Delete App_Function_Libraries/Tone-Changer.py

App_Function_Libraries/Tone-Changer.py

@@ -1,46 +0,0 @@
-import gradio as gr
-import json
-from transformers import pipeline
-
-# Initialize the text generation pipeline
-generator = pipeline('text-generation', model='gpt2')
-
-
-def adjust_tone(text, concise, casual):
-    tones = [
-        {"tone": "concise", "weight": concise},
-        {"tone": "casual", "weight": casual},
-        {"tone": "professional", "weight": 1 - casual},
-        {"tone": "expanded", "weight": 1 - concise}
-    ]
-    tones = sorted(tones, key=lambda x: x['weight'], reverse=True)[:2]
-
-    tone_prompt = " and ".join([f"{t['tone']} (weight: {t['weight']:.2f})" for t in tones])
-
-    prompt = f"Rewrite the following text to match these tones: {tone_prompt}. Text: {text}"
-
-    result = generator(prompt, max_length=100, num_return_sequences=1)
-    return result[0]['generated_text']
-
-
-# Gradio Interface
-with gr.Blocks() as demo:
-    gr.Markdown("# Tone Adjuster")
-
-    input_text = gr.Textbox(label="Input Text")
-
-    with gr.Row():
-        concise_slider = gr.Slider(minimum=0, maximum=1, value=0.5, label="Concise vs Expanded")
-        casual_slider = gr.Slider(minimum=0, maximum=1, value=0.5, label="Casual vs Professional")
-
-    output_text = gr.Textbox(label="Adjusted Text")
-
-    adjust_btn = gr.Button("Adjust Tone")
-
-    adjust_btn.click(
-        adjust_tone,
-        inputs=[input_text, concise_slider, casual_slider],
-        outputs=output_text
-    )
-
-demo.launch()