Upload 3 files

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+# Load the model
+learn = load_learner('export.pkl')
+
+# Prediction function
+def make_prediction(user_sentence):
+  
+  prediction = learn.predict(user_sentence)
+  dict = {1: 'Negative', 2: 'Neutral', 3: 'Positive'}
+  return dict[prediction]
+
+title = "Sentiment Analysis MyAnimeList Reviews with fastai"
+description = "<p style='text-align: center'>Identifier si un commentaire dans MyAnimeList est positif, neutre ou négatif.<br/> Permet de connaître rapidement le sentiment globale que dégage un avis sur le site.</p>"
+examples = ["I liked this show but now I do not love this since the last season. The animation is terrible and the drawings are awful. I don't recommend this show to anyone.", "This is amazing !"]
+
+app = gr.Interface(fn=make_prediction, title=title, description=description, examples=examples, inputs=gr.TextArea(), outputs='text')
+
+app.launch()

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a0674881477460e3e25db0ad44f493c3b9589c38c82abf0a5bc34b9671a642e4
+size 144990323

requirements.txt

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+fastai