Update app.py

app.py

@@ -7,15 +7,16 @@ import io
 # BuildSmart Estimator using Groq
 # -------------------------------
 
+# Page Configuration
 st.set_page_config(page_title="BuildSmart Estimator", page_icon="🏗️")
 st.title("🏗️ BuildSmart Estimator")
-st.subheader("Estimate construction materials based on project details")
+st.subheader("Estimate construction materials based on your project details")
 
-# Securely fetch Groq API key from Streamlit secrets
+# Load Groq API Key securely from secrets
 GROQ_API_KEY = st.secrets["GROQ_API_KEY"]
-GROQ_MODEL = "llama3-70b-8192"  # Recommended and supported
+GROQ_MODEL = "llama3-70b-8192"  # You can change this if Groq updates their models
 
-# Form inputs
+# Form for user input
 with st.form("estimator_form"):
     total_area = st.number_input("Total Area (in square feet)", min_value=100, step=50)
     floors = st.number_input("Number of Floors", min_value=1, step=1)
@@ -24,29 +25,28 @@ with st.form("estimator_form"):
     location = st.text_input("Location", placeholder="e.g., Lahore, Karachi, etc.")
     submitted = st.form_submit_button("Estimate Materials")
 
-# Prompt constructor
+# Prompt builder for Groq
 def build_prompt(area, floors, structure, material, loc):
     return f"""
-You are a construction cost estimator bot. Based on the following user inputs, estimate the quantity of construction materials needed.
+You are a construction estimator bot. Based on the following user inputs, estimate the quantity of construction materials needed.
 
-Project Details:
+Project:
 - Total Area: {area} sq ft
-- Number of Floors: {floors}
-- Structure Type: {structure}
+- Floors: {floors}
+- Structure: {structure}
 - Material Preference: {material}
 - Location: {loc}
 
-Return only the estimated material quantities in this format:
-
-Cement (bags): 
-Sand (cubic feet): 
-Bricks (units): 
-Steel (kg): 
-Crush (cubic feet): 
+Return the estimates in this format only:
+Cement (bags):
+Sand (cubic feet):
+Bricks (units):
+Steel (kg):
+Crush (cubic feet):
 Rori (cubic feet):
 """
 
-# Groq API function
+# Call Groq API
 def call_groq_api(prompt):
     headers = {
         "Authorization": f"Bearer {GROQ_API_KEY}",
@@ -59,28 +59,27 @@ def call_groq_api(prompt):
         ]
     }
     response = requests.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, json=payload)
-
     if response.status_code == 200:
         return response.json()["choices"][0]["message"]["content"]
     else:
         return f"❌ Error: {response.status_code} - {response.text}"
 
-# Run on form submission
+# When the form is submitted
 if submitted:
     prompt = build_prompt(total_area, floors, structure_type, material_pref, location)
-    with st.spinner("Estimating materials..."):
+    with st.spinner("Generating estimate..."):
         result = call_groq_api(prompt)
 
     # Display result
     st.markdown("### 📦 Estimated Material Requirements")
     st.text(result)
 
-    # CSV export
+    # CSV Download
     csv_buffer = io.StringIO()
     writer = csv.writer(csv_buffer)
     writer.writerow(["Material", "Quantity"])
 
-    for line in result.splitlines():
+    for line in result.strip().splitlines():
         if ":" in line:
             parts = line.split(":", 1)
             writer.writerow([parts[0].strip(), parts[1].strip()])
@@ -94,4 +93,4 @@ if submitted:
 
 # Footer
 st.markdown("---")
-st.caption("Powered by Groq · Securely using Streamlit secrets")
+st.caption("Built with ❤️ using Groq + Streamlit. Customize this app by editing `/streamlit_app.py`.")