Duplicate from Aaaaaaaabdualh/topic2poem

Co-authored-by: Taieeeeee <[email protected]>

.gitattributes

@@ -0,0 +1,31 @@
+*.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
+*.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
+*.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
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pb 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
+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 +1,14 @@
+---
+title: Topic2poem
+emoji: 💻
+colorFrom: pink
+colorTo: purple
+sdk: gradio
+sdk_version: 3.2
+app_file: app.py
+pinned: false
+license: afl-3.0
+duplicated_from: Aaaaaaaabdualh/topic2poem
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,48 @@
+from transformers import BertTokenizer, EncoderDecoderModel
+import gradio as gr
+
+tokenizerM = BertTokenizer.from_pretrained("mareloraby/BERTShared-PoetryGen-arV01")
+bertSharedM = EncoderDecoderModel.from_pretrained("mareloraby/BERTShared-PoetryGen-arV01")
+# bertSharedM.cuda()
+
+
+def generate_response(text, k = 70, p = 0.9, nb = 4):
+  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("[BSEP]")
+  while("FSEP" not in bayts[-1]):
+    bayts = bayts[:-1]
+  bayts = bayts[:-1]
+  temp_poem = ''
+  for b in range(len(bayts)):
+      temp_line = bayts[b].split('[FSEP]')
+      temp_poem = temp_poem + temp_line[1] + ' - ' + temp_line[0] +'\n'
+
+  return temp_poem
+
+iface = gr.Interface(fn=generate_response,
+             title = 'BERTShared - topic based generation',
+          
+              inputs=[
+          gr.inputs.Radio(['حزينه','هجاء','عتاب','غزل','مدح','رومنسيه','دينية'],label='Choose Topic'),
+          gr.inputs.Slider(10, 200, step=10,default = 70, label='Top-K'),
+          gr.inputs.Slider(0.10, 0.99, step=0.02, default = 0.90, label='Top-P'),
+          #gr.inputs.Slider(1, 20, step=1, default = 4, label='Beams'),
+
+          ],
+             outputs="text")
+             
+iface.launch()

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch