Duplicate from Aaaaaaaabdualh/meter2poem-1

Co-authored-by: Taieeeeee <Aaaaaaaabdualh@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+title: Meter2poem 1
+emoji: 🐨
+colorFrom: gray
+colorTo: red
+sdk: gradio
+sdk_version: 3.2
+app_file: app.py
+pinned: false
+license: afl-3.0
+duplicated_from: Aaaaaaaabdualh/meter2poem-1
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from transformers import BertTokenizer, EncoderDecoderModel
+import gradio as gr
+
+tokenizerM = BertTokenizer.from_pretrained("mareloraby/BERTShared-meter2poem-arV01")
+bertSharedM = EncoderDecoderModel.from_pretrained("mareloraby/BERTShared-meter2poem-arV01")
+
+def generate_response(text, k = 70, p = 0.7, nb = 4):
+# meters = set(['الرمل','البسيط','الخفيف','الكامل','السريع','الطويل','المتقارب','الرجز','المجتث','المنسرح','الوافر','المقتضب','الهزج','المديد','المضارع'])
+  prompt = f"{text}"
+  encoded_prompt = tokenizerM.encode_plus(prompt, return_tensors = 'pt')#.to(device)
+  gneration = bertSharedM.generate(
+                            input_ids = encoded_prompt.input_ids, 
+                            attention_mask = encoded_prompt.attention_mask, 
+                            do_sample = True,
+                            top_k= k, 
+                            top_p = p,
+                            num_beams= nb,
+                            max_length =130, 
+                            repetition_penalty = 2.0,  
+                            no_repeat_ngram_size = 2,
+                            early_stopping=True)
+                    
+  generated_text = tokenizerM.decode(gneration[0], skip_special_tokens=True) 
+  bayts = generated_text.split("[SOB]")
+  while("BSEP" not in bayts[-1]):
+    bayts = bayts[:-1]
+  # if(len(bayts[-1]) < 2):
+  #   bayts = bayts[:-1]
+  bayts = bayts[:-1]
+  temp_poem = ''
+  for b in range(len(bayts)):
+      temp_line = bayts[b].split('[BSEP]')
+      temp_poem = temp_poem + temp_line[1] + ' - ' + temp_line[0] +'\n'
+
+  return temp_poem
+  
+  
+  
+gr.Interface(fn=generate_response,
+           title = 'BERTShared - meter based generation',
+          #  description ='''
+          #  topics : ['حزينه','هجاء','عتاب','غزل','مدح','رومنسيه','دينية','وطنيه']
+          #  ''',
+            inputs=[
+        gr.inputs.Radio(['الرمل','البسيط','الخفيف','الكامل','السريع','الطويل','المتقارب','الرجز','المجتث','المنسرح','الوافر','المقتضب','الهزج','المديد','المضارع'],label='Choose Meter'),
+        gr.inputs.Slider(10, 200, step=10,default = 70, label='Top-K'),
+        gr.inputs.Slider(0.10, 0.99, step=0.02, default = 0.70, label='Top-P'),
+       # gr.inputs.Slider(1, 20, step=1, default = 4, label='Beams'),
+        ],
+           outputs="text").launch()
+           

requirements

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+transformers

requirements.txt

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+transformers
+torch