Spaces:
Runtime error
Runtime error
Upload app.py
Browse files
app.py
ADDED
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from huggingface_hub import InferenceClient
|
3 |
+
|
4 |
+
client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
|
5 |
+
|
6 |
+
def format_prompt(message, job_profession):
|
7 |
+
system_prompt = f"You are a People Generator. You generate People based on user input, always in the following Format: You are (Name) (Age) old from (Country), you are an expert in the field {job_profession}. It is very IMPORTANT! that you response always in the given Format. Do NOT response with I am! Always Start with You are!"
|
8 |
+
prompt = f"<s>[SYS] {system_prompt} [/SYS][INST] {message} [/INST]</s>"
|
9 |
+
return prompt
|
10 |
+
|
11 |
+
def generate(message, job_profession, temperature=0.9, max_new_tokens=8192, top_p=0.95, repetition_penalty=1.0):
|
12 |
+
# Parse the input to determine job profession based on the presence of a message.
|
13 |
+
actual_job = message if message else job_profession
|
14 |
+
|
15 |
+
temperature = float(temperature)
|
16 |
+
if temperature < 1e-2:
|
17 |
+
temperature = 1e-2
|
18 |
+
top_p = float(top_p)
|
19 |
+
|
20 |
+
generate_kwargs = {
|
21 |
+
"temperature": temperature,
|
22 |
+
"max_new_tokens": max_new_tokens,
|
23 |
+
"top_p": top_p,
|
24 |
+
"repetition_penalty": repetition_penalty,
|
25 |
+
"do_sample": True,
|
26 |
+
"seed": 42,
|
27 |
+
}
|
28 |
+
|
29 |
+
formatted_prompt = format_prompt("", actual_job) # message should be empty here if we're using job from input
|
30 |
+
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
|
31 |
+
output = ""
|
32 |
+
|
33 |
+
for response in stream:
|
34 |
+
output += response.token.text
|
35 |
+
yield output
|
36 |
+
|
37 |
+
css = """
|
38 |
+
#mkd {
|
39 |
+
height: 500px;
|
40 |
+
overflow: auto;
|
41 |
+
border: 1px solid #ccc;
|
42 |
+
}
|
43 |
+
"""
|
44 |
+
|
45 |
+
with gr.Blocks(css=css) as demo:
|
46 |
+
with gr.Row():
|
47 |
+
with gr.Column(scale=2):
|
48 |
+
gr.HTML("<h1>Settings</h1>")
|
49 |
+
job_dropdown = gr.Dropdown(
|
50 |
+
label="Choose a job profession",
|
51 |
+
choices=["Relationship Expert", "Sales Manager", "Blue Team Hacker", "Senior Web Developer", "C++ Developer", "Article Author", "News Anchor", "Finance Advisor"],
|
52 |
+
value="Relationship Expert" # Initial value
|
53 |
+
)
|
54 |
+
with gr.Column(scale=3):
|
55 |
+
gr.HTML("<h1><center>GPT Prompt Generator<h1><center>")
|
56 |
+
message_input = gr.Textbox(label="Input your message (overrides job dropdown)", placeholder="Type a job profession here to override the dropdown...")
|
57 |
+
generate_button = gr.Button("Generate")
|
58 |
+
output_area = gr.Textbox(label="AI Response", interactive=False, lines=10)
|
59 |
+
generate_button.click(
|
60 |
+
fn=generate,
|
61 |
+
inputs=[message_input, job_dropdown],
|
62 |
+
outputs=output_area
|
63 |
+
)
|
64 |
+
|
65 |
+
demo.launch(debug=True)
|
66 |
+
|