Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
import gradio as gr
|
2 |
-
from transformers import MarianMTModel, MarianTokenizer
|
3 |
|
4 |
def translate(text, target_language):
|
5 |
language_codes = {
|
@@ -27,6 +27,19 @@ def translate(text, target_language):
|
|
27 |
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
28 |
return translation
|
29 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
30 |
language_options = [
|
31 |
"Spanish", "French (European)", "French (Canadian)", "Italian", "Ukrainian",
|
32 |
"Portuguese (Brazilian)", "Portuguese (European)", "Russian", "Chinese",
|
@@ -34,12 +47,26 @@ language_options = [
|
|
34 |
]
|
35 |
|
36 |
iface = gr.Interface(
|
37 |
-
|
38 |
inputs=[
|
39 |
-
|
40 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
41 |
],
|
42 |
-
outputs=gr.outputs.Textbox(label="Translated Text"),
|
43 |
)
|
44 |
|
45 |
iface.launch()
|
@@ -47,3 +74,4 @@ iface.launch()
|
|
47 |
|
48 |
|
49 |
|
|
|
|
1 |
import gradio as gr
|
2 |
+
from transformers import MarianMTModel, MarianTokenizer, pipeline
|
3 |
|
4 |
def translate(text, target_language):
|
5 |
language_codes = {
|
|
|
27 |
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
28 |
return translation
|
29 |
|
30 |
+
def classify_text(text, labels):
|
31 |
+
classifier = pipeline("zero-shot-classification")
|
32 |
+
result = classifier(text, labels.split(','))
|
33 |
+
scores = result["scores"]
|
34 |
+
predictions = result["labels"]
|
35 |
+
sorted_predictions = [pred for _, pred in sorted(zip(scores, predictions), reverse=True)]
|
36 |
+
return sorted_predictions
|
37 |
+
|
38 |
+
def generate_text(prompt, max_length):
|
39 |
+
text_gen = pipeline("text-generation", model="gpt2")
|
40 |
+
generated_text = text_gen(prompt, max_length=max_length, do_sample=True)[0]["generated_text"]
|
41 |
+
return generated_text
|
42 |
+
|
43 |
language_options = [
|
44 |
"Spanish", "French (European)", "French (Canadian)", "Italian", "Ukrainian",
|
45 |
"Portuguese (Brazilian)", "Portuguese (European)", "Russian", "Chinese",
|
|
|
47 |
]
|
48 |
|
49 |
iface = gr.Interface(
|
50 |
+
[translate, classify_text, generate_text],
|
51 |
inputs=[
|
52 |
+
[
|
53 |
+
gr.inputs.Textbox(lines=5, label="Enter text to translate:"),
|
54 |
+
gr.inputs.Dropdown(choices=language_options, label="Target Language"),
|
55 |
+
],
|
56 |
+
[
|
57 |
+
gr.inputs.Textbox(lines=5, label="Enter text to classify:"),
|
58 |
+
gr.inputs.Textbox(lines=2, label="Enter comma-separated labels:"),
|
59 |
+
],
|
60 |
+
[
|
61 |
+
gr.inputs.Textbox(lines=5, label="Enter a prompt for text generation:"),
|
62 |
+
gr.inputs.Slider(minimum=10, maximum=150, step=1, default=50, label="Max Length"),
|
63 |
+
],
|
64 |
+
],
|
65 |
+
outputs=[
|
66 |
+
gr.outputs.Textbox(label="Translated Text"),
|
67 |
+
gr.outputs.Textbox(label="Classification"),
|
68 |
+
gr.outputs.Textbox(label="Generated Text"),
|
69 |
],
|
|
|
70 |
)
|
71 |
|
72 |
iface.launch()
|
|
|
74 |
|
75 |
|
76 |
|
77 |
+
|