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chunked_audio_transcriptions
chunked_audio_transcriptions
 
 
chunked_audio_transcriptions_even
chunked_audio_transcriptions_even
 
 
chunked_slide_transcriptions
chunked_slide_transcriptions
 
 
chunked_text_transcriptions_scipdf
chunked_text_transcriptions_scipdf
 
 
slides
slides
 
 
templates
templates
 
 
text_files
text_files
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
audio_to_jsonl.py
audio_to_jsonl.py
 
 
basic_chatbot.py
basic_chatbot.py
 
 
basic_eval.txt
basic_eval.txt
 
 
basic_eval0.txt
basic_eval0.txt
 
 
basic_eval1.txt
basic_eval1.txt
 
 
basic_eval2.txt
basic_eval2.txt
 
 
basic_eval3.txt
basic_eval3.txt
 
 
basic_eval4.txt
basic_eval4.txt
 
 
evaluator.py
evaluator.py
 
 
even_audio_chunks.py
even_audio_chunks.py
 
 
example.txt
example.txt
 
 
example_summary.txt
example_summary.txt
 
 
extract_audio_deepgram.py
extract_audio_deepgram.py
 
 
extract_pptx_chunks.py
extract_pptx_chunks.py
 
 
first_chatbot.py
first_chatbot.py
 
 
med_275_data.jsonl
med_275_data.jsonl
 
 
med_275_data_ver2.jsonl
med_275_data_ver2.jsonl
 
 
new_chatbot.py
new_chatbot.py
 
 
parse_pdf_scipdf.py
parse_pdf_scipdf.py
 
 
pre_RAG_relevance_checking.py
pre_RAG_relevance_checking.py
 
 
serve_grobid.sh
serve_grobid.sh
 
 
timetest_eval0.txt
timetest_eval0.txt
 
 
timetest_eval1.txt
timetest_eval1.txt
 
 
timetest_eval2.txt
timetest_eval2.txt
 
 
updated_cleaned_readings.py
updated_cleaned_readings.py
 
 
v4_eval.txt
v4_eval.txt
 
 
v4_eval0.txt
v4_eval0.txt
 
 
v5_eval.txt
v5_eval.txt
 
 
v5_eval0.txt
v5_eval0.txt
 
 
v6_eval.txt
v6_eval.txt
 
 
v6_eval0.txt
v6_eval0.txt
 
 
v6_eval1.txt
v6_eval1.txt
 
 
v6_eval2.txt
v6_eval2.txt
 
 
v6_eval3.txt
v6_eval3.txt
 
 
v6_eval4.txt
v6_eval4.txt
 
 
web_app.py
web_app.py
 
 
web_chatbot.py
web_chatbot.py
 
 
web_chatbot_timetest.py
web_chatbot_timetest.py
 
 
web_chatbot_v4.py
web_chatbot_v4.py
 
 
web_chatbot_v5.py
web_chatbot_v5.py
 
 
web_chatbot_v6.py
web_chatbot_v6.py
 
 

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cs224v-lecture-chatbot

To run the MED-275 Chatbot:

  1. Run web_app.py and download the relevant packages if required.
  2. Go to the local host web address that is printed out in the terminal.
  3. Type your question into the MED-275 question bar.
  4. If you want to start a new conversation, such that the chatbot won't remember your previous queries, reload the webpage.
  5. Enjoy!

If you are unable to access the chatbot at port 5000 and you have a Mac, try going to System Settings > General > AirDrop & Handoff > AirPlay Receiver and turning it off.

Limitations: Lecture 2 was missing an audio recording, so the chatbot is unable to answer questions about lecture 2. Feel free to ask about it though to see how our chatbot responds when it does not have sufficient information. Lectures 1,3,4,5, and 6 are all fair game.

Demo Video: https://drive.google.com/file/d/1YaBHZOh_AqTa4nnVkp_8X3MSj5gYFpiR/view?usp=sharing

If you're interested in looking at our implementation, we have many versions of the chatbot, but our final version is web_chatbot_v6.py.

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