Update src/streamlit_app.py
Browse files- src/streamlit_app.py +6 -6
src/streamlit_app.py
CHANGED
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@@ -1,5 +1,5 @@
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import streamlit as st
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import transformers
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from transformers import pipeline
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# --- Page Config ---
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@@ -23,7 +23,7 @@ if 'user_data' not in st.session_state:
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if 'profile_complete' not in st.session_state:
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st.session_state.profile_complete = False
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# ---
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def calculate_bmi(w, h_cm):
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if h_cm > 0:
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return round(w / ((h_cm / 100) ** 2), 2)
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@@ -36,7 +36,7 @@ def bmi_category(bmi):
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if bmi < 30: return "Overweight"
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return "Obese"
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# -
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@st.cache_resource
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def load_model():
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# Using text-generation as per the environment's supported list
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@@ -66,7 +66,7 @@ if menu == "👤 Profile":
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bmi = calculate_bmi(u_weight, u_height)
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#
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if st.button("Submit Profile"):
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if not name:
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@@ -87,7 +87,7 @@ if menu == "👤 Profile":
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bmi_status = bmi_category(bmi)
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equipment_list = ", ".join(equipment)
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#
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prompt = f"""
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Generate a 5-day structured workout plan.
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@@ -108,7 +108,7 @@ if menu == "👤 Profile":
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"""
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with st.spinner("Generating your AI workout plan..."):
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-
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result = generator(prompt, max_new_tokens=400)[0]["generated_text"]
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st.subheader("🏋️ Your Personalized Workout Plan")
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import streamlit as st
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import transformers
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from transformers import pipeline
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# --- Page Config ---
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if 'profile_complete' not in st.session_state:
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st.session_state.profile_complete = False
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# --- Functions ---
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def calculate_bmi(w, h_cm):
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if h_cm > 0:
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return round(w / ((h_cm / 100) ** 2), 2)
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if bmi < 30: return "Overweight"
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return "Obese"
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# - ---
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@st.cache_resource
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def load_model():
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# Using text-generation as per the environment's supported list
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bmi = calculate_bmi(u_weight, u_height)
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# ---
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if st.button("Submit Profile"):
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if not name:
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bmi_status = bmi_category(bmi)
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equipment_list = ", ".join(equipment)
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# Prompt
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prompt = f"""
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Generate a 5-day structured workout plan.
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"""
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with st.spinner("Generating your AI workout plan..."):
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+
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result = generator(prompt, max_new_tokens=400)[0]["generated_text"]
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st.subheader("🏋️ Your Personalized Workout Plan")
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