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README.md

@@ -1,16 +1,11 @@
----
-title: Calender Memory
-emoji: 💬
-colorFrom: yellow
-colorTo: purple
-sdk: gradio
-sdk_version: 6.5.1
-app_file: app.py
-pinned: false
-hf_oauth: true
-hf_oauth_scopes:
-- inference-api
-short_description: A calender agent which remember your claender dates (by reg)
----
-
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+---
+title: Calendar Memory Agent
+sdk: gradio
+sdk_version: 6.16.0
+app_file: app.py
+pinned: false
+---
+
+# Calendar Memory Agent
+
+An AI agent powered by Grok that remembers your calendar events, deadlines, and important dates across conversations.

app.py

@@ -1,69 +1,174 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-
-def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    hf_token: gr.OAuthToken,
-):
-    """
-    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-    """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
-
-    messages = [{"role": "system", "content": system_message}]
-
-    messages.extend(history)
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-chatbot = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-with gr.Blocks() as demo:
-    with gr.Sidebar():
-        gr.LoginButton()
-    chatbot.render()
-
-
-if __name__ == "__main__":
-    demo.launch()
+import os
+import json
+
+import gradio as gr
+from groq import Groq
+
+from memory import add_event, search_events, get_upcoming_events
+
+
+def build_system_prompt():
+    """Assemble the system prompt with upcoming events context."""
+    upcoming = get_upcoming_events(days=7)
+
+    base_prompt = (
+        "You are a helpful calendar memory agent. You remember the user's "
+        "important dates, deadlines, meetings, and events. You can save new "
+        "events and retrieve existing ones.\n\n"
+        "When the user mentions a date, deadline, or event, use the save_event "
+        "tool to store it. When they ask about their schedule, use the "
+        "get_events tool to look it up.\n\n"
+        "Always confirm what you saved or found. Be concise and helpful."
+    )
+
+    if upcoming:
+        events_text = "\n".join(
+            f"- {e['date']}: {e['description']} ({e['category']})"
+            for e in upcoming
+        )
+        base_prompt += (
+            f"\n\nUpcoming events (next 7 days):\n{events_text}"
+        )
+    else:
+        base_prompt += "\n\nNo upcoming events in the next 7 days."
+
+    return base_prompt
+
+def define_tools():
+    """Define the tools available to the model."""
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "save_event",
+                "description": "Save a new calendar event, deadline, or reminder to memory.",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "date": {
+                            "type": "string",
+                            "description": "The date of the event in YYYY-MM-DD format"
+                        },
+                        "description": {
+                            "type": "string",
+                            "description": "A brief description of the event"
+                        },
+                        "category": {
+                            "type": "string",
+                            "enum": ["deadline", "meeting", "reminder", "event"],
+                            "description": "The category of the event"
+                        }
+                    },
+                    "required": ["date", "description"]
+                }
+            }
+        },
+        {
+            "type": "function",
+            "function": {
+                "name": "get_events",
+                "description": "Retrieve calendar events from memory by date range or keyword.",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "start_date": {
+                            "type": "string",
+                            "description": "Start date in YYYY-MM-DD format (optional)"
+                        },
+                        "end_date": {
+                            "type": "string",
+                            "description": "End date in YYYY-MM-DD format (optional)"
+                        },
+                        "keyword": {
+                            "type": "string",
+                            "description": "Keyword to search in event descriptions (optional)"
+                        }
+                    }
+                }
+            }
+        }
+    ]
+    return tools
+
+def handle_tool_call(tool_call):
+    """Execute a client-side tool call and return the result."""
+    name = tool_call.function.name
+    args = json.loads(tool_call.function.arguments)
+
+    if name == "save_event":
+        event = add_event(
+            date=args["date"],
+            description=args["description"],
+            category=args.get("category", "event")
+        )
+        return json.dumps({
+            "status": "saved",
+            "event": event
+        })
+
+    elif name == "get_events":
+        events = search_events(
+            start_date=args.get("start_date"),
+            end_date=args.get("end_date"),
+            keyword=args.get("keyword")
+        )
+        return json.dumps({
+            "status": "found",
+            "count": len(events),
+            "events": events
+        })
+
+    return json.dumps({"error": f"Unknown tool: {name}"})
+
+def chat_with_agent(message, history):
+    """Process a user message through the Groq agent with tool calling."""
+    client = Groq(api_key=os.getenv("GROQ_API_KEY"))
+    tools = define_tools()
+    system_prompt = build_system_prompt()
+
+    # Build the messages array with system prompt and user message
+    messages = [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": message}
+    ]
+
+    while True:
+        response = client.chat.completions.create(
+            model="llama-3.3-70b-versatile",
+            messages=messages,
+            tools=tools,
+        )
+
+        choice = response.choices[0]
+
+        # If the model wants to call tools, execute them
+        if choice.finish_reason == "tool_calls":
+            # Append the assistant's message (with tool_calls) to history
+            messages.append(choice.message)
+
+            # Execute each tool call and append results
+            for tc in choice.message.tool_calls:
+                result = handle_tool_call(tc)
+                messages.append({
+                    "role": "tool",
+                    "tool_call_id": tc.id,
+                    "name": tc.function.name,
+                    "content": result,
+                })
+        else:
+            # No tool calls — return the final text response
+            return choice.message.content
+
+demo = gr.ChatInterface(
+    fn=chat_with_agent,
+    title="Calendar Memory Agent",
+    description="I remember your dates, deadlines, and events. Tell me about upcoming events or ask what's on your schedule!",
+    examples=[
+        "I have a dentist appointment on 2026-06-15",
+        "What events do I have coming up?",
+        "My project deadline is 2026-06-20",
+    ],
+)
+
+if __name__ == "__main__":
+    demo.launch()

