Update app.py
Browse files
app.py
CHANGED
@@ -1,3 +1,36 @@
|
|
1 |
-
import gradio as gr
|
2 |
import sambanova_gradio
|
3 |
-
gr.load("Qwen2.5-Coder-32B-Instruct", src=sambanova_gradio.registry).launch()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# import gradio as gr
|
2 |
import sambanova_gradio
|
3 |
+
# gr.load("Qwen2.5-Coder-32B-Instruct", src=sambanova_gradio.registry).launch()
|
4 |
+
import os
|
5 |
+
import gradio as gr
|
6 |
+
import openai
|
7 |
+
|
8 |
+
# Set up the OpenAI client with the Sambanova API
|
9 |
+
client = openai.OpenAI(
|
10 |
+
api_key=os.environ.get("SAMBANOVA_API_KEY"),
|
11 |
+
base_url="https://api.sambanova.ai/v1",
|
12 |
+
)
|
13 |
+
|
14 |
+
def generate_text(prompt):
|
15 |
+
response = client.chat.completions.create(
|
16 |
+
model='Qwen2.5-Coder-32B-Instruct',
|
17 |
+
messages=[
|
18 |
+
{"role": "system", "content": "You are a helpful assistant"},
|
19 |
+
{"role": "user", "content": prompt}
|
20 |
+
],
|
21 |
+
temperature=0,
|
22 |
+
max_tokens=8192
|
23 |
+
)
|
24 |
+
return response.choices[0].message.content
|
25 |
+
|
26 |
+
# Create the Gradio interface
|
27 |
+
iface = gr.Interface(
|
28 |
+
fn=generate_text,
|
29 |
+
inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here..."),
|
30 |
+
outputs="text",
|
31 |
+
title="Qwen2.5-Coder-32B-Instruct Chatbot",
|
32 |
+
description="Enter a prompt and get a response from the Qwen2.5-Coder-32B-Instruct model."
|
33 |
+
)
|
34 |
+
|
35 |
+
# Launch the interface
|
36 |
+
iface.launch()
|