
+tifffile==2021.11.2
+toml==0.10.2
+tomli==2.0.1
+toolz==0.12.0
+torch @ https://download.pytorch.org/whl/cu113/torch-1.12.1%2Bcu113-cp37-cp37m-linux_x86_64.whl
+torchaudio @ https://download.pytorch.org/whl/cu113/torchaudio-0.12.1%2Bcu113-cp37-cp37m-linux_x86_64.whl
+torchsummary==1.5.1
+torchtext==0.13.1
+torchvision @ https://download.pytorch.org/whl/cu113/torchvision-0.13.1%2Bcu113-cp37-cp37m-linux_x86_64.whl
+tornado==5.1.1
+tqdm==4.64.1
+traitlets==5.1.1
+tweepy==3.10.0
+typeguard==2.7.1
+typer==0.4.2
+typing-extensions==4.1.1
+tzlocal==1.5.1
+uc-micro-py==1.0.1
+ujson==5.5.0
+uritemplate==3.0.1
+urllib3==1.24.3
+uvicorn==0.18.3
+vega-datasets==0.9.0
+wasabi==0.10.1
+wcwidth==0.2.5
+webargs==8.2.0
+webencodings==0.5.1
+websockets==10.3
+Werkzeug==1.0.1
+widgetsnbextension==3.6.1
+wordcloud==1.8.2.2
+wrapt==1.14.1
+xarray==0.20.2
+xarray-einstats==0.2.2
+xgboost==0.90
+xkit==0.0.0
+xlrd==1.1.0
+xlwt==1.3.0
+yarl==1.8.1
+yellowbrick==1.5
+zict==2.2.0
+zipp==3.8.1

恶劣天气识别.ipynb

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+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"},"gpuClass":"standard"},"cells":[{"cell_type":"markdown","metadata":{"id":"D_XJcxqx22uj"},"source":["## Using Gradio to create a simple interface.\n","\n","Check out the library on [github](https://github.com/gradio-app/gradio-UI) and see the [getting started](https://gradio.app/getting_started.html) page for more demos."]},{"cell_type":"markdown","metadata":{"id":"AUHtJ20jYqd9"},"source":["We'll start with a basic function that greets an input name."]},{"cell_type":"markdown","metadata":{"id":"R06dbZZaYJDq"},"source":["Now we'll wrap this function with a Gradio interface."]},{"cell_type":"code","metadata":{"id":"fJUJLWQ92g6R","executionInfo":{"status":"ok","timestamp":1665586405793,"user_tz":-480,"elapsed":4526,"user":{"displayName":"金先生","userId":"07679655535683887373"}}},"source":["!pip install -q gradio"],"execution_count":24,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"uQheRaw5YVTL"},"source":["That's all! Go ahead and open that share link in a new tab. Check out our [getting started](https://gradio.app/getting_started.html) page for more complicated demos."]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KlZeF5loRGRe","executionInfo":{"status":"ok","timestamp":1665586415670,"user_tz":-480,"elapsed":2922,"user":{"displayName":"金先生","userId":"07679655535683887373"}},"outputId":"b7fd8261-dbe6-41b4-eddb-3ae1163a83b2"},"execution_count":25,"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}]},{"cell_type":"code","source":["from keras.datasets import mnist\n","from keras.utils import np_utils\n","from keras.models import Sequential\n","from keras.layers import Dense,Activation"],"metadata":{"id":"4OpspV6iV1wS","executionInfo":{"status":"ok","timestamp":1665586417692,"user_tz":-480,"elapsed":1,"user":{"displayName":"金先生","userId":"07679655535683887373"}}},"execution_count":26,"outputs":[]},{"cell_type":"code","metadata":{"id":"e200MmBU2aLT","executionInfo":{"status":"ok","timestamp":1665586421228,"user_tz":-480,"elapsed":3,"user":{"displayName":"金先生","userId":"07679655535683887373"}}},"source":["# import gradio\n","# gradio.Interface(greet, \"text\", \"text\").launch(share=True)\n","from keras.models import load_model\n","#import