update

README.md

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+---
+title: predict_weather
+colorFrom: cyan
+colorTo: blue
+sdk: gradio
+sdk_version: 3.16.2
+app_file: app.py
+pinned: false
+---

app.py

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+import gradio as gr
+import torch, numpy as np, pandas as pd
+import skimage 
+import pickle
+
+default_columns = [
+  'Wind',
+  'Max Temperature',
+  'Min Temperature',
+  'Precipitation',
+]
+
+options = [
+  'drizzle',
+  'fog',
+  'rain',
+  'snow',
+  'sun',
+]
+
+with open("model.pkl", "rb") as f:
+  model = pickle.load(f)
+
+
+def predict(wind, max_temp, min_temp, precipitation):
+  f_wind = float(wind)
+  f_max_temp = float(max_temp)
+  f_min_temp = float(min_temp)
+  f_precipitation = float(precipitation)
+
+  default = [
+    f_wind,
+    f_max_temp,
+    f_min_temp,
+    f_precipitation,
+  ]
+
+  df = pd.DataFrame([default], columns=default_columns)
+
+  prediction = model.predict(df)
+
+  return options[prediction[0]]
+  
+iface = gr.Interface(
+  fn=predict,
+  title="Weather Prediction",
+  allow_flagging="never",
+  inputs=[
+    gr.inputs.Slider(0, 100, default=50, label="Wind"),
+    gr.inputs.Slider(0, 100, default=50, label="Max Temperature"),
+    gr.inputs.Slider(0, 100, default=50, label="Min Temperature"),
+    gr.inputs.Slider(0, 100, default=50, label="Precipitation"),
+  ],
+  outputs=[
+    gr.outputs.Label(label="Weather"),
+  ],
+)
+
+iface.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:90a63350fb9087ea7e09e026a5c28740cc100beeec25831eaefc4ebab08a2bbc
+size 3670

requirements.txt

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+fastai
+scikit-image
+pandas