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from config import crop_model, crop_pipeline_encoder, crop_label_encoder
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from config import fertilizer_model, fertilizer_pipeline_encoder, fertilizer_label_encoder
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from utils import retrieve_image_by_name_from_mongodb, retrieve_data
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from flask import Flask, request, render_template, jsonify
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import requests
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import os
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import numpy as np
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import base64
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app = Flask(__name__)
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@app.route("/")
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@app.route("/home")
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def home():
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return render_template('index.html')
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@app.route('/crop_recommendation', methods=['GET', 'POST'])
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def crop_recommendation():
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return render_template('crop_recommendation_input.html')
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@app.route("/crop_recommendation_output", methods=['GET', 'POST'])
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def crop_recommendation_output():
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temperature = request.form.get("temperature")
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humidity = request.form.get("humidity")
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ph = request.form.get("ph")
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nitrogen = request.form.get("nitrogen")
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potassium = request.form.get("potassium")
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phosphorous = request.form.get("phosphorous")
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rain_fall = request.form.get("rain_fall")
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input_list = [nitrogen, phosphorous, potassium, temperature, humidity, ph, rain_fall]
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input_array = np.array(input_list).reshape(-1, 7).astype(int)
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transformed_data = crop_pipeline_encoder.transform(input_array)
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model_prediction = crop_model.predict(transformed_data).astype(int)
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label = crop_label_encoder.inverse_transform(model_prediction)
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image_data = retrieve_image_by_name_from_mongodb(database_name=os.getenv("CROP_DB_NAME"),
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collection_name=os.getenv("CROP_IMAGE_COLLECTION_NAME"),
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file_name=str(label[0]))
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image_data_base64 = base64.b64encode(image_data).decode('utf-8')
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crop_details = retrieve_data(database_name=os.getenv("CROP_DB_NAME"), collection_name= os.getenv("CROP_INFO_COLLECTION_NAME"), search_query=label[0])
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return render_template('crop_recommendation_output.html', image_data_base64=image_data_base64, input_file_name=label[0], crop_details=crop_details)
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@app.route('/fertilizer_recommendation', methods=['GET', 'POST'])
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def fertilizer_recommendation():
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return render_template('fertilizer_recommendation_input.html')
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@app.route('/fertilizer_recommendation_output', methods=['GET', 'POST'])
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def fertilizer_recommendation_output():
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temperature = request.form.get("temperature")
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humidity = request.form.get("humidity")
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moisture = request.form.get("moisture")
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nitrogen = request.form.get("nitrogen")
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potassium = request.form.get("potassium")
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phosphorous = request.form.get("phosphorous")
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soil_type = request.form.get("soil_type")
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crop_type = request.form.get("crop_type")
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input_data = [int(temperature), int(humidity), int(moisture), soil_type, crop_type, int(nitrogen), int(potassium), int(phosphorous)]
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input_array = np.array(input_data).reshape(-1, 8)
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transformed_data = fertilizer_pipeline_encoder.transform(input_array)
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model_prediction = fertilizer_model.predict(transformed_data).astype(int)
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label = fertilizer_label_encoder.inverse_transform(model_prediction)
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image_data = retrieve_image_by_name_from_mongodb(database_name=os.getenv("FERTILIZER_DB_NAME"),
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collection_name=os.getenv("FERTILIZER_IMAGE_COLLECTION_NAME"),
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file_name=str(label[0]))
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image_data_base64 = base64.b64encode(image_data).decode('utf-8')
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fertilizer_details = retrieve_data(database_name=os.getenv("FERTILIZER_DB_NAME"), collection_name= os.getenv("FERTILIZER_INFO_COLLECTION_NAME"), search_query=label[0])
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return render_template('fertilizer_recommendation_ouput.html', image_data_base64=image_data_base64, label= label[0], fertilizer_details=fertilizer_details)
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@app.route('/image_classification')
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def image_classification():
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return render_template('image_classification_input.html')
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@app.route('/market_price')
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def market_price():
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return render_template("market_price_input.html")
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@app.route('/market_price_output', methods=['POST'])
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def market_price_output():
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user_input = request.form.get('selected_state')
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api_key = "579b464db66ec23bdd000001cdd3946e44ce4aad7209ff7b23ac571b"
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api_url = f'https://api.data.gov.in/resource/9ef84268-d588-465a-a308-a864a43d0070?api-key={api_key}&format=json&filters%5Bstate%5D={user_input}'
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response = requests.get(api_url)
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if response.status_code == 200:
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data = response.json()
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data = data['records']
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return render_template('market_price_output.html', data=data)
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else:
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return jsonify({'error': 'Unable to fetch data from the API'}), 400
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if __name__ == "__main__":
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app.run(debug=True, host="0.0.0.0", port=8000) |