Upload 11 files

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Air-Quality-INDEX.jpg filter=lfs diff=lfs merge=lfs -text
+g.jpg filter=lfs diff=lfs merge=lfs -text

Model.py

@@ -0,0 +1,89 @@
+import streamlit as st
+import pickle
+import numpy as np
+
+# Load the trained model
+model_path = "final.pkl"
+with open(model_path, "rb") as f:
+    model = pickle.load(f)
+
+# Set page configuration
+st.set_page_config(page_title="AQI Prediction App", page_icon="🌍", layout="centered")
+
+
+# Custom CSS for styling
+st.markdown("""
+    <style>
+        .stApp {
+                background-color: #015551;
+                color: white;
+        }
+        .title {
+            text-align: center;
+            color: #4CAF50;
+            font-size: 40px;
+        }
+        .stTextInput label {
+            font-size: 18px;
+            font-weight: bold;
+        }
+    </style>
+""", unsafe_allow_html=True)
+
+# Page title
+st.markdown('<p class="title"><h1>🌍 AQI Prediction App</h1></p>', unsafe_allow_html=True)
+
+st.write("### Enter Air Quality Parameters Below:")
+
+# Create input fields for user inputs
+col1, col2 = st.columns(2)
+
+with col1:
+    pm25 = st.text_input("PM2.5", "50.0")
+    pm10 = st.text_input("PM10", "100.0")
+    no = st.text_input("NO", "20.0")
+    no2 = st.text_input("NO2", "30.0")
+
+with col2:
+    nox = st.text_input("NOx", "50.0")
+    nh3 = st.text_input("NH3", "20.0")
+    co = st.text_input("CO", "1.0")
+    so2 = st.text_input("SO2", "10.0")
+
+o3 = st.text_input("O3 (Ozone)", "25.0")
+benzene = st.text_input("Benzene", "5.0")
+
+
+# Convert input values to a NumPy array (ensuring correct type)
+try:
+    user_input = np.array([[float(pm25), float(pm10), float(no), float(no2), float(nox), 
+                            float(nh3), float(co), float(so2), float(o3), float(benzene), 
+                            ]])
+    
+    # Predict AQI on button click
+    if st.button("Predict AQI"):
+        prediction = model.predict(user_input)[0]
+        
+        # Display prediction with styling
+        st.success(f"🌍 **Predicted AQI:** {prediction:.2f}")
+
+        # Provide AQI category based on the value
+        if prediction <= 50:
+            st.info("**AQI Category: Good (🟢)**")
+        elif prediction <= 100:
+            st.info("**AQI Category: Satisfactory (🟡)**")
+        elif prediction <= 200:
+            st.warning("**AQI Category: Moderate (🟠)**")
+        elif prediction <= 300:
+            st.error("**AQI Category: Poor (🔴)**")
+        elif prediction <= 400:
+            st.error("**AQI Category: Very Poor (🟣)**")
+        else:
+            st.error("**AQI Category: Hazardous (⚫)**")
+
+except ValueError:
+    st.error("❌ Please enter valid numerical values for all inputs.")
+
+
+
+

README.md

@@ -1,12 +1,12 @@
 ---
-title: Air Quality Ml
-emoji: 👀
+title: AQI Prediction
+emoji: 🦀
 colorFrom: yellow
-colorTo: green
+colorTo: gray
 sdk: streamlit
-sdk_version: 1.45.0
-app_file: app.py
+sdk_version: 1.43.2
+app_file: Model.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Unconfirmed 257564.crdownload

@@ -0,0 +1,5 @@
+home = C:\Users\Kaustubh Yewale\AppData\Local\Microsoft\WindowsApps\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0
+include-system-site-packages = false
+version = 3.12.7
+executable = C:\Users\Kaustubh Yewale\AppData\Local\Microsoft\WindowsApps\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\python.exe
+command = C:\Users\Kaustubh Yewale\AppData\Local\Microsoft\WindowsApps\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\python.exe -m venv E:\Innomatics\machine learning\streamlit\streamlit_24_25

final.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00ad355eaa4ddb730fe390beb17157e10e993219fc1fbc512c2dfb6ecc47616a
+size 3154551

requirements.txt

@@ -0,0 +1,53 @@
+altair==5.4.1
+attrs==24.2.0
+blinker==1.9.0
+cachetools==5.5.0
+certifi==2024.8.30
+charset-normalizer==3.4.0
+click==8.1.7
+colorama==0.4.6
+contourpy==1.3.1
+cycler==0.12.1
+fonttools==4.56.0
+gitdb==4.0.11
+GitPython==3.1.43
+idna==3.10
+Jinja2==3.1.4
+joblib==1.4.2
+jsonschema==4.23.0
+jsonschema-specifications==2024.10.1
+kiwisolver==1.4.8
+markdown-it-py==3.0.0
+MarkupSafe==3.0.2
+matplotlib==3.10.1
+mdurl==0.1.2
+narwhals==1.14.1
+numpy==2.1.3
+packaging==24.2
+pandas==2.2.3
+pillow==11.0.0
+protobuf==5.28.3
+pyarrow==18.0.0
+pydeck==0.9.1
+Pygments==2.18.0
+pyparsing==3.2.1
+python-dateutil==2.9.0.post0
+pytz==2024.2
+referencing==0.35.1
+requests==2.32.3
+rich==13.9.4
+rpds-py==0.21.0
+scikit-learn==1.6.1
+scipy==1.15.2
+seaborn==0.13.2
+six==1.16.0
+smmap==5.0.1
+streamlit==1.40.1
+tenacity==9.0.0
+threadpoolctl==3.6.0
+toml==0.10.2
+tornado==6.4.2
+typing_extensions==4.12.2
+tzdata==2024.2
+urllib3==2.2.3
+watchdog==6.0.0