Create app.py

app.py

@@ -0,0 +1,42 @@
+import gradio as gr
+import requests
+import os
+
+# Hugging Face Inference API token
+HF_TOKEN = os.getenv("HF_TOKEN")
+
+def call_llama(prompt):
+    headers = {
+        "Authorization": f"Bearer {HF_TOKEN}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "inputs": prompt,
+        "parameters": {"max_new_tokens": 500},
+    }
+    response = requests.post(
+        "https://api-inference.huggingface.co/models/meta-llama/Llama-2-7b-chat-hf", 
+        headers=headers,
+        json=payload
+    )
+    output = response.json()
+    return output[0]["generated_text"] if isinstance(output, list) else output
+
+def organize_tasks(task_list):
+    prompt = f"""
+You are a helpful assistant that creates a time-blocked schedule from 9AM to 5PM.
+
+Here are today's tasks with durations:
+{task_list}
+
+Return a schedule in table format (Time | Task).
+"""
+    return call_llama(prompt)
+
+gr.Interface(
+    fn=organize_tasks,
+    inputs=gr.Textbox(label="Enter tasks & durations (one per line)", lines=8, placeholder="e.g.\nWrite report - 90 min\nEmails - 30 min"),
+    outputs=gr.Textbox(label="Generated Schedule"),
+    title="🧠 Task Scheduler with LLaMA",
+    description="Powered by LLaMA via Hugging Face Inference API",
+).launch()