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app.py

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+
+import gradio as gr
+from datetime import datetime
+
+# PAGE 1: Daily Plan Generator
+def generate_daily_plan(wake_time, swim_duration, gym_today, sleep_hours, goal):
+    plan = []
+    if sleep_hours < 7:
+        plan.append("⚠️ Less than 7 hours of sleep — consider adjusting recovery.")
+    plan.append(f"🌅 Wake at {wake_time}")
+    plan.append(f"🏊‍♂️ Swim: {swim_duration} min — Focus: {goal}")
+    if gym_today:
+        plan.append("🏋️‍♂️ Gym: Yes — tailor to today's goal")
+    else:
+        plan.append("💪 Gym: Rest or mobility work")
+    plan.append("🍽️ Nutrition: Eat protein + carbs within 30 min post-swim")
+    plan.append("🌙 Sleep target: 8+ hours")
+    return "\n".join(plan)
+
+daily_plan = gr.Interface(
+    fn=generate_daily_plan,
+    inputs=[
+        gr.Textbox(label="Wake Time (e.g. 5:30 AM)"),
+        gr.Slider(label="Swim Duration (min)", minimum=0, maximum=180),
+        gr.Checkbox(label="Gym Today?"),
+        gr.Slider(label="Sleep Last Night (hrs)", minimum=4, maximum=10, step=0.5),
+        gr.Dropdown(["speed", "endurance", "technique", "recovery"], label="Today's Goal")
+    ],
+    outputs=gr.Textbox(label="AI Daily Plan"),
+    title="🧠 SwimCoach+ AI — Daily Plan"
+)
+
+# PAGE 2: Nutrition and Sleep Tracker (placeholder)
+def diet_sleep_tracker(sleep, image=None, food_name=""):
+    feedback = f"🛌 Sleep: {sleep} hrs — "
+    feedback += "Great recovery!" if sleep >= 8 else "Try to get more rest tonight."
+    if image:
+        feedback += "\n🍽️ Food: [AI Image Analysis Coming Soon]"
+    elif food_name:
+        feedback += f"\n🍽️ Food entered: {food_name} (Calorie/macros estimation coming soon)"
+    else:
+        feedback += "\n🍽️ No food data provided."
+    return feedback
+
+diet_sleep = gr.Interface(
+    fn=diet_sleep_tracker,
+    inputs=[
+        gr.Slider(label="Sleep Hours", minimum=4, maximum=10, step=0.5),
+        gr.Image(type="filepath", label="Upload Food Photo (optional)"),
+        gr.Textbox(label="Or Type Food Name (e.g. '2 eggs and toast')")
+    ],
+    outputs=gr.Textbox(label="Nutrition & Sleep Feedback"),
+    title="🍽️ Nutrition + 💤 Sleep Tracker"
+)
+
+# PAGE 3: Swim Technique Analyzer (placeholder)
+def analyze_swim(video, stroke_type):
+    return f"Received video for stroke: {stroke_type}. AI analysis coming soon."
+
+technique_analyzer = gr.Interface(
+    fn=analyze_swim,
+    inputs=[
+        gr.Video(label="Upload Swim Video"),
+        gr.Dropdown(["freestyle", "backstroke", "breaststroke", "butterfly"], label="Stroke Type")
+    ],
+    outputs="text",
+    title="🏊 AI Swim Technique Analyzer"
+)
+
+# PAGE 4: Profile
+profile_data = {}
+
+def save_profile(name, age, gender, goal, diet_type, pb100free):
+    profile_data["name"] = name
+    profile_data["age"] = age
+    profile_data["gender"] = gender
+    profile_data["goal"] = goal
+    profile_data["diet"] = diet_type
+    profile_data["pb100free"] = pb100free
+    return f"✅ Profile saved for {name} (100 Free PB: {pb100free} sec)"
+
+profile = gr.Interface(
+    fn=save_profile,
+    inputs=[
+        gr.Textbox(label="Name"),
+        gr.Number(label="Age"),
+        gr.Dropdown(["Male", "Female", "Other"], label="Gender"),
+        gr.Dropdown(["speed", "endurance", "technique", "recovery"], label="Main Goal"),
+        gr.Dropdown(["None", "Vegetarian", "Vegan", "High Protein"], label="Diet Type"),
+        gr.Number(label="100 Free Personal Best (sec)")
+    ],
+    outputs="text",
+    title="👤 Swimmer Profile"
+)
+
+# MULTI-PAGE APP
+gr.TabbedInterface(
+    [daily_plan, diet_sleep, technique_analyzer, profile],
+    tab_names=["📅 Daily Plan", "🍴 Nutrition & Sleep", "📹 Technique", "👤 Profile"]
+).launch()

requirements.txt

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+gradio