Duplicate from XPMaster/KSA_Weather_Prediction

Co-authored-by: Mustafa Al Hamad <XPMaster@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz 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
+WeatherPredictionKSA.pk filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: KSA Weather Prediction
+emoji: 🦀
+colorFrom: pink
+colorTo: purple
+sdk: gradio
+sdk_version: 3.3.1
+app_file: app.py
+pinned: false
+duplicated_from: XPMaster/KSA_Weather_Prediction
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

WeatherPredictionKSA.pk

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5919d5c691ad5472b38426bc14640daad73bb5b86952171cfc85d88ad6386b39
+size 2676610127

app.py

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+import gradio as gr
+from backports.zoneinfo import ZoneInfo
+from datetime import datetime, timedelta, timezone
+import pickle
+import sklearn
+weathers = ['Broken clouds ',
+ 'Clear ',
+ 'Cloudy ',
+ 'Cool ',
+ 'Dense fog ',
+ 'Drizzle  Broken clouds ',
+ 'Drizzle  Dense fog ',
+ 'Drizzle  Fog ',
+ 'Drizzle  More clouds than sun ',
+ 'Drizzle  Mostly cloudy ',
+ 'Drizzle  Overcast ',
+ 'Drizzle  Partly sunny ',
+ 'Duststorm ',
+ 'Extremely hot ',
+ 'Fog ',
+ 'Hail  Cloudy ',
+ 'Hail  Partly sunny ',
+ 'Hail  Passing clouds ',
+ 'Haze ',
+ 'Heavy rain  More clouds than sun ',
+ 'Heavy rain  Mostly cloudy ',
+ 'Heavy rain  Overcast ',
+ 'Heavy rain  Partly sunny ',
+ 'Hot ',
+ 'Light rain  Broken clouds ',
+ 'Light rain  Fog ',
+ 'Light rain  More clouds than sun ',
+ 'Light rain  Mostly cloudy ',
+ 'Light rain  Overcast ',
+ 'Light rain  Partly cloudy ',
+ 'Light rain  Partly sunny ',
+ 'Light rain  Passing clouds ',
+ 'Light rain  Scattered clouds ',
+ 'Low level haze ',
+ 'Mild ',
+ 'More clouds than sun ',
+ 'Mostly cloudy ',
+ 'Overcast ',
+ 'Partly cloudy ',
+ 'Partly sunny ',
+ 'Passing clouds ',
+ 'Pleasantly warm ',
+ 'Rain  Broken clouds ',
+ 'Rain  Clear ',
+ 'Rain  Fog ',
+ 'Rain  More clouds than sun ',
+ 'Rain  Mostly cloudy ',
+ 'Rain  Overcast ',
+ 'Rain  Partly cloudy ',
+ 'Rain  Partly sunny ',
+ 'Rain  Passing clouds ',
+ 'Rain  Sandstorm ',
+ 'Rain  Scattered clouds ',
+ 'Rain showers  Partly sunny ',
+ 'Refreshingly cool ',
+ 'Sandstorm ',
+ 'Scattered clouds ',
+ 'Smoke ',
+ 'Sprinkles  Cloudy ',
+ 'Sprinkles  Duststorm ',
+ 'Sprinkles  Low level haze ',
+ 'Sprinkles  Overcast ',
+ 'Strong thunderstorms  Cloudy ',
+ 'Strong thunderstorms  More clouds than sun ',
+ 'Strong thunderstorms  Partly sunny ',
+ 'Sunny ',
+ 'Thundershowers  Partly sunny ',
+ 'Thundershowers  Passing clouds ',
+ 'Thundershowers  Scattered clouds ',
+ 'Thunderstorms  Broken clouds ',
+ 'Thunderstorms  Cloudy ',
+ 'Thunderstorms  Fog ',
+ 'Thunderstorms  More clouds than sun ',
+ 'Thunderstorms  Mostly cloudy ',
+ 'Thunderstorms  Overcast ',
+ 'Thunderstorms  Partly cloudy ',
+ 'Thunderstorms  Partly sunny ',
+ 'Thunderstorms  Passing clouds ',
+ 'Thunderstorms  Sandstorm ',
