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Update app.py
#4
by
Jesuscarr
- opened
app.py
CHANGED
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@@ -1,5 +1,5 @@
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import gradio as gr
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from transformers import MarianMTModel, MarianTokenizer
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def translate(text, target_language):
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language_codes = {
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@@ -27,6 +27,19 @@ def translate(text, target_language):
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translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return translation
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language_options = [
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"Spanish", "French (European)", "French (Canadian)", "Italian", "Ukrainian",
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"Portuguese (Brazilian)", "Portuguese (European)", "Russian", "Chinese",
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@@ -34,12 +47,26 @@ language_options = [
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]
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iface = gr.Interface(
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inputs=[
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],
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outputs=gr.outputs.Textbox(label="Translated Text"),
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)
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iface.launch()
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@@ -47,3 +74,4 @@ iface.launch()
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import gradio as gr
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from transformers import MarianMTModel, MarianTokenizer, pipeline
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def translate(text, target_language):
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language_codes = {
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translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return translation
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def classify_text(text, labels):
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classifier = pipeline("zero-shot-classification")
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result = classifier(text, labels.split(','))
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scores = result["scores"]
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predictions = result["labels"]
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sorted_predictions = [pred for _, pred in sorted(zip(scores, predictions), reverse=True)]
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return sorted_predictions
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def generate_text(prompt, max_length):
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text_gen = pipeline("text-generation", model="gpt2")
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generated_text = text_gen(prompt, max_length=max_length, do_sample=True)[0]["generated_text"]
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return generated_text
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language_options = [
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"Spanish", "French (European)", "French (Canadian)", "Italian", "Ukrainian",
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"Portuguese (Brazilian)", "Portuguese (European)", "Russian", "Chinese",
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]
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iface = gr.Interface(
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[translate, classify_text, generate_text],
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inputs=[
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[
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gr.inputs.Textbox(lines=5, label="Enter text to translate:"),
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gr.inputs.Dropdown(choices=language_options, label="Target Language"),
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],
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[
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gr.inputs.Textbox(lines=5, label="Enter text to classify:"),
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gr.inputs.Textbox(lines=2, label="Enter comma-separated labels:"),
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],
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[
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gr.inputs.Textbox(lines=5, label="Enter a prompt for text generation:"),
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gr.inputs.Slider(minimum=10, maximum=150, step=1, default=50, label="Max Length"),
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],
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],
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outputs=[
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gr.outputs.Textbox(label="Translated Text"),
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gr.outputs.Textbox(label="Classification"),
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gr.outputs.Textbox(label="Generated Text"),
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],
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)
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iface.launch()
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