tensorflow as tf\n","# 替换自己的模型\n","#inception_net = tf.keras.applications.MobileNetV2()\n"],"execution_count":27,"outputs":[]},{"cell_type":"code","source":["from keras.models import load_model\n","import numpy as np\n","from keras.preprocessing import image\n","from keras.preprocessing.image import load_img\n","from PIL import ImageFilter\n","from PIL import Image\n","import cv2\n","import os\n","\n","#PHOTO_SIZE = 120  #对图片大小进行限制，低于120KB的抛弃\n","#path = r'/content/sunny.jpg'  # 目标\n","weight_path = r'/content/drive/MyDrive/恶劣天气图像识别代码-毕业设计-戴一凡/basic.h5' #权重文件\n","\n","#re_x =256  #输入到神经网络中的文件的大小\n","\n","model = load_model(weight_path)\n","#img = Image.open(path)\n","#img = img.resize((re_x,re_x), Image.ANTIALIAS) #缩放到事先指定的大小\n","#img = np.expand_dims(img, axis=0)\n","#print(img)\n","#inception_net=model.predict(img)#获取预测值\n"],"metadata":{"id":"V1H-DJgUZ3YX","executionInfo":{"status":"ok","timestamp":1665586434870,"user_tz":-480,"elapsed":1729,"user":{"displayName":"金先生","userId":"07679655535683887373"}}},"execution_count":28,"outputs":[]},{"cell_type":"code","source":["#labels =['Srainy', 'Mrainy', 'Lrainy', 'Sfoggy', 'Mfoggy','Lfoggy','sunny']\n","labels=['天气:小雨，  降雨强度(mm/min):0.8，  能见度(m):500，  道路摩擦系数:0.64,  限速(km/h):80',\n","    '天气:中雨，  降雨强度(mm/min):1.2，  能见度(m):250，  道路摩擦系数:0.58,  限速(km/h):50',\n","    '天气:大雨，  降雨强度(mm/min):1.6，  能见度(m):50-150， 道路摩擦系数:0.45,  限速(km/h):30',\n","    '天气:薄雾，  降雨强度(mm/min):0，   能见度(m):500:，  道路摩擦系数:0.8,  限速(km/h):110',\n","    '天气:大雾，  降雨强度(mm/min):0，   能见度(m):200，   道路摩擦系数:0.8,  限速(km/h):70',\n","    '天气:浓雾，  降雨强度(mm/min):0:，   能见度(m):50-100， 道路摩擦系数:0.8,  限速(km/h):40',\n","    '天气:晴，   降雨强度(mm/min):0，   能见度(m):>1000:，  道路摩擦系数:0.8,  限速(km/h):120']\n","def classify_image(inp):\n","  inp = inp.resize((256,256), Image.ANTIALIAS) #缩放到事先指定的大小\n","  inp = np.expand_dims(inp, axis=0)\n","  prediction = model.predict(inp)\n","  confidences = {labels[i]: float(prediction[0][i]) for i in range(7)}\n","  return confidences\n","#path = r'/content/rainy.jpg'\n","\n","#img = Image.open(path)\n","#print(classify_image(img))"],"metadata":{"id":"Og4_R6lN49al","executionInfo":{"status":"ok","timestamp":1665586436812,"user_tz":-480,"elapsed":1,"user":{"displayName":"金先生","userId":"07679655535683887373"}}},"execution_count":29,"outputs":[]},{"cell_type":"code","source":["import gradio as gr\n","gr.Interface(\n","    fn=classify_image,\n","    inputs=gr.Image(type=\"pil\",shape=(256,256)),\n","    outputs=gr.Label(num_top_classes=1),\n","    examples=[\"rainy.jpg\", \"sunny.jpg\"],\n","    interpretation=\"default\",cache_examples=True,title=\"恶劣天气图像识别与预警\"\n",").launch(enable_queue=True)"],"metadata":{"id":"8Ls0etEpC1h4","colab":{"base_uri":"https://localhost:8080/","height":660},"executionInfo":{"status":"ok","timestamp":1665587091024,"user_tz":-480,"elapsed":9765,"user":{"displayName":"金先生","userId":"07679655535683887373"}},"outputId":"c70b2110-b366-4116-92e0-3cbde69eece0"},"execution_count":36,"outputs":[{"output_type":"stream","name":"stdout","text":["Caching examples at: '/content/gradio_cached_examples/66/log.csv'\n","Colab notebook detected. To show errors in colab notebook, set `debug=True` in `launch()`\n","Running on public URL: https://18698.gradio.app\n","\n","This share link expires in 72 hours. For free permanent