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README.md

@@ -1,12 +1,6 @@
 ---
-title: TaskPilot AI
-emoji: 🐢
-colorFrom: green
-colorTo: blue
+title: TaskPilot_AI
+app_file: deploy.py
 sdk: gradio
-sdk_version: 6.12.0
-app_file: app.py
-pinned: false
+sdk_version: 5.49.1
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

custom.css

@@ -0,0 +1,135 @@
+/* ===== FONT (DEV STYLE) ===== */
+@import url('https://fonts.googleapis.com/css2?family=JetBrains+Mono&display=swap');
+
+/* ===== GLOBAL BACKGROUND ===== */
+html, body {
+    background: #0a0a0f !important;
+    font-family: 'JetBrains Mono', monospace;
+}
+
+/* ===== MAIN CONTAINER ===== */
+.gradio-container {
+    background: transparent !important;
+}
+
+/* ===== CHAT AREA (REMOVE WHITE) ===== */
+[data-testid="chatbot"] {
+    background: transparent !important;
+}
+
+[data-testid="chatbot"] > div {
+    background: linear-gradient(135deg, #0f0c29, #302b63, #24243e) !important;
+    border-radius: 16px;
+    padding: 16px;
+    min-height: 400px;
+}
+
+/* Remove all internal white layers */
+[data-testid="chatbot"] * {
+    background-color: transparent !important;
+}
+
+/* ===== USER MESSAGE (CYAN GLOW) ===== */
+.user.message {
+    background: rgba(0, 255, 255, 0.12) !important;
+    border: 1px solid rgba(0, 255, 255, 0.7) !important;
+    border-radius: 12px;
+    padding: 12px;
+
+    box-shadow: 0 0 10px #00ffff;
+}
+
+/* ===== BOT MESSAGE (STRONG CYAN GLOW) ===== */
+.bot.message {
+    background: rgba(0, 255, 255, 0.12) !important;
+    border: 1px solid rgba(0, 255, 255, 0.7) !important;
+    border-radius: 12px;
+    padding: 12px;
+
+    box-shadow: 
+        0 0 10px #00ffff,
+        0 0 20px rgba(0, 255, 255, 0.5);
+}
+
+/* ===== 🔥 FORCE BLACK TEXT (FINAL FIX) ===== */
+.user.message,
+.user.message *,
+.bot.message,
+.bot.message * {
+    color: #000000 !important;
+}
+
+/* ===== TEXTAREA (CYBERPUNK INPUT) ===== */
+textarea {
+    background: rgba(5, 10, 20, 0.95) !important;
+    color: #00ffff !important;
+
+    border: 1px solid rgba(0, 255, 255, 0.4) !important;
+    border-radius: 12px !important;
+
+    padding: 14px !important;
+    font-size: 15px !important;
+    font-family: 'JetBrains Mono', monospace !important;
+
+    min-height: 90px !important;
+    resize: none !important;
+
+    caret-color: #00ffff !important;
+
+    box-shadow: inset 0 0 10px rgba(0, 255, 255, 0.15);
+}
+
+/* ===== PLACEHOLDER ===== */
+textarea::placeholder {
+    color: rgba(0, 255, 255, 0.5) !important;
+}
+
+/* ===== TEXTAREA FOCUS ===== */
+textarea:focus {
+    outline: none !important;
+
+    border: 1px solid #00ffff !important;
+
+    box-shadow:
+        0 0 8px #00ffff,
+        0 0 20px rgba(0, 255, 255, 0.5),
+        inset 0 0 12px rgba(0, 255, 255, 0.2);
+}
+
+/* ===== MOVE INPUT UP ===== */
+[data-testid="textbox"] {
+    margin-top: -12px !important;
+}
+
+/* ===== SEND BUTTON ===== */
+button {
+    background: linear-gradient(45deg, #00f0ff, #ff00c8) !important;
+    border: none !important;
+    color: black !important;
+    font-weight: bold;
+    border-radius: 10px;
+    padding: 10px 16px;
+
+    box-shadow: 0 0 10px rgba(255, 0, 200, 0.5);
+}
+
+/* ===== BUTTON HOVER ===== */
+button:hover {
+    box-shadow: 
+        0 0 15px #ff00c8,
+        0 0 25px #00ffff;
+}
+
+/* ===== SCROLLBAR ===== */
+[data-testid="chatbot"]::-webkit-scrollbar {
+    width: 8px;
+}
+
+[data-testid="chatbot"]::-webkit-scrollbar-track {
+    background: #0a0a0f;
+}
+
+[data-testid="chatbot"]::-webkit-scrollbar-thumb {
+    background: linear-gradient(#00ffff, #ff00c8);
+    border-radius: 10px;
+}

