A lightweight Streamlit-based application that uses the Qwen 3 1.7B model via Ollama to generate high-quality Product Requirement Documents (PRDs) from user prompts.

• 💬 Chat interface powered by Streamlit
• 🤖 Real-time response streaming from Qwen 3.1.7B using Ollama
• 🧠 Internal reasoning shown in a collapsible section (<think>...</think>)
• 📋 Copy-to-clipboard support for generated PRDs
• 🧱 Clear markdown output of PRDs for further processing
• 🔁 Chat history maintained using st.session_state

├── env/
│   └── agent.py        # Main app file
└── README.md           # Project description and instructions

• Python 3.8+
• Ollama installed and running locally
• Required Python packages:
  • streamlit
  • requests

pip install streamlit requests

# Start the Ollama model server (Qwen 3.1.7B)
ollama run qwen3:1.7b

# Run the Streamlit app
streamlit run env/agent.py

• User enters a product idea in the chat box.
• The app sends a streaming request to the Qwen 3.1.7B model served by Ollama.
• Response includes <think>...</think> blocks for internal reasoning.
• Internal thoughts are extracted and shown in an expandable box.
• The remaining content is treated as the Product Requirement Document and displayed.
• A “📋 Copy to Clipboard” button allows users to quickly copy the output PRD.

• Clipboard copy is implemented via components.html() using JavaScript.
• Regular expressions are used to separate <think> content from the actual PRD.
• Streamed content is appended chunk-by-chunk for responsive UI.

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