Solara screenshots (ploomber#150)

* arxiv

* gpt4 tokenizer

* fitness

* ocr

* quiz

* keyword

examples/solara/arxiv-chat/README.md

@@ -1,3 +1,5 @@
 # Arxiv Chat
 
-A chat assistant that can help find academic papers using Arxiv and also allows users to chat with an uploaded article.
+A chat assistant that can help find academic papers using Arxiv and also allows users to chat with an uploaded article.
+
+![](screenshot.webp)

examples/solara/arxiv-chat/requirements.lock.txt

@@ -0,0 +1,87 @@
+annotated-types==0.6.0
+anyio==4.3.0
+appnope==0.1.4
+arxiv==2.1.0
+asttokens==2.4.1
+attrs==23.2.0
+cachetools==5.3.3
+certifi==2024.2.2
+charset-normalizer==3.3.2
+click==8.1.7
+comm==0.2.2
+debugpy==1.8.1
+decorator==5.1.1
+distro==1.9.0
+executing==2.0.1
+fastjsonschema==2.19.1
+feedparser==6.0.10
+filelock==3.13.1
+h11==0.14.0
+httpcore==1.0.4
+httpx==0.27.0
+humanize==4.9.0
+idna==3.6
+ipykernel==6.29.3
+ipython==8.22.2
+ipyvue==1.10.2
+ipyvuetify==1.9.1
+ipywidgets==8.1.2
+jedi==0.19.1
+Jinja2==3.1.3
+jsonschema==4.21.1
+jsonschema-specifications==2023.12.1
+jupyter_client==8.6.1
+jupyter_core==5.7.2
+jupyterlab_widgets==3.0.10
+Markdown==3.5.2
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib-inline==0.1.6
+mdurl==0.1.2
+nbformat==5.10.2
+nest-asyncio==1.6.0
+numpy==1.26.4
+openai==1.13.3
+packaging==24.0
+parso==0.8.3
+pexpect==4.9.0
+platformdirs==4.2.0
+prompt-toolkit==3.0.43
+psutil==5.9.8
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pydantic==2.6.4
+pydantic_core==2.16.3
+Pygments==2.17.2
+pymdown-extensions==10.7.1
+PyMuPDF==1.23.26
+PyMuPDFb==1.23.22
+python-dateutil==2.9.0.post0
+PyYAML==6.0.1
+pyzmq==25.1.2
+reacton==1.8.3
+referencing==0.33.0
+regex==2023.12.25
+requests==2.31.0
+rich==13.7.1
+rich-click==1.7.4
+rpds-py==0.18.0
+scipy==1.12.0
+sgmllib3k==1.0.0
+six==1.16.0
+sniffio==1.3.1
+solara==1.25.0
+stack-data==0.6.3
+starlette==0.37.2
+tiktoken==0.6.0
+tornado==6.4
+tqdm==4.66.2
+traitlets==5.14.2
+typing_extensions==4.10.0
+urllib3==2.2.1
+uvicorn==0.28.0
+watchdog==4.0.0
+watchfiles==0.21.0
+wcwidth==0.2.13
+websockets==12.0
+widgetsnbextension==4.0.10

examples/solara/fitness-tracker/README.md

@@ -1,3 +1,18 @@
 # Fitness tracker
 
-An app that can generate a fitness and nutrition plan using an LLM.
+An app that can generate a fitness and nutrition plan using an LLM.
+
+![](screenshot.webp)
+
+## Testing locally
+
+Set the below environment variables:
+
+1. `OPENAI_KEY`: OpenAI API Key
+2. `SERPERDEV_API_KEY`: [Serper](https://serper.dev/) key
+
+Run the below command:
+
+```bash
+solara run app.py
+```

