Update for Inspirations

app.py

@@ -3,38 +3,16 @@ import gradio as gr
 
 tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompt-generator-v12")
 model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompt-generator-v12", from_tf=True)
-#
-tokenizer2 = AutoTokenizer.from_pretrained("Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum")
-model2 = AutoModelForSeq2SeqLM.from_pretrained("Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum", from_tf=True)
 
-def generate(prompt, max_new_tokens):
+def generate(prompt):
+
     batch = tokenizer(prompt, return_tensors="pt")
-    generated_ids = model.generate(batch["input_ids"], max_new_tokens=int(max_new_tokens))
+    generated_ids = model.generate(batch["input_ids"], max_new_tokens=150)
     output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
     return output[0]
-    
-def generate2(prompt, max_new_tokens):
-    batch = tokenizer2(prompt, return_tensors="pt")
-    generated_ids = model2.generate(batch["input_ids"], max_new_tokens=int(max_new_tokens))
-    output = tokenizer2.batch_decode(generated_ids, skip_special_tokens=True)
-    return output[0]
-    
-def generate2_test(prompt):
-    batch = tokenizer2(prompt, return_tensors="pt")
-    generated_ids = model2.generate(batch["input_ids"], max_new_tokens=150)
-    output = tokenizer2.batch_decode(generated_ids, skip_special_tokens=True)
-    return output[0]
-    
-def generate_prompt(aitype, prompt, max_new_tokens):
-    if aitype=='1':
-        return generate(prompt, max_new_tokens)
-    elif aitype=='2':
-        return generate2(prompt, max_new_tokens)
-#
-input_aitype = gr.Textbox(label = "Input a persona, e.g. photographer", value = "2")
-input_prompt = gr.Textbox(label = "Input a persona, e.g. photographer", value = "photographer")
-input_maxtokens = gr.Textbox(label = "max tokens", value = "150")
+
+input_component = gr.Textbox(label = "Input your Creative Thinking", value = "Creative Thinking")
 output_component = gr.Textbox(label = "Prompt")
-examples = [["photographer"], ["developer"]]
+examples = [["Creative Thinking"], ["Inspiration"]]
 description = ""
-gr.Interface(generate_prompt, inputs = [input_aitype,input_prompt,input_maxtokens], outputs=output_component, examples=examples, title = "👨🏻‍🎤 ChatGPT Prompt Generator v12 👨🏻‍🎤", description=description).launch()
+gr.Interface(generate, inputs = input_component, outputs=output_component, examples=examples, title = "👨🏻‍🎤 Power For your Inspirations 👨🏻‍🎤", description=description).launch()