Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from transformers import pipeline
|
3 |
+
|
4 |
+
path = 'HamadML/bloomz-560m_p'
|
5 |
+
pipe = pipeline('text-generation', model=path, tokenizer=path)
|
6 |
+
|
7 |
+
def generate_poetry(prompt, top_p, top_k, temperature, max_length):
|
8 |
+
# Add instruction for the model
|
9 |
+
instruction = "Generate poetry based on the given prompt."
|
10 |
+
model_input = generate_prompt(instruction, prompt)
|
11 |
+
|
12 |
+
# Generate poetry
|
13 |
+
output = pipe(model_input,
|
14 |
+
max_length=max_length,
|
15 |
+
do_sample=True,
|
16 |
+
top_k=top_k,
|
17 |
+
top_p=top_p,
|
18 |
+
temperature=temperature
|
19 |
+
)
|
20 |
+
|
21 |
+
return output[0]['generated_text']
|
22 |
+
|
23 |
+
def generate_prompt(instruction, input=None):
|
24 |
+
if input:
|
25 |
+
return f"""Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
|
26 |
+
### Instruction:
|
27 |
+
{instruction}
|
28 |
+
### Input:
|
29 |
+
{input}
|
30 |
+
### Response:"""
|
31 |
+
else:
|
32 |
+
return f"""Below is an instruction that describes a task. Write a response that appropriately completes the request.
|
33 |
+
### Instruction:
|
34 |
+
{instruction}
|
35 |
+
### Response:"""
|
36 |
+
|
37 |
+
# Create a Gradio interface
|
38 |
+
inputs = [
|
39 |
+
gr.inputs.Textbox(label="Enter a prompt", placeholder="Enter a prompt", lines=3),
|
40 |
+
gr.inputs.Slider(label="Top-p value", minimum=0.0, maximum=1.0, default=0.9, step=0.1),
|
41 |
+
gr.inputs.Slider(label="Top-k value", minimum=1, maximum=1000, default=400, step=1),
|
42 |
+
gr.inputs.Slider(label="Temperature value", minimum=0.0, maximum=1.0, default=0.9, step=0.1),
|
43 |
+
gr.inputs.Slider(label="Max length", minimum=1, maximum=300, default=200, step=1),
|
44 |
+
]
|
45 |
+
|
46 |
+
outputs = gr.outputs.Textbox(label="Generated Poetry")
|
47 |
+
|
48 |
+
examples = [
|
49 |
+
["چرته چې هم د مينې سپکه وشي", 0.9, 400, 0.7, 200]
|
50 |
+
]
|
51 |
+
|
52 |
+
iface = gr.Interface(
|
53 |
+
fn=generate_poetry,
|
54 |
+
inputs=inputs,
|
55 |
+
outputs=outputs,
|
56 |
+
examples=examples,
|
57 |
+
title="Pashto Poetry Generator",
|
58 |
+
description="Unleash the beauty of Pashto poetry with the power of deep learning",
|
59 |
+
theme="default"
|
60 |
+
)
|
61 |
+
|
62 |
+
iface.launch()
|