Duplicate from fafiz/Parrotkan

.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,13 @@
+---
+title: Geckos
+emoji: 🌍
+colorFrom: red
+colorTo: gray
+sdk: gradio
+sdk_version: 3.16.2
+app_file: app.py
+pinned: false
+duplicated_from: fafiz/Parrotkan
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,36 @@
+import torch
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+model_name = 'prithivida/parrot_paraphraser_on_T5'
+torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
+tokenizer = AutoTokenizer.from_pretrained("prithivida/parrot_paraphraser_on_T5")
+model = AutoModelForSeq2SeqLM.from_pretrained("prithivida/parrot_paraphraser_on_T5")
+def get_response(input_text,num_return_sequences):
+  batch = tokenizer.prepare_seq2seq_batch([input_text],truncation=True,padding='longest',max_length=100, return_tensors="pt").to(torch_device)
+  translated = model.generate(**batch,max_length=100,num_beams=10, num_return_sequences=num_return_sequences, temperature=0.9)
+  tgt_text = tokenizer.batch_decode(translated, skip_special_tokens=True)
+  return tgt_text
+
+from sentence_splitter import SentenceSplitter, split_text_into_sentences
+
+splitter = SentenceSplitter(language='en')
+
+def paraphraze(text):
+  sentence_list = splitter.split(text)
+  paraphrase = []
+
+  for i in sentence_list:
+    a = get_response(i,1)
+    paraphrase.append(a)
+    paraphrase2 = [' '.join(x) for x in paraphrase]
+    paraphrase3 = [' '.join(x for x in paraphrase2) ]
+  paraphrased_text = str(paraphrase3).strip('[]').strip("'")
+  return paraphrased_text
+
+import gradio as gr
+def summarize(text):
+
+  paraphrased_text = paraphraze(text)
+  return paraphrased_text
+gr.Interface(fn=summarize, inputs=gr.inputs.Textbox(lines=7, placeholder="Enter text here"), outputs=[gr.outputs.Textbox(label="Paraphrased Text")],examples=[["My Geckhos."
+]]).launch(inline=False)

requirements.txt

@@ -0,0 +1,5 @@
+transformers
+torch
+sentence-splitter
+SentencePiece
+yake