+ 'Thunderstorms  Scattered clouds ',
+ 'Warm ']
+
+months = ['January', 'February', 'March', 'April', 'May', 'June', 'July','August', 'September', 'October', 'November', 'December']
+
+cities = ['Assir',
+ 'Baha',
+ 'EP',
+ 'Hail',
+ 'Jawf',
+ 'Jazan',
+ 'Madina',
+ 'Mecca',
+ 'Najran',
+ 'Northern boarder',
+ 'Qassim',
+ 'Riyadh',
+ 'Tabuk']
+
+def predict(city,month,year,day,hour,minute,weathertype,wind,hu,baro,vis):
+  
+  loaded_model = pickle.load(open("WeatherPredictionKSA.pk", 'rb'))
+  details = [cities.index(city),year,months.index(month),day,hour,minute,weathers.index(weathertype),wind,hu,baro,vis]
+  temp = int(loaded_model.predict([details]))
+  if temp >= 50:
+    emoji = "🥵"
+  elif 40 <= temp <= 49:
+    emoji = "😳"
+  elif 25 <= temp <= 39:
+    emoji = "😌"
+  elif 10 <= temp <= 24:
+    emoji = "😊"
+  elif temp <= 9:
+    emoji = "🥶"
+  return gr.Textbox.update("🌡️ {0} C {1}🌡️".format(temp,emoji))
+ 
+with gr.Blocks() as demo:
+  currentSecond= datetime.now().second
+  currentMinute = datetime.now().minute
+  currentHour = datetime.now().hour
+  currentDay = datetime.now().day
+  currentMonth = datetime.now().month
+  currentYear = datetime.now().year
+  dt = datetime(currentYear, currentMonth, currentDay, tzinfo=ZoneInfo("Asia/Riyadh"))
+  fulltime = str(dt)
+  ADD = 0
+  try:
+    if "+" in fulltime:
+      ADD = int(fulltime.split("+")[1].split(":")[0])
+    elif "-" in fulltime:
+      ADD = int(fulltime.split("-")[1].split(":")[0]) * -1
+  except:
+    pass
+  with gr.Row():
+    gr.Markdown("# 🌧️☁️☀️KSA Weather prediction ☀️☁️🌧️\n**Day, Hour, and Minute** are set to **Asia/Riyadh** current time by default but can be changed")
+  with gr.Box():
+    with gr.Row():
+      city = gr.Dropdown(cities,label='City',value='Assir',interactive=True)
+      month = gr.Dropdown(months,label='Month',value=months[currentMonth-1],interactive=True)
+    with gr.Row():
+      year = gr.Number(int(currentYear),label='Year',interactive=True)
+      day = gr.Number(int(currentDay),label='Day',interactive=True)
+      hour = gr.Number(int(currentHour)+ADD,label='Hour',interactive=True)
+      minute = gr.Number(int(currentMinute),label='Minute',interactive=True)
+    with gr.Row():
+      weathertype = gr.Dropdown(weathers,label='Weather type',value='Cloudy ',interactive=True)
+      wind = gr.Number(label='Wind',interactive=True)
+      hu = gr.Number(label='Humidity',interactive=True)
+      baro = gr.Number(label='Barometer',interactive=True)
+      vis = gr.Number(label='Visibility',interactive=True)
+    with gr.Row():
+      temp = gr.Textbox("😊😌Awaiting input😳🥵",label='Predicted temp',interactive=False)
+  btn = gr.Button(value="Predict")
+  btn.click(predict, inputs=[city,month,year,day,hour,minute,weathertype,wind,hu,baro,vis], outputs=temp)
+
+demo.launch()

requirements.txt

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+backports.zoneinfo
+scikit-learn>=1.0.1