Create app.py

app.py

@@ -0,0 +1,68 @@
+import gradio as gr
+import pandas as pd
+import datetime
+from openai import OpenAI
+import os
+
+# 🔐 Setup API Key (store as HF_SECRET)
+openai_api_key = os.getenv("OPENAI_API_KEY")
+client = OpenAI(api_key=openai_api_key)
+
+def generate_plan(subjects, exam_date, hours_per_day):
+    subjects = [s.strip() for s in subjects.split(",")]
+    exam_date = pd.to_datetime(exam_date)
+    today = pd.to_datetime("today").normalize()
+    total_days = (exam_date - today).days
+
+    if total_days <= 0 or not subjects:
+        return "Invalid input", None, None
+
+    total_hours = total_days * hours_per_day
+    hours_per_subject = total_hours // len(subjects)
+
+    # Simple schedule
+    schedule = []
+    for i in range(total_days):
+        date = today + pd.Timedelta(days=i)
+        subject = subjects[i % len(subjects)]
+        schedule.append({
+            "Date": date.date(),
+            "Subject": subject,
+            "Hours": round(hours_per_day / len(subjects), 2)
+        })
+
+    df = pd.DataFrame(schedule)
+
+    # Generate Tip from LLM
+    prompt = f"""Generate a short, motivating study tip for a student studying {', '.join(subjects)} with {hours_per_day} hours per day until {exam_date.date()}."""
+    response = client.chat.completions.create(
+        model="gpt-4",
+        messages=[{"role": "user", "content": prompt}]
+    )
+    tip = response.choices[0].message.content.strip()
+
+    return tip, df, df.to_csv(index=False)
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("## 📚 Personalized Study Plan Generator")
+
+    subjects = gr.Textbox(label="Enter subjects (comma-separated)")
+    exam_date = gr.Textbox(label="Enter exam date (YYYY-MM-DD)")
+    hours = gr.Slider(1, 12, step=1, label="Hours per day")
+    btn = gr.Button("Generate Plan")
+
+    output_tip = gr.Textbox(label="AI Study Tip")
+    output_table = gr.Dataframe(label="Study Plan")
+    download_csv = gr.File(label="Download CSV")
+
+    def generate_and_show(subjects, exam_date, hours):
+        tip, df, csv = generate_plan(subjects, exam_date, hours)
+        with open("study_plan.csv", "w") as f:
+            f.write(csv)
+        return tip, df, "study_plan.csv"
+
+    btn.click(fn=generate_and_show, inputs=[subjects, exam_date, hours],
+              outputs=[output_tip, output_table, download_csv])
+
+demo.launch()