ReviewAid/code.rtf at main · aurumz-rgb/ReviewAid · GitHub

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{\rtf1\ansi\ansicpg1252\cocoartf2822
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{\*\listoverridetable{\listoverride\listid1\listoverridecount0\ls1}}
\paperw11900\paperh16840\margl1440\margr1440\vieww11520\viewh8400\viewkind0
\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0

\f0\fs24 \cf0 \
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python3 -m venv venv\
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source venv/bin/activate\
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pip install streamlit PyMuPDF json5 plotly pandas python-dotenv cryptography fpdf streamlit-lottie\
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{\field{\*\fldinst{HYPERLINK "https://toml.io/en/v1.1.0"}}{\fldrslt https://toml.io/en/v1.1.0}}\
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Streamlit env uses \'91 \'91 \'91  instead of \'91 for multiple lines string in .env secrets\
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OLLAMA LOCAL Testing:\
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\pard\tx220\tx720\pardeftab720\li720\fi-720\partightenfactor0
\ls1\ilvl0
\f1\fs32 \cf2 \cb3 {\listtext	1	}\expnd0\expndtw0\kerning0
Open your terminal/command prompt and type:
\f2\b\fs25\fsmilli12800 \cb4 ollama run llama3
\f1\b0\fs32 \cb3  (This downloads a ~4GB model). \cb1 \
\pard\tx220\tx720\pardeftab720\li720\fi-720\partightenfactor0
\ls1\ilvl0\cf2 \cb3 \kerning1\expnd0\expndtw0 {\listtext	2	}\expnd0\expndtw0\kerning0
Once it finishes chatting, close it. \cb1 \
\ls1\ilvl0\cb3 \kerning1\expnd0\expndtw0 {\listtext	3	}\expnd0\expndtw0\kerning0
Open ReviewAid, select
\f3\b \cf5 Ollama (Local)
\f1\b0 \cf2 , and run a PDF. No need to put API key plus let the local host link for Ollama be
\f2\b\fs25\fsmilli12800 \cb4 http://localhost:11434\
\pard\pardeftab720\partightenfactor0

\f4\i\b0\fs32 \cf2 \cb3 Explanation:
\f1\i0  This is the address where Ollama lives on your computer.
\f2\b\fs25\fsmilli12800 \cb4 11434
\f1\b0\fs32 \cb3  is the default port it uses.\
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\pard\pardeftab720\partightenfactor0

\f5\fs24 \cf0 \cb1 \outl0\strokewidth0 \strokec6 deepseek is largely open AI compatible so no need to download it
\f1\fs32 \cf2 \outl0\strokewidth0 \
}