EdZ543
commited on
Commit
•
d6eaf98
1
Parent(s):
43dde99
Add anime selection
Browse filesFormer-commit-id: 8543a83f1cbed17a0956c6e1021a480a527af98c
- .DS_Store +0 -0
- app.py +61 -4
- data/anime_embeddings.csv.REMOVED.git-id +1 -0
- data/anime_indexes.csv +0 -0
- data/model.onnx +3 -0
- flagged/log.csv +3 -0
.DS_Store
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Binary file (6.15 kB). View file
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app.py
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@@ -1,9 +1,66 @@
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import gradio as gr
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import os
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import gradio as gr
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import pandas as pd
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import numpy as np
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import requests
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from urllib import parse
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from dotenv import load_dotenv
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load_dotenv()
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anime_indexes = pd.read_csv("./data/anime_indexes.csv")
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animes = anime_indexes["Anime"].values.tolist()
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MAL_CLIENT_ID = os.getenv("MAL_CLIENT_ID")
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def fetch_anime_image(anime):
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query_url = f"https://api.myanimelist.net/v2/anime?q={parse.quote(anime)}&limit=1"
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headers = {"X-MAL-CLIENT-ID": MAL_CLIENT_ID}
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query_response = requests.get(query_url, headers=headers)
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image_url = query_response.json()["data"][0]["node"]["main_picture"]["large"]
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return image_url
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def recommend(anime):
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return None
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css = """
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#selection_column {align-items: center}
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"""
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with gr.Blocks(css=css) as space:
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gr.Markdown(
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"""
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# Anime Collaborative Filtering Recommender
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This is a Pytorch recommendation model that uses neural collaborative filtering.
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Enter an anime, and it will suggest similar shows!
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"""
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)
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with gr.Box():
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gr.Markdown("Enter an anime:")
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with gr.Column(elem_id="selection_column"):
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dropdown = gr.Dropdown(container=False, choices=animes)
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selection_image = gr.Image(show_label=False, width=225, visible=False)
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gallery = gr.Gallery(label="Recommendations")
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def submit(anime):
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if anime is None:
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return {
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selection_image: gr.update(visible=False),
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gallery: gr.update(value=[]),
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}
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selection_image_url = fetch_anime_image(anime)
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return {
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selection_image: gr.update(visible=True, value=selection_image_url),
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}
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dropdown.change(fn=submit, inputs=dropdown, outputs=[selection_image, gallery])
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space.launch()
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data/anime_embeddings.csv.REMOVED.git-id
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99eecf79e2202579192c9d55c0e57797e5e6fc31
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data/anime_indexes.csv
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The diff for this file is too large to render.
See raw diff
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data/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:48749adb822c3263d0908ada04a644f998d38766d7e5a8a470d3dff478ee316a
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size 36209589
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flagged/log.csv
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@@ -0,0 +1,3 @@
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name,output,flag,username,timestamp
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World,Hello World!!,,,2023-07-20 12:35:48.395137
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World,Hello World!!,,,2023-07-20 12:35:52.353118
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