hosting, check out Spaces: https://huggingface.co/spaces\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["<div><iframe src=\"https://18698.gradio.app\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["(<gradio.routes.App at 0x7f839f968d50>,\n"," 'http://127.0.0.1:7862/',\n"," 'https://18698.gradio.app')"]},"metadata":{},"execution_count":36}]},{"cell_type":"code","source":["import gradio as gr\n","def generate_mutimodal(title, context, senti, num, img):\n","    return f\"Title:{title}\\nContext:{context}\\nSenti:{senti}\\nNum:{num}...{img}\"\n","    \n","server = gr.Interface(\n","    fn=generate_mutimodal, \n","    inputs=[\n","        gr.Textbox(lines=1, placeholder=\"请输入标题\", label=\"标题\", interactive=True),  # interactive指定该组件是否允许用户输入或者交互\n","        gr.Textbox(lines=2, placeholder=\"请输入正文\", label=\"正文\"),\n","        gr.Radio([\"0\", \"1\", \"随机\"], label=\"倾向\"),\n","        gr.Number(label='条数'),\n","        gr.Image(shape=(200, 200),  label=\"请上传图片(可选)\").style(height='24', rounded=True)\n","    ], \n","    outputs=\"text\",\n","    examples=[\n","        [\"标题1\", \"正文1\", \"0\", None],\n","        [\"标题2\", \"正文2\", \"随机\"],\n","    ],\n","    title=\"可控文本生成\",\n","    description=\"标题和正文至少一个非空，图片可选是否上传\",\n","    article=\"\"\"\n","        ### 这里是底部的article\n","        #### article 1\n","        This is article 1\n","    \"\"\",\n","    css=\"body {background-color: red; font-size: large}\",\n","    allow_flagging=\"never\",     # 输出侧是否开启flag功能 比如让用户去标记输出结果是否正确 写到日志\n","    live=False,                 # live: 用户输入改变时是否自动计算结果\n","    cache_examples=False,       # cache_examples: 是否将example里的结果提前算好存到缓存里\n",")\n","\n","server.launch(\n","    enable_queue=False,         # enable_queue: 如果app流量很大，需设置参数以防止超时。这将使用长轮询对调用进行排队，一次仅处理一个调用。长轮询还可以防止网络超时，因此，如果函数的推理时间很长（> 1 分钟），则应使用队列。\n","    auth=(\"admin\", \"admin\"),    # auth: 参数值可以是 (user, pwd) 的元组，也可以是一个函数名（用户名和密码是参数, 并返回 True/False）。enable_queue=True 时，auth不能传元组。\n","    share=True                 # share: 可生成 72h 的公网访问地址，原理相当于 gradio 提供了一个内网穿透的代理，并没有把代码+环境上传到他们服务器\n",")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"h0SZKbaerIST","executionInfo":{"status":"ok","timestamp":1665552816914,"user_tz":-480,"elapsed":5630,"user":{"displayName":"金先生","userId":"07679655535683887373"}},"outputId":"6e12b243-6d41-4fcb-ecce-c27255a0b8f7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/gradio/components.py:197: UserWarning: 'rounded' styling is no longer supported. To round adjacent components together, place them in a Column(variant='box').\n","  \"'rounded' styling is no longer supported. To round adjacent components together, place them in a Column(variant='box').\"\n"]},{"output_type":"stream","name":"stdout","text":["Colab notebook detected. To show errors in colab notebook, set `debug=True` in `launch()`\n","Running on public URL: https://17915.gradio.app\n","\n","This share link expires in 72 hours. For free permanent hosting, check out Spaces: https://huggingface.co/spaces\n"]},{"output_type":"execute_result","data":{"text/plain":["(<gradio.routes.App at 0x7f9d6e3bfb10>,\n"," 'http://127.0.0.1:7861/',\n"," 'https://17915.gradio.app')"]},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":[],"metadata":{"id":"t86gBSOLMFmX"},"execution_count":null,"outputs":[]}]}