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README.md
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---
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title: DataMining
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emoji: 🦀
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colorFrom: green
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colorTo: indigo
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sdk: gradio
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sdk_version: 4.7.1
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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import torch, numpy as np, pandas as pd
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import skimage
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import pickle
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defaultColumns = ['movieId', 'rating']
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movies_df = pd.read_csv("./csv/movies.csv")
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ratings_df = pd.read_csv("./csv/ratings.csv")
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options = movies_df['title'].values
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with open("model.pkl", "rb") as f:
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model = pickle.load(f)
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def recomendacao(filme, nota):
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f_filme = movies_df.loc[movies_df['title'] == filme]['movieId'][0]
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f_nota = float(nota)
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default = [
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f_filme,
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f_nota
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]
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df=pd.DataFrame([default], columns = defaultColumns)
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predictions = model.predict(df)
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user_rating = ratings_df.loc[ratings_df['userId'] == predictions[0]]
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top_ratings = user_rating.sort_values(by='rating', ascending=False)
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top_movies = top_ratings.head(5)['movieId'].tolist()
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recomendacoes = []
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for movie_id in top_movies:
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movie = movies_df.loc[movies_df['movieId'] == movie_id]
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title = movie['title'].values[0]
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recomendacoes.append(title)
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recomendacoes
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result = recomendacoes
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return result
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iface = gr.Interface(
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fn=recomendacao,
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title="Win Predict",
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allow_flagging="never",
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inputs=[
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gr.Dropdown(options, label="Filme", info="Escolha o nome de um filme"),
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gr.Slider(0, 5, value=0, label="Rating", info="Dê uma nota entre 0 e 5"),
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],
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outputs="text")
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iface.launch()
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca77c01c99177b42b4ca4e4e9bd55abc1266d14fa126f284cec36569897aea20
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size 92787829
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requirements.txt
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fastai
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scikit-image
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pandas
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