Delete app.py

app.py

@@ -1,45 +0,0 @@
-import gradio as gr
-from transformers import pipeline, GenerationConfig 
-
-#Load pipeline
-generator = pipeline("text-generation", model="gpt2")
-config = GenerationConfig.from_pretrained("gpt2")
-
-def greet(prompt, temperature, max_lenth, top_p, samples):
-    #Enable greedy decoding if temperature is 0
-    config.do_sample = True if temperature != 0 else False
-
-    #Takes temperature and top_p value
-    config.temperature = temperature
-    config.top_p = top_p
-
-    #Samples
-    sample_input = {'Sample 1': 'Hi, this is a demo prompt for you',
-                    'Sample 2': 'Alber Einstein is a famous physicist graduated from',
-                    'Sample 3': 'University of Zurich locate at'}
-    
-    #Choose between samples
-    if samples and prompt == '':
-        prompt = sample_input[samples]
-
-    a = generator(prompt, max_new_tokens=max_lenth, generation_config=config)
-    return a[0]['generated_text']
-
-demo = gr.Interface(
-    fn=greet,
-    inputs=[gr.Textbox(placeholder = "Write a tagline for an ice cream shop.", label="prompt", lines=5),
-            gr.Slider(value=1, minimum=0, maximum=2, label='temperature',
-                      info='''Temperature controls the randomness of the text generation.
-                      1.0 makes the model more likely to generate diverse and sometimes more unexpected outputs.
-                      0.0 makes the model's responses more deterministic and predictable.'''),
-            gr.Slider(value=16, minimum=1, maximum=256, step=1, label='max_lenth',
-                      info='''Maximum number of tokens that the model will generate in the output.'''),
-            gr.Slider(value=1, minimum=0, maximum=1, label='top_p',
-                      info='''Top-p controls the model's focus during text generation. 
-                      It allows only the most probable tokens to be considered for generation, where the cumulative probability of these tokens must exceed this value.'''),
-            gr.Dropdown(['Sample 1', 'Sample 2', 'Sample 3'], label="Sample Prompts",
-                        info='''Some sample Prompts for you!''')],
-    outputs=[gr.Textbox(label='Output texts')],
-)
-
-demo.launch()