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.gitignore

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+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv

.python-version

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+3.13

README.md

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----
-title: Mlops Git Hf
-emoji: 📈
-colorFrom: gray
-colorTo: indigo
-sdk: gradio
-sdk_version: 5.42.0
-app_file: app.py
-pinned: false
-license: mit
-short_description: new
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+from fetch_data import get_weather_data
+
+st.set_page_config(page_title="🌤 Weather App", layout="centered")
+
+st.title("🌤 Weather Dashboard")
+st.write("Enter a city name to get real-time weather data from OpenWeather.")
+
+city = st.text_input("City Name", value="Dumka")
+
+if st.button("Get Weather"):
+    df, error = get_weather_data(city)
+    if error:
+        st.error(error)
+    else:
+        st.dataframe(df)
+        st.success(f"Weather data for {city} loaded successfully!")

fetch_data.py

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+# import required modules
+import requests,json
+import os
+from dotenv import load_dotenv
+import pandas as pd
+load_dotenv()
+api_key =os.getenv("OPENWEATHER_API_KEY") 
+#input_city = "Kolkata"
+def get_weather(input_city):
+    
+    base_url = "http://api.openweathermap.org/data/2.5/weather"
+
+    url=f"{base_url}?q={input_city}&appid={api_key}"
+    r = requests.get(url)
+    data = r.json()
+    return data
+
+# make a function to get the above data
+
+def get_weather_data(city):
+    """Process weather data and return a pandas DataFrame + error message."""
+    data = get_weather(city)
+
+    # API error handling
+    if not isinstance(data, dict) or data.get("cod") != 200:
+        return None, f"Error: {data.get('message', 'Unknown error')}"
+
+    try:
+        weather_data = {
+            'City': data['name'],
+            'Country': data['sys']['country'],
+            'Longitude': data['coord']['lon'],
+            'Latitude': data['coord']['lat'],
+            'Weather Description': data['weather'][0]['description'],
+            'Temperature (°C)': round(data['main']['temp'] - 273.15, 2),
+            'Pressure (hPa)': data['main']['pressure'],
+            'Humidity (%)': data['main']['humidity'],
+            'Wind Speed (m/s)': data['wind']['speed'],
+            'Wind Direction (°)': data['wind'].get('deg', None),
+            'Cloudiness (%)': data['clouds']['all'],
+            'Sunrise (UTC)': pd.to_datetime(data['sys']['sunrise'], unit='s'),
+            'Sunset (UTC)': pd.to_datetime(data['sys']['sunset'], unit='s')
+        }
+
+        df = pd.DataFrame([weather_data])
+        return df, None
+
+    except Exception as e:
+        return None, f"Processing error: {str(e)}"

main.py

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+def main():
+    print("Hello from opne-weatherui!")
+
+
+if __name__ == "__main__":
+    main()

pyproject.toml

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+[project]
+name = "opne-weatherui"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = []

requirements.txt

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+pandas
+numpy
+scikit-learn
+matplotlib
+seaborn
+joblib
+requests
+streamlit
+huggingface_hub
+dotenv
+python-dotenv
+gradio
+streamlit

test.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "1ab5f09d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import required modules\n",
+    "import requests,json\n",
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "import pandas as pd\n",
+    "load_dotenv()\n",
+    "api_key =os.getenv(\"OPENWEATHER_API_KEY\") \n",
+    "input_city = \"Kolkata\"\n",
+    "def get_weather(input_city):\n",
+    "    \n",
+    "    base_url = \"http://api.openweathermap.org/data/2.5/weather\"\n",
+    "\n",
+    "    url=f\"{base_url}?q={input_city}&appid={api_key}\"\n",
+    "    r = requests.get(url)\n",
+    "    data = r.json()\n",
+    "    return data\n",
+    "\n",
+    "# make a function to get the above data\n",
+    "def get_weather_data(input_city):\n",
+    "    data = get_weather(input_city)\n",
+    "    weather_data = { \n",
+    "        'City': data['name'],\n",
+    "        'Country': data['sys']['country'],\n",
+    "        'Longitude': data['coord']['lon'],\n",
+    "        'Latitude': data['coord']['lat'],\n",
+    "        'Weather Description': data['weather'][0]['description'],\n",
+    "        'Temperature (K)': data['main']['temp'],\n",
+    "        'Pressure (hPa)': data['main']['pressure'],\n",
+    "        'Humidity (%)': data['main']['humidity'],\n",
+    "        'Wind Speed (m/s)': data['wind']['speed'],\n",
+    "        'Wind Direction (degrees)': data['wind']['deg'],\n",
+    "        'Cloudiness (%)': data['clouds']['all'],\n",
+    "        'Sunrise (UTC)': pd.to_datetime(data['sys']['sunrise'], unit='s'),\n",
+    "        'Sunset (UTC)': pd.to_datetime(data['sys']['sunset'], unit='s')\n",
+    "    }\n",
+    "    return pd.DataFrame([weather_data])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "5480d192",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>City</th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>Weather Description</th>\n",
+       "      <th>Temperature (K)</th>\n",
+       "      <th>Pressure (hPa)</th>\n",
+       "      <th>Humidity (%)</th>\n",
+       "      <th>Wind Speed (m/s)</th>\n",
+       "      <th>Wind Direction (degrees)</th>\n",
+       "      <th>Cloudiness (%)</th>\n",
+       "      <th>Sunrise (UTC)</th>\n",
+       "      <th>Sunset (UTC)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Kolkata</td>\n",
+       "      <td>IN</td>\n",
+       "      <td>88.3697</td>\n",
+       "      <td>22.5697</td>\n",
+       "      <td>overcast clouds</td>\n",
+       "      <td>301.81</td>\n",
+       "      <td>1004</td>\n",
+       "      <td>80</td>\n",
+       "      <td>4.06</td>\n",
+       "      <td>181</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2025-08-10 23:41:58</td>\n",
+       "      <td>2025-08-11 12:41:41</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      City Country  Longitude  Latitude Weather Description  Temperature (K)  \\\n",
+       "0  Kolkata      IN    88.3697   22.5697     overcast clouds           301.81   \n",
+       "\n",
+       "   Pressure (hPa)  Humidity (%)  Wind Speed (m/s)  Wind Direction (degrees)  \\\n",
+       "0            1004            80              4.06                       181   \n",
+       "\n",
+       "   Cloudiness (%)       Sunrise (UTC)        Sunset (UTC)  \n",
+       "0             100 2025-08-10 23:41:58 2025-08-11 12:41:41  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = get_weather_data(input_city)\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "87459352",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d22db19",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9404e33b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}