Update tools/ai_technical_doc.py

tools/ai_technical_doc.py

@@ -3,6 +3,8 @@ import datetime
 import re
 from fpdf import FPDF
 from langdetect import detect
+import gradio as gr
+import os
 
 # === PDF Export Function ===
 def export_text_to_pdf(text, output_path=None, language="en"):
@@ -48,7 +50,6 @@ def export_text_to_pdf(text, output_path=None, language="en"):
     pdf.output(output_path)
     return output_path
 
-
 # === Questions ===
 QUESTIONS = [
     ("system_name", "What is the name of your AI system?"),
@@ -67,3 +68,45 @@ QUESTIONS = [
 
 def get_questions():
     return QUESTIONS
+
+# === Optional: Run the tool standalone for debugging ===
+def run_tool():
+    state = {"step": 0, "answers": {}}
+
+    def step_by_step_agent(user_input, state):
+        step = state["step"]
+        answers = state["answers"]
+
+        if step > 0:
+            key, _ = QUESTIONS[step - 1]
+            answers[key] = user_input
+
+        if step < len(QUESTIONS):
+            next_question = QUESTIONS[step][1]
+            state["step"] += 1
+            return next_question, state, None
+
+        content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS])
+        detected_lang = detect(content)
+        pdf_path = export_text_to_pdf(content, language=detected_lang)
+        return "✅ Completed. Download your documentation below.", {"done": True}, pdf_path
+
+    with gr.Blocks() as demo:
+        chatbot = gr.Chatbot(label="🧠 Technical Doc Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")
+        msg = gr.Textbox(label="Your answer")
+        state_var = gr.State(state)
+        file_output = gr.File(label="Download PDF")
+        reset_btn = gr.Button("🔁 Restart")
+
+        def chat_logic(msg_in, state_in):
+            reply, updated_state, file = step_by_step_agent(msg_in, state_in)
+            messages = [{"role": "user", "content": msg_in}]
+            if reply:
+                messages.append({"role": "assistant", "content": reply})
+            return messages, updated_state, file
+
+        def reset():
+            return [{"role": "assistant", "content": QUESTIONS[0][1]}], {"step": 0, "answers": {}}, None
+
+        msg.submit(chat_logic, [msg, state_var], [chatbot, state_var, file_output])
+        reset_btn.click(reset, outputs=[chatbot, state_var, file_output])