switch out biopython for bioservices due to backend apis it has access to (kegg, etc.)
Browse files
app.py
CHANGED
@@ -51,6 +51,10 @@ class GradioUIWithExamples(GradioUI):
|
|
51 |
gr.Markdown("## Biomedical Answers")
|
52 |
gr.Markdown("""
|
53 |
An experimental knowledge platform that attempts to transforms fragmented biomedical data into answers.
|
|
|
|
|
|
|
|
|
54 |
""")
|
55 |
|
56 |
input_box = gr.Textbox(
|
|
|
51 |
gr.Markdown("## Biomedical Answers")
|
52 |
gr.Markdown("""
|
53 |
An experimental knowledge platform that attempts to transforms fragmented biomedical data into answers.
|
54 |
+
|
55 |
+
A word of caution... this is a journey of discovery to understand what the Smolagents coding approach can provide with a simple app and a handful of dependencies. In terms of the responses provided it has a ways to go until I would claim that it provides true knowledge or insight.
|
56 |
+
|
57 |
+
If anything I think that it highlights the value of ontologies and associated vocabularies in guiding LLM behavior. Probably a good time to go back and review some notes on DSPy and layer on domain vocabularies...
|
58 |
""")
|
59 |
|
60 |
input_box = gr.Textbox(
|