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Create app.py
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app.py
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# prompt: currently the image generation function starts after user give a single letter. but for user friendly reason it should start to process after user gives his entrie input. here generate button is big make it small
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from transformers import pipeline
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import gradio as gr
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from diffusers import DiffusionPipeline
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import torch
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import time
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# Load models
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-dra-en")
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summarizer = pipeline("summarization", model="Falconsai/text_summarization")
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image_pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16).to("cuda")
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# Translate Tamil to English
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def translate_tamil_to_english(text):
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time.sleep(2)
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result = translator(text)
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return result[0]['translation_text']
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# Summarize English Paragraph
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def summarize_english_text(paragraph):
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time.sleep(2)
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summary = summarizer(paragraph, max_length=100, min_length=25, do_sample=False)
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return summary[0]['summary_text']
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# Generate image from English text
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def english_text_to_image(text):
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image = image_pipe(text).images[0]
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return image
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with gr.Blocks() as app:
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gr.Markdown("# Multifunctional Gradio App")
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with gr.Row():
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tamil_input = gr.Textbox(lines=2, placeholder="Enter Tamil text here...")
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english_output = gr.Textbox(label="English Translation")
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translate_button = gr.Button("Translate")
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translate_button.click(translate_tamil_to_english, inputs=tamil_input, outputs=english_output)
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with gr.Row():
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english_paragraph_input = gr.Textbox(lines=5, placeholder="Enter English paragraph here...")
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summary_output = gr.Textbox(label="Summary")
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summarize_button = gr.Button("Summarize")
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summarize_button.click(summarize_english_text, inputs=english_paragraph_input, outputs=summary_output)
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with gr.Row():
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english_text_input = gr.Textbox(lines=2, placeholder="Enter English text for image generation...")
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image_output = gr.Image(label="Generated Image")
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generate_button = gr.Button("Generate Image", size="sm") # Make the button smaller
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generate_button.click(english_text_to_image, inputs=english_text_input, outputs=image_output)
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app.launch()
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