fix: docs

app.py

@@ -166,7 +166,7 @@ HEADER = """
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 <div style="color: #fff !important; width: 70%"><span style="color: inherit; font-weight: 600">GLIDER</span> is a powerful 3B evaluator LLM that can score any text input and associated context on arbitrary user defined criteria.</div>
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-<div style="color: #fff !important; width: 70%;"><span style="color: inherit; font-weight: 600">Getting Started</span>: First, provide a model output (text generated by your model) and user input (text used to prompt your model) and optionally a gold answer (label or gold answer to the prompt) and retrieved context (context used for text generated by your model). Next, provide a pass criteria (description of a passing evaluation). Finally, provide an optional but recommended rubric (scoring scales with explanations) and then click submit. The GLIDER Output panel will provide a score and reasoning which is a human readable explanation of the score.</div>
+<div style="color: #fff !important; width: 70%;"><span style="color: inherit; font-weight: 600">Getting Started</span>: First, provide a model output (text generated by your model) and user input (text used to prompt your model) and optionally a gold answer (label or gold answer to the prompt) and retrieved context (context used for text generated by your model). Next, provide a pass criteria (description of a passing evaluation). Finally, provide an optional but recommended rubric (scoring scales with explanations) and then click submit. The GLIDER Output panel will provide a score and reasoning which is a human readable explanation of the score. You can find our docs <a href="https://docs.patronus.ai/docs/glider-research">here</a>.</div>
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 <div style="color: #fff !important; width: 70%;"><span style="color: inherit; font-weight: 600">Note</span>: In your Pass Criteria, use the attribute tags from above (i.e. MODEL OUTPUT, USER INPUT, GOLD ANSWER, RETRIEVED CONTEXT).</div>
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