Update src/streamlit_app.py

src/streamlit_app.py

@@ -2,169 +2,107 @@ import streamlit as st
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import torch
 
-# 1. Basic Configuration
+# --------------------------------------------------
+# Page Config
+# --------------------------------------------------
 st.set_page_config(page_title="FitPlan AI", page_icon="💪", layout="centered")
 
+# --------------------------------------------------
+# Load Model (CACHED – IMPORTANT)
+# --------------------------------------------------
+@st.cache_resource
 def load_model():
-    tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base")
-    model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base")
+    tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small")
+    model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small")
     return tokenizer, model
- 
+
 tokenizer, model = load_model()
-    )
- 
-generator = load_model()
-# 2. Enhanced CSS
-st.markdown("""
-<style>
-    /* Full Page Background */
-    [data-testid="stAppViewContainer"] {
-        background: linear-gradient(rgba(0, 0, 0, 0.75), rgba(0, 0, 0, 0.75)), 
-                    url("https://images.unsplash.com/photo-1517836357463-d25dfeac3438?q=80&w=2070&auto=format&fit=crop");
-        background-size: cover;
-        background-position: center;
-        background-attachment: fixed;
-    }
-    /* Hide the "Press Enter to submit form" hint globally */
-    [data-testid="InputInstructions"] {
-        display: none !important;
-    }
-    /* Form Container Polish */
-    div[data-testid="stForm"] {
-        background-color: rgba(255, 255, 255, 0.98) !important;
-        padding: 3rem !important;
-        border-radius: 20px !important;
-        border: none !important;
-        box-shadow: 0 15px 35px rgba(0,0,0,0.5);
-    }
-    /* --- FONT SIZE UPDATES --- */
-    /* Main Title (FitPlan AI) */
-    .main-title {
-        color: #FFFFFF !important;
-        font-size: 60px !important;
-        font-weight: 850 !important;
-        text-align: center;
-        margin-bottom: 0px;
-        text-shadow: 3px 3px 6px rgba(0,0,0,0.9);
-        font-family: 'Helvetica Neue', sans-serif;
-    }
-    /* Subtitle (Your personalized gym companion) */
-    .sub-title {
-        color: #E0E0E0 !important;
-        font-size: 24px !important;
-        text-align: center;
-        margin-top: -10px;
-        margin-bottom: 40px;
-        font-style: italic;
-        text-shadow: 1px 1px 3px rgba(0,0,0,0.8);
-    }
-    /* Form Section Headers (Orange) */
-    .form-header {
-        color: #f97316 !important;
-        font-size: 22px !important;
-        font-weight: bold !important;
-        text-transform: uppercase;
-        letter-spacing: 1px;
-    }
-    /* Labels for inputs */
-    label p {
-        font-size: 18px !important;
-        color: #1e293b !important;
-        font-weight: 600 !important;
-    }
-    /* Button Styling */
-    .stButton > button {
-        width: 100%;
-        background: linear-gradient(90deg, #f97316, #ea580c) !important;
-        color: white !important;
-        font-size: 20px !important;
-        font-weight: bold !important;
-        height: 3.5rem !important;
-        border-radius: 12px !important;
-        border: none !important;
-        margin-top: 20px;
-    }
-</style>
-""", unsafe_allow_html=True)
 
 # --------------------------------------------------
-# UI Header Section
+# UI Header
 # --------------------------------------------------
-st.markdown('<p class="main-title">💪 FitPlan AI</p>', unsafe_allow_html=True)
-st.markdown('<p class="sub-title">Your personalized gym companion</p>', unsafe_allow_html=True)
+st.title("💪 FitPlan AI")
+st.subheader("AI-powered Fitness Planner")
 
