adding new files 29Dec2023

app.py

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+import streamlit as st
+import pandas as pd
+import numpy as np
+import joblib
+from collections import Counter
+
+model = joblib.load('random_forest_model.joblib')
+scaler = joblib.load('scaler.joblib')
+
+def preprocess_uploaded_file(uploaded_df, scaler, num_scans=15):
+    uploaded_df.columns = ['wavelengths'] + [f'SCAN{i}' for i in range(1, uploaded_df.shape[1])]
+    template_data = {'wavelengths': uploaded_df['wavelengths']}
+    for i in range(1, num_scans + 1):
+        template_data[f'SCAN{i}'] = 0
+    template_df = pd.DataFrame(template_data)
+    for column in uploaded_df.columns:
+        if column in template_df.columns:
+            template_df[column] = uploaded_df[column]
+    template_df_cleaned = template_df.dropna(axis=1)
+    preprocessed_df = scaler.transform(template_df_cleaned)
+    return preprocessed_df
+
+st.image('logo.png', caption=None, width=None, use_column_width=None, clamp=False, channels="RGB", output_format="auto")
+
+st.markdown("<h3 style='text-align: center; color: grey;'>Hyperspectral Based System For Identification Of Common Bean Genotypes Resistant To Foliar Diseases</h2>", unsafe_allow_html=True)
+
+uploaded_file = st.file_uploader('Choose a CSV file', type='csv')
+
+if uploaded_file is not None:
+    input_df = pd.read_csv(uploaded_file)
+    preprocessed_input = preprocess_uploaded_file(input_df, scaler)
+    predictions = model.predict(preprocessed_input)
+    most_common_class = Counter(predictions).most_common(1)[0][0]
+    if most_common_class == 'Resistant':
+        st.write('The Plant is resistant to foliar diseases.')
+    elif most_common_class == 'Medium':
+        st.write('The Plant shows medium resistance to foliar diseases.')
+    elif most_common_class == 'Susceptible':
+        st.write('The Plant is susceptible to foliar diseases.')

random_forest_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e28ef74a5127efd34b6ff199c22f671f5ab383f0de48073acc22bd4fd138beae
+size 6313940

random_forest_modelNew.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b8ce1e9d3eea3d534d360f8ffe5cbf3d64b7cf21baaf51346408434f1f27825b
+size 6319361

requirements.txt

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+scikit-learn==1.2.2
+joblib==1.3.2 
+collections
+pandas==2.0.3
+numpy==1.24.4

scaler.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33f96aeef4a3ab565b7953d920314a792938db492ad334d6754ba329db663c57
+size 1420

scalerNew.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9b68e4413be2a55d2a39c553958359cb7ca97d19fc853f369258e28c69017c52
+size 1495