else: diagnosis_prompt = str(prompt_resp) tool_resp = loop.run_until_complete( SESSION.call_tool("chat", arguments={"query": diagnosis_prompt}) ) cont = getattr(tool_resp, 'content', None) if isinstance(cont, list): return "\n".join(c.text for c in cont).strip() return str(cont).strip() # Flask routes @app.route("/", methods=["GET", "POST"]) def home(): if request.method == "POST": session['name'] = request.form['name'] return redirect(url_for('symptoms')) return render_template("home.html") @app.route("/symptoms", methods=["GET", "POST"]) def symptoms(): name = session.get('name') if not name: return redirect(url_for('home')) if request.method == "POST": diag = assess_symptoms(request.form['symptoms']) return render_template("diagnosis.html", diagnosis=diag) greet = fetch_greeting(name) return render_template("symptoms.html", greeting=greet) if __name__ == "__main__": app.run(debug=True) ``` > **Explanation:** > - We call `stdio_client` and `ClientSession` at import time to avoid reconnecting on every HTTP request. > - `fetch_greeting` reads a resource and extracts only the text. > - `assess_symptoms` builds a clean prompt, invokes the `chat` tool, and returns the AI’s reply. --- ## Step 2: Base Template (`base.html`) A single file to handle the wallpaper and layout for all pages. ```html {% block title %}{% endblock %} {% block content %}{% endblock %} ``` > **Explanation:** > - We load the wallpaper as a full‑screen background. > - Use Tailwind utility classes to center content. --- ## Step 3: Home Page (`home.html`) ```html {% extends "base.html" %} {% block title %}Medical Chatbot – Welcome{% endblock %} {% block content %}

Welcome to Your Medical Assistant

{% endblock %} ``` > **Explanation:** > - Extends `base.html` to inherit the background. > - Simple form to collect `name`. --- ## Step 4: Symptoms Page (`symptoms.html`) ```html {% extends "base.html" %} {% block title %}Medical Chatbot – Symptoms{% endblock %} {% block content %}

{% endblock %} ``` > **Explanation:** > - Displays the greeting fetched from MCP. > - Collects `symptoms` text. --- ## Step 5: Diagnosis Page (`diagnosis.html`) ```html {% extends "base.html" %} {% block title %}Medical Chatbot – Assessment{% endblock %} {% block content %}

Welcome to Your Medical Assistant

{{ greeting }}

Assessment & Recommendations

Building a Watsonx.ai Chatbot Server with MCP in Python

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