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Minor Changes to Multi Agent #21

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Minor Changes to Multi Agent #21

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157ad7b
Changed title of Streamlit app
rchandra20 Dec 13, 2024
0625e3a
Specified environment
Dec 13, 2024
dad48e6
Included instruction to change template parameter for multi-agent
Dec 13, 2024
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8 changes: 5 additions & 3 deletions README.md
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Expand Up @@ -8,7 +8,7 @@ https://aws.amazon.com/blogs/machine-learning/accelerate-analysis-and-discovery-
Multi-Agents Update:
- A Jupyter notebook located in this repository has been developed to walk users through creating these agents
- Users deploy AWS CloudFormation infrastructure to their AWS account as before
- This agent deployment notebook is meant to be run in a SageMaker Notebook environment
- This agent deployment notebook is meant to be run in a SageMaker Studio environment
- Users follow the instructions within the notebook step-by-step to interactively create agents

Now follow the step-by-step instructions below to deploy these Bedrock Agents
Expand All @@ -17,9 +17,11 @@ Step 1: Navigate to the agents/ folder in this repository and download the files

Step 2: Click the 'Launch Stack' button located in the [Deployment](#deployment) section to deploy the AWS infrastructure needed to support the agents

Step 3: Create a SageMaker Notebook in your AWS account and upload the agent/ files there
Step 3: When deploying this template make sure to change the 'GitBranch' parameter to the value 'multi-agent-collaboration' before clicking 'Submit'

Step 4: Follow the step-by-step instructions shown in deploy_agents.ipynb to deploy agents
Step 4: Go to a SageMaker Studio JupyterLab environment in your AWS account and upload the agent/ files there, use the Python 3 (ipykernel)

Step 5: Follow the step-by-step instructions shown in deploy_agents.ipynb to deploy agents

## Overview
The success rate for Phase I oncology clinical trials is significantly low. According to a study published in Nature Reviews Drug Discovery, the overall success rate for oncology drugs from Phase I to approval is around 5%, indicating a high failure rate of approximately 95%.
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4 changes: 2 additions & 2 deletions streamlitapp/app.py
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Expand Up @@ -427,7 +427,7 @@ def response_generator():
st.success(f"Selected actions: {', '.join(selected_actions)}")

# Main content
st.title("Clinical Trial Agent")
st.title("Biomarker Research Agent")

col1, col2 = st.columns([6, 1])
with col2:
Expand Down Expand Up @@ -526,4 +526,4 @@ def response_generator():
image_placeholder.error(error_msg)

# Add assistant response to chat history
#st.session_state.messages.append({"role": "assistant", "content": response})
#st.session_state.messages.append({"role": "assistant", "content": response})