Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -8,24 +8,21 @@ description = """ try this space to build downstream applications with [CohereFo
|
|
| 8 |
|
| 9 |
checkpoint = "CohereForAI/aya-101"
|
| 10 |
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
|
| 11 |
-
model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)
|
| 12 |
-
|
| 13 |
-
device = "cuda" if torch.cuda.is_available() else "cpu"
|
| 14 |
-
model.to(device)
|
| 15 |
-
|
| 16 |
-
if device == "cuda":
|
| 17 |
-
model = model.half()
|
| 18 |
|
| 19 |
@spaces.GPU
|
| 20 |
-
def
|
| 21 |
"""
|
| 22 |
Translates the input text to English using the Aya model.
|
| 23 |
Assumes the model can automatically detect the input language.
|
| 24 |
"""
|
|
|
|
|
|
|
| 25 |
inputs = tokenizer.encode(text, return_tensors="pt").to(device)
|
| 26 |
|
| 27 |
outputs = model.generate(inputs, max_new_tokens=128)
|
| 28 |
|
|
|
|
| 29 |
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 30 |
return translation
|
| 31 |
|
|
@@ -33,12 +30,13 @@ def main():
|
|
| 33 |
with gr.Blocks() as demo:
|
| 34 |
gr.Markdown(title)
|
| 35 |
gr.Markdown(description)
|
|
|
|
| 36 |
with gr.Row():
|
| 37 |
-
input_text = gr.Textbox(label="Input Text")
|
| 38 |
-
|
| 39 |
-
|
| 40 |
|
| 41 |
demo.launch()
|
| 42 |
|
| 43 |
if __name__ == "__main__":
|
| 44 |
-
main()
|
|
|
|
| 8 |
|
| 9 |
checkpoint = "CohereForAI/aya-101"
|
| 10 |
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
|
| 11 |
+
model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
|
| 13 |
@spaces.GPU
|
| 14 |
+
def aya(text):
|
| 15 |
"""
|
| 16 |
Translates the input text to English using the Aya model.
|
| 17 |
Assumes the model can automatically detect the input language.
|
| 18 |
"""
|
| 19 |
+
model.to(device)
|
| 20 |
+
|
| 21 |
inputs = tokenizer.encode(text, return_tensors="pt").to(device)
|
| 22 |
|
| 23 |
outputs = model.generate(inputs, max_new_tokens=128)
|
| 24 |
|
| 25 |
+
|
| 26 |
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 27 |
return translation
|
| 28 |
|
|
|
|
| 30 |
with gr.Blocks() as demo:
|
| 31 |
gr.Markdown(title)
|
| 32 |
gr.Markdown(description)
|
| 33 |
+
output_text = gr.Textbox(label="🌐Aya", interactive=False)
|
| 34 |
with gr.Row():
|
| 35 |
+
input_text = gr.Textbox(label="🗣️Input Text")
|
| 36 |
+
submit_button = gr.Button("Translate") # Add a button to submit the input
|
| 37 |
+
submit_button.click(fn=aya, inputs=input_text, outputs=output_text)
|
| 38 |
|
| 39 |
demo.launch()
|
| 40 |
|
| 41 |
if __name__ == "__main__":
|
| 42 |
+
main()
|