 # --------------------------------------------------
-# Fitness Profile Form
+# Form
 # --------------------------------------------------
-with st.form("fitness_form", clear_on_submit=False):
-    st.markdown('<p class="form-header">🧍‍♂️ 1. PERSONAL INFORMATION</p>', unsafe_allow_html=True)
-    
-    name = st.text_input("Full Name *", placeholder="Enter your full name")
+with st.form("fitness_form"):
+
+    name = st.text_input("Full Name *")
 
     col1, col2 = st.columns(2)
     with col1:
-        height = st.number_input("Height (cm) *", min_value=0.0, step=1.0, value=0.0)
+        height = st.number_input("Height (cm) *", min_value=0.0)
     with col2:
-        weight = st.number_input("Weight (kg) *", min_value=0.0, step=0.1, value=0.0)
-
-    st.markdown("<br>", unsafe_allow_html=True)
-    st.markdown('<p class="form-header">🏋️ 2. FITNESS DETAILS</p>', unsafe_allow_html=True)
-    
-    goal = st.selectbox("Fitness Goal", ["Build Muscle", "Weight Loss", "Strength Gain", "Abs Building", "Flexible"])
-    
-    equipment = st.multiselect("Available Equipment", 
-                               ["Dumbbells", "Resistance Band", "Yoga Mat", "Kettlebell", "Pull-up Bar", "No Equipment"],
-                               default=["No Equipment"])
-    
-    level = st.radio("Fitness Level", ["Beginner", "Intermediate", "Advanced"], horizontal=True)
-
-    # SUBMIT BUTTON
-if st.button(" Submit Profile"):
- 
-    if not name:
+        weight = st.number_input("Weight (kg) *", min_value=0.0)
+
+    goal = st.selectbox(
+        "Fitness Goal",
+        ["Build Muscle", "Weight Loss", "Strength Gain", "Abs Building", "Flexible"]
+    )
+
+    equipment = st.multiselect(
+        "Available Equipment",
+        ["Dumbbells", "Resistance Band", "Yoga Mat", "No Equipment"]
+    )
+
+    level = st.radio(
+        "Fitness Level",
+        ["Beginner", "Intermediate", "Advanced"]
+    )
+
+    submit = st.form_submit_button("Generate Plan")
+
+# --------------------------------------------------
+# Logic
+# --------------------------------------------------
+if submit:
+
+    if not name.strip():
         st.error("Please enter your name.")
- 
     elif height <= 0 or weight <= 0:
-        st.error("Please enter valid height and weight.")
- 
-    elif not equipment:
-        st.error("Please select at least one equipment option.")
- 
+        st.error("Height and weight must be greater than zero.")
     else:
-        st.success(" Profile Submitted Successfully!")
- 
-        bmi_status = bmi_category(bmi)
-        equipment_list = ", ".join(equipment)
- 
+        # BMI Calculation
+        height_m = height / 100
+        bmi = round(weight / (height_m ** 2), 2)
+
+        # BMI Category
+        if bmi < 18.5:
+            bmi_status = "Underweight"
+        elif bmi < 24.9:
+            bmi_status = "Normal"
+        elif bmi < 29.9:
+            bmi_status = "Overweight"
+        else:
+            bmi_status = "Obese"
+
+        st.success(f"Profile created for {name}")
+        st.write(f"**BMI:** {bmi} ({bmi_status})")
+
         prompt = f"""
-You are a certified professional fitness trainer.
- 
-Create a detailed 5-day workout plan.
- 
-User Information:
-- Gender: {gender}
-- BMI: {bmi:.2f} ({bmi_status})
-- Goal: {goal}
-- Fitness Level: {fitness_level}
-- Equipment Available: {equipment_list}
- 
-Start directly with:
- 
-Day 1:
+You are a certified fitness trainer.
+
+Create a 5-day workout plan.
+
+User details:
+BMI: {bmi} ({bmi_status})
+Goal: {goal}
+Level: {level}
+Equipment: {", ".join(equipment) if equipment else "None"}
+
+Start with Day 1.
 """
- 
-        with st.spinner("Generating your AI workout plan..."):
- 
+
+        with st.spinner("Generating AI workout plan..."):
             inputs = tokenizer(prompt, return_tensors="pt", truncation=True)
- 
             outputs = model.generate(
                 **inputs,
-                max_new_tokens=900,
-                temperature=0.7,
-                do_sample=True
+                max_new_tokens=400,
+                temperature=0.7
             )
- 
-            result = tokenizer.decode(outputs[0], skip_special_tokens=True).strip()
- 
-        st.subheader(" Your Personalized Workout Plan")
-        st.write(result)
+
+        result = tokenizer.decode(outputs[0], skip_special_tokens=True)
+        st.subheader("🏋️ Your Workout Plan")
+        st.write(result)