From f056ed2d5f4450f99d8285fe5e89eccf6c5f79b4 Mon Sep 17 00:00:00 2001
From: RaghavMangla <raghavmangla04@gmail.com>
Date: Thu, 4 Apr 2024 04:35:33 +0530
Subject: [PATCH] changes

---
 app.py           | 57 ------------------------------------------------
 requirements.txt |  3 +--
 2 files changed, 1 insertion(+), 59 deletions(-)
 delete mode 100644 app.py

diff --git a/app.py b/app.py
deleted file mode 100644
index 8d6f6e8..0000000
--- a/app.py
+++ /dev/null
@@ -1,57 +0,0 @@
-from flask import Flask,request, url_for, redirect, render_template
-import pickle
-import numpy as np
-import requests
-
-app = Flask(__name__)
-
-model=pickle.load(open('models/RandomForest.pkl','rb'))
-
-
-@app.route('/')
-def hello_world():
-    return render_template("form.html")
-
-
-
-# @app.route('/submit', methods=['GET', 'POST'])
-# def predict():
-#     if request.method == 'POST':
-#         try:
-#             features = [float(x) for x in request.form.values()]
-#             final = [np.array(features)]
-#             prediction = model.predict(final)
-#             print("Prediction successful:", prediction)
-#             return render_template('prediction.html', pred=prediction)
-#         except Exception as e:
-#             print("An error occurred:", e)
-#             return "An error occurred while processing the prediction."
-#     else:
-#         # Handle GET request (if needed)
-#         return render_template("form.html")
-
-feature_names = ['no2','so2','pm2_5','pm10','Leq','DO','pH','BOD','Land_use','NBR']
-
-@app.route('/submit', methods=['GET','POST'])
-def submit():
-    try:
-        features=[float(x) for x in request.form.values()]
-        final=[np.array(features)]
-        print("Input features:", final)
-        prediction = model.predict(final)
-        output=int(prediction[0])
-        print(output)
-        return render_template('prediction.html', result=output)
-    except Exception as e:
-        print("An error occurred:", e)
-        return f"An error occurred while processing the prediction: {str(e)}"
-
-@app.route('/predict_api',methods=['POST'])
-def predict_api():
-    data=request.get_json(force=True)
-    prediction=model.predict([np.array(list(data.values()))])
-    output=prediction[0]
-    return jsonify(output)
-
-if __name__ == '__main__':
-    app.run(host='0.0.0.0', port=3000)
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 1dae064..ebe6976 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,4 @@
+Flask==2.2.2
 matplotlib==3.7.2
 numpy==1.26.4
 pandas==2.0.3
@@ -6,5 +7,3 @@ Requests==2.31.0
 scikit_learn==1.3.1
 seaborn==0.13.2
 xgboost==0.90
-Flask
-pickle
\ No newline at end of file