Update app.py

app.py

@@ -1,35 +1,26 @@
 import torch
 import gradio as gr
-import json
 from transformers import GPT2Tokenizer, GPT2LMHeadModel, pipeline
 
 tokenizer = GPT2Tokenizer.from_pretrained('distilgpt2')
 tokenizer.add_special_tokens({'pad_token': '[PAD]'})
 model = GPT2LMHeadModel.from_pretrained('FredZhang7/anime-anything-promptgen-v2')
 
-# prompt = r'1girl, genshin'
-
-# generate text using fine-tuned model
 nlp = pipeline('text-generation', model=model, tokenizer=tokenizer)
 
 def generate(prompt):
-    # generate 10 samples using contrastive search
+    output = ''
     outs = nlp(prompt, max_length=76, num_return_sequences=3, do_sample=True, repetition_penalty=1.2, temperature=0.7, top_k=3, early_stopping=True)
-    jsonStr = json.dumps(outs)
-    print(prompt)
-    print(jsonStr)
-    return jsonStr
-
+    for i in range(len(outs)):
+        generated_text = str(outs[i]['generated_text']).replace('  ', '').rstrip(',')
+        output += generated_text
+        if i < len(outs)-1:
+            output += '\n\n'
+    return output
 
-# for i in range(len(outs)):
-    # remove trailing commas and double spaces
-    # outs[i] = str(outs[i]['generated_text']).replace('  ', '').rstrip(',')
-# print('\033[92m' + '\n\n'.join(outs) + '\033[0m\n')
-    # print(str(outs[i]['generated_text']))
-    
-input_component = gr.Textbox(label = "Input a prompt", value = "1girl, genshin")
-output_component = gr.Textbox(label = "detail Prompt")
+input_component = gr.Textbox(label="Prompt Idea", value="")
+output_component = gr.Textbox(label="Extended Prompts")
 examples = []
 description = ""
-gr.Interface(generate, inputs = input_component, outputs=output_component, examples=examples, title = "anything prompt", description=description).launch()
 
+gr.Interface(generate, inputs=input_component, outputs=output_component, examples=examples, title="Anime Prompt Gen", description=description).launch()