Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from gensim.models import Word2Vec
+import keras
+from keras.utils.data_utils import pad_sequences
+import requests
+import shutil
+import requests
+
+def get_model(filename, url):
+ response = requests.get(url, stream=True)
+ with open(filename, 'wb') as fin:
+ shutil.copyfileobj(response.raw, fin)
+
+get_model("word2vec_xp8.model", "https://github.com/chap0lin/PPF-MCTI/blob/master/Meta10/pesos/word2vec/word2vec_xp8.model?raw=true")
+reloaded_w2v_model = Word2Vec.load('word2vec_xp8.model')
+
+
+def greet(name):
+ return list(reloaded_w2v_model.wv.vocab)
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()