calendar_memory.json

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+[
+  {
+    "id": "28320f10-b3b2-4fc6-aa1b-5aa7a06d63b4",
+    "date": "2026-06-15",
+    "description": "Dentist appointment",
+    "category": "reminder",
+    "created_at": "2026-06-05T00:35:17.226991"
+  },
+  {
+    "id": "9cb9ae90-eaea-455b-820c-8808da994a8e",
+    "date": "2026-06-15",
+    "description": "Dentist appointment",
+    "category": "reminder",
+    "created_at": "2026-06-05T09:29:36.731507"
+  },
+  {
+    "id": "8f7f4239-639b-43c1-a0cf-744904631007",
+    "date": "2026-06-15",
+    "description": "dentist appointment",
+    "category": "meeting",
+    "created_at": "2026-06-05T09:32:58.742139"
+  }
+]

memory.py

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+import json
+import os
+import uuid
+from datetime import datetime, timedelta
+
+
+MEMORY_FILE = "calendar_memory.json"
+
+
+def load_events():
+    """Load all events from the JSON memory file."""
+    if not os.path.exists(MEMORY_FILE):
+        return []
+    with open(MEMORY_FILE, "r") as f:
+        return json.load(f)
+
+
+def save_events(events):
+    """Save all events to the JSON memory file."""
+    with open(MEMORY_FILE, "w") as f:
+        json.dump(events, f, indent=2)
+
+def add_event(date, description, category="event"):
+    """Add a new calendar event to memory."""
+    events = load_events()
+    new_event = {
+        "id": str(uuid.uuid4()),
+        "date": date,
+        "description": description,
+        "category": category,
+        "created_at": datetime.now().isoformat()
+    }
+    events.append(new_event)
+    save_events(events)
+    return new_event
+
+def search_events(start_date=None, end_date=None, keyword=None):
+    """Search events by date range and/or keyword."""
+    events = load_events()
+    results = []
+
+    for event in events:
+        match = True
+
+        if start_date:
+            if event["date"] < start_date:
+                match = False
+
+        if end_date:
+            if event["date"] > end_date:
+                match = False
+
+        if keyword:
+            if keyword.lower() not in event["description"].lower():
+                match = False
+
+        if match:
+            results.append(event)
+
+    results.sort(key=lambda e: e["date"])
+    return results
+
+def get_upcoming_events(days=7):
+    """Get events in the next N days for context assembly."""
+    today = datetime.now().strftime("%Y-%m-%d")
+    end = (datetime.now() + timedelta(days=days)).strftime("%Y-%m-%d")
+    return search_events(start_date=today, end_date=end)
+