deploy.py

@@ -0,0 +1,167 @@
+from rich.console import Console
+from dotenv import load_dotenv
+from openai import AzureOpenAI
+import json
+import os
+import gradio as gr
+
+load_dotenv(override=True)
+
+# ── OpenAI client ──────────────────────────────────────────────────────────────
+openai_key = os.getenv('OPENAI_API_KEY')
+openai = AzureOpenAI(
+    api_version="2025-02-01-preview",
+    azure_endpoint="https://api.chatgpt.tomtom-global.com/",
+    api_key=openai_key
+)
+model = "dep-gpt-5.4"
+
+# ── Helpers ────────────────────────────────────────────────────────────────────
+def show(text):
+    try:
+        Console().print(text)
+    except Exception:
+        print(text)
+
+# ── Todo state ─────────────────────────────────────────────────────────────────
+todos = []
+completed = []
+
+# ── Todo tools ─────────────────────────────────────────────────────────────────
+def get_todo_report() -> str:
+    result = ""
+    for index, todo in enumerate(todos):
+        if completed[index]:
+            result += f"Todo #{index + 1}: ~~{todo}~~ ✅\n"
+        else:
+            result += f"Todo #{index + 1}: {todo} ⏳\n"
+    show(result)
+    return result
+
+def create_todos(descriptions: list[str]) -> str:
+    todos.extend(descriptions)
+    completed.extend([False] * len(descriptions))
+    return get_todo_report()
+
+def mark_complete(index: int, completion_notes: str) -> str:
+    if 1 <= index <= len(todos):
+        completed[index - 1] = True
+    else:
+        return "No todo at this index."
+    Console().print(completion_notes)
+    return get_todo_report()
+
+# ── Tool schemas ───────────────────────────────────────────────────────────────
+create_todos_json = {
+    "name": "create_todos",
+    "description": "Add new todos from a list of descriptions and return the full list",
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "descriptions": {
+                "type": "array",
+                "items": {"type": "string"},
+                "title": "Descriptions"
+            }
+        },
+        "required": ["descriptions"],
+        "additionalProperties": False
+    }
+}
+
+mark_complete_json = {
+    "name": "mark_complete",
+    "description": "Mark complete the todo at the given position (starting from 1) and return the full list",
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "index": {
+                "description": "The 1-based index of the todo to mark as complete",
+                "title": "Index",
+                "type": "integer"
+            },
+            "completion_notes": {
+                "description": "Notes about how you completed the todo in rich console markup",
+                "title": "Completion Notes",
+                "type": "string"
+            }
+        },
+        "required": ["index", "completion_notes"],
+        "additionalProperties": False
+    }
+}
+
+tools = [
+    {"type": "function", "function": create_todos_json},
+    {"type": "function", "function": mark_complete_json}
+]
+
+TOOL_MAP = {
+    "create_todos": create_todos,
+    "mark_complete": mark_complete
+}
+
+# ── Tool call handler ──────────────────────────────────────────────────────────
+def handle_tool_calls(tool_calls):
+    results = []
+    for tool_call in tool_calls:
+        tool_name = tool_call.function.name
+        arguments = json.loads(tool_call.function.arguments)
+        tool = TOOL_MAP.get(tool_name)
+        result = tool(**arguments) if tool else {}
+        results.append({
+            "role": "tool",
+            "content": json.dumps(result),
+            "tool_call_id": tool_call.id
+        })
+    return results
+
+# ── System prompt ──────────────────────────────────────────────────────────────
+system_message = """
+You are given a problem to solve, by using your todo tools to plan a list of steps, then carrying out each step in turn.
+Now use the todo list tools, create a plan, carry out the steps, and reply with the solution.
+If any quantity isn't provided in the question, then include a step to come up with a reasonable estimate.
+Provide your solution in Markdown format (use ~~strikethrough~~ for completed tasks, bullet points, etc.).
+Do not ask the user questions or clarification; respond only with the answer after using your tools.
+"""
+
+# ── Agent loop ─────────────────────────────────────────────────────────────────
+def loop(message, history):
+    global todos, completed
+    todos, completed = [], []  # reset state for each new conversation turn
+
+    done = False
+    messages = [{"role": "system", "content": system_message}] + history + [{"role": "user", "content": message}]
+
+    max_steps = 10
+    steps = 0
+    while not done and steps < max_steps:
+        steps += 1
+        response = openai.chat.completions.create(
+            model=model,
+            messages=messages,
+            tools=tools,
+            reasoning_effort="none"
+        )
+        finish_reason = response.choices[0].finish_reason
+
+        if finish_reason == "tool_calls":
+            msg = response.choices[0].message
+            tool_calls = msg.tool_calls
+            results = handle_tool_calls(tool_calls)
+            messages.append(msg)
+            messages.extend(results)
+        else:
+            done = True
+
+    return response.choices[0].message.content
+
+def load_css():
+    with open("custom.css", "r") as f:
+        return f.read()
+
+custom_css = load_css()
+
+# ── Launch Gradio ──────────────────────────────────────────────────────────────
+if __name__ == "__main__":
+    gr.ChatInterface(loop, type="messages",css=custom_css).launch()