examples/solara/fitness-tracker/requirements.lock.txt

@@ -0,0 +1,116 @@
+anyio==4.3.0
+appdirs==1.4.4
+appnope==0.1.4
+asttokens==2.4.1
+attrs==23.2.0
+backoff==2.2.1
+boilerpy3==1.0.7
+cachetools==5.3.3
+cattrs==23.2.3
+certifi==2024.2.2
+charset-normalizer==3.3.2
+click==8.1.7
+comm==0.2.2
+debugpy==1.8.1
+decorator==5.1.1
+docopt==0.6.2
+Events==0.5
+executing==2.0.1
+farm-haystack==1.25.0
+fastjsonschema==2.19.1
+filelock==3.13.1
+fsspec==2024.2.0
+h11==0.14.0
+httpcore==1.0.4
+httpx==0.27.0
+huggingface-hub==0.21.4
+humanize==4.9.0
+idna==3.6
+inflect==7.0.0
+ipykernel==6.29.3
+ipython==8.22.2
+ipyvue==1.10.2
+ipyvuetify==1.9.1
+ipywidgets==8.1.2
+jedi==0.19.1
+Jinja2==3.1.3
+joblib==1.3.2
+jsonschema==4.21.1
+jsonschema-specifications==2023.12.1
+jupyter_client==8.6.1
+jupyter_core==5.7.2
+jupyterlab_widgets==3.0.10
+lazy-imports==0.3.1
+Markdown==3.5.2
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib-inline==0.1.6
+mdurl==0.1.2
+monotonic==1.6
+more-itertools==10.2.0
+mpmath==1.3.0
+nbformat==5.10.2
+nest-asyncio==1.6.0
+networkx==3.2.1
+num2words==0.5.13
+numpy==1.26.4
+packaging==24.0
+pandas==2.2.1
+parso==0.8.3
+pexpect==4.9.0
+pillow==10.2.0
+platformdirs==4.2.0
+posthog==3.5.0
+prompt-toolkit==3.0.43
+prompthub-py==4.0.0
+psutil==5.9.8
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pydantic==1.10.14
+Pygments==2.17.2
+pymdown-extensions==10.7.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.0.1
+pytz==2024.1
+PyYAML==6.0.1
+pyzmq==25.1.2
+quantulum3==0.9.0
+rank-bm25==0.2.2
+reacton==1.8.3
+referencing==0.33.0
+regex==2023.12.25
+requests==2.31.0
+requests-cache==0.9.8
+rich==13.7.1
+rich-click==1.7.4
+rpds-py==0.18.0
+safetensors==0.4.2
+scikit-learn==1.4.1.post1
+scipy==1.12.0
+six==1.16.0
+sniffio==1.3.1
+solara==1.25.1
+sseclient-py==1.8.0
+stack-data==0.6.3
+starlette==0.37.2
+sympy==1.12
+tenacity==8.2.3
+threadpoolctl==3.3.0
+tiktoken==0.6.0
+tokenizers==0.15.2
+torch==2.1.1
+torchvision==0.16.1
+tornado==6.4
+tqdm==4.66.2
+traitlets==5.14.2
+transformers==4.37.2
+typing_extensions==4.10.0
+tzdata==2024.1
+url-normalize==1.4.3
+urllib3==2.2.1
+uvicorn==0.28.0
+watchdog==4.0.0
+watchfiles==0.21.0
+wcwidth==0.2.13
+websockets==12.0
+widgetsnbextension==4.0.10

examples/solara/gpt-4-tokenizer/README.md

@@ -1,3 +1,5 @@
 # GPT4 Tokenizer
 
-A Solara app that shows how to use a language model tokenizer to encode and decode and how to search for a token.
+A Solara app that shows how to use a language model tokenizer to encode and decode and how to search for a token.
+
+![](screenshot.webp)

examples/solara/gpt-4-tokenizer/requirements.lock.txt

@@ -0,0 +1,76 @@
+anyio==4.3.0
+appnope==0.1.4
+asttokens==2.4.1
+attrs==23.2.0
+cachetools==5.3.3
+certifi==2024.2.2
+charset-normalizer==3.3.2
+click==8.1.7
+comm==0.2.2
+debugpy==1.8.1
+decorator==5.1.1
+executing==2.0.1
+fastjsonschema==2.19.1
+filelock==3.13.1
+h11==0.14.0
+humanize==4.9.0
+idna==3.6
+ipykernel==6.29.3
+ipython==8.22.2
+ipyvue==1.10.2
+ipyvuetify==1.9.1
+ipywidgets==8.1.2
+jedi==0.19.1
+Jinja2==3.1.3
+jsonschema==4.21.1
+jsonschema-specifications==2023.12.1
+jupyter_client==8.6.1
+jupyter_core==5.7.2
+jupyterlab_widgets==3.0.10
+Markdown==3.5.2
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+matplotlib-inline==0.1.6
+mdurl==0.1.2
+nbformat==5.10.2
+nest-asyncio==1.6.0
+numpy==1.26.4
+packaging==24.0
+pandas==2.2.1
+parso==0.8.3
+pexpect==4.9.0
+platformdirs==4.2.0
+prompt-toolkit==3.0.43
+psutil==5.9.8
+ptyprocess==0.7.0
+pure-eval==0.2.2
+Pygments==2.17.2
+pymdown-extensions==10.7.1
+python-dateutil==2.9.0.post0
+pytz==2024.1
+PyYAML==6.0.1
+pyzmq==25.1.2
+reacton==1.8.3
+referencing==0.33.0
+regex==2023.12.25
+requests==2.31.0
+rich==13.7.1
+rich-click==1.7.4
+rpds-py==0.18.0
+six==1.16.0
+sniffio==1.3.1
+solara==1.29.1
+stack-data==0.6.3
+starlette==0.37.2
+tiktoken==0.6.0
+tornado==6.4
+traitlets==5.14.2
+typing_extensions==4.10.0
+tzdata==2024.1
+urllib3==2.2.1
+uvicorn==0.28.0
+watchdog==4.0.0
+watchfiles==0.21.0
+wcwidth==0.2.13
+websockets==12.0
+widgetsnbextension==4.0.10

examples/solara/keyword-extraction/README.md

@@ -2,6 +2,8 @@
 
 This Solara app is designed for performing keyword extraction from text documents. 
 
+![](screenshot.webp)
+
 Currently, it supports the packages `PyTextRank` and `Yake` for extracting the most relevant keywords from the input text. 
 The extracted keywords can be useful for content analysis, search engine optimization (SEO), and other natural language processing tasks.