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laurabarredaagusti · Oct 8, 2022 · 2f88a47 · 2f88a47
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diff --git a/.DS_Store b/.DS_Store
diff --git a/app/Dockerfile b/app/Dockerfile
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+FROM python:3.7.13-bullseye
+WORKDIR app
+ENV FLASK_APP=app.py
+ENV FLASK_RUN_HOST 0.0.0.0
+COPY requirements.txt requirements.txt
+RUN python -m pip install --upgrade pip
+RUN python -m pip install -r requirements.txt
+COPY . . 
+EXPOSE 5000
+CMD ["python", "app.py"]
diff --git a/app/app.py b/app/app.py
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+from flask import Flask, render_template
+import pandas as pd
+from os import environ
+from functions import *
+
+app = app = Flask(__name__)
+
+@app.route("/", methods=['GET'])
+def hello():
+    return render_template('index.html')
+
+# 1. Devolver la predicción de los nuevos datos enviados mediante argumentos en la llamada
+@app.route('/predict', methods=['GET'])
+def predict():
+    model = load_models('sentiment_model')
+    text = get_arguments('text')
+    df = pd.DataFrame()
+    df['text'] = [text]
+    prediction = model.predict(df['text'])
+    prediction = prediction[0]
+    return render_template('predict.html', predict=prediction)
+
+if __name__ == '__main__':
+  app.run(debug = True, host = '0.0.0.0', port=environ.get("PORT", 5000))
diff --git a/app/functions.py b/app/functions.py
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+import pickle
+from flask import request
+
+def load_models(model_name):
+    path = 'static/models/' + model_name
+    return pickle.load(open(path,'rb'))
+
+def get_arguments(arg):
+    return request.args.get(arg, None)
diff --git a/app/requirements.txt b/app/requirements.txt
@@ -0,0 +1,3 @@
+Flask
+pandas
+sklearn
diff --git a/app/static/images/background.jpg b/app/static/images/background.jpg
diff --git a/app/static/images/title.jpeg b/app/static/images/title.jpeg
diff --git a/app/static/models/sentiment_model b/app/static/models/sentiment_model
diff --git a/app/templates/index.html b/app/templates/index.html
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+<!doctype html>
+<html>
+
+<head>
+    <title>European Soccer</title>
+    <meta name="description" content="European Soccer">
+    <meta name="keywords" content="European Soccer">
+    <style type="text/css">
+        body {
+            display: flex;
+            flex-direction: column;
+            align-items: center;
+            margin: 150px;
+            padding: 0px;
+            background-image: url('static/images/background.jpg');
+            background-size: cover;
+        } 
+        .form {
+            display: flex;
+            flex-direction: column;
+            padding: 3rem;
+        }
+    </style>
+</head>
+
+<body>
+</body>
+    <h1 style="color:white;font-family:verdana;">Sentiment analysis</h1>
+
+    <div class="forms">
+        <div class="form">
+            <h2 style="color:white;font-family:verdana;">Enter your text</h2>
+            <form method="get" action="/predict" autocomplete="on" >
+                <input type="text" name="text" /><br/>
+                <button type="submit">Submit</bsutton>
+            </form>
+        </div>
+    </div>
+
+</html>
diff --git a/app/templates/predict.html b/app/templates/predict.html
@@ -0,0 +1,30 @@
+<!doctype html>
+<html>
+
+<head>
+    <title>European Soccer</title>
+    <meta name="description" content="European Soccer">
+    <meta name="keywords" content="European Soccer">
+    <style type="text/css">
+        body {
+            display: flex;
+            flex-direction: column;
+            align-items: center;
+            margin: 150px;
+            padding: 0px;
+            background-image: url('static/images/background.jpg');
+            background-size: cover;
+        } 
+        .form {
+            display: flex;
+            flex-direction: column;
+            padding: 3rem;
+        }
+    </style>
+</head>
+
+<body>
+</body>
+    <div>{{predict}}</div>
+    <a href="/">Go Back</a>
+</html>
diff --git a/data/.DS_Store b/data/.DS_Store
diff --git a/data/tweets.csv b/data/tweets.csv
-Original file line number
+Diff line change
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+    Flask
+    pandas
+    sklearn