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Usecase added #542
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Usecase added #542
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thanks @Bipul70701 , left some comments below
Run the Streamlit app: | ||
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```bash | ||
streamlit run app.py |
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here should be demo.py
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## 🛠️ Setup |
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should we reuse the setup doc from OWL readme?
1. **Clone the repository** | ||
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```bash | ||
git clone https://github.com/your-org/your-repo.git |
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here need to be updated
# Get the task from the user | ||
task = st.text_input("Enter your task") | ||
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if st.button("Run Task"): | ||
if not task.strip(): | ||
st.error("Please enter a valid task.") |
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could we set one example task prompt for user to do quick test?
This PR adds a new Streamlit-based UI app that integrates CAMEL-AI's OWL framework with a Puppeteer-based MCP (Model Context Protocol) server.
Users can input natural language tasks, which are processed by autonomous agents using MCP-enabled tools—including browser automation via Puppeteer.