Create app.py

app.py

@@ -0,0 +1,48 @@
+import os
+import openai 
+import requests 
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+import time
+import gradio as gr 
+
+
+def check_openai_speed(api_key, prompt):
+    headers = {
+        'Content-Type': 'application/json',
+        'Authorization': f'Bearer {openai.api_key}',
+    }
+    data = {
+        'prompt': "q",
+        'temperature': 0.5,
+        'max_tokens': 1,
+        'top_p': 1,
+        'frequency_penalty': 0,
+        'presence_penalty': 0
+    }
+    start_time = time.time()
+    response = requests.post('https://api.openai.com/v1/engines/davinci-codex/completions', headers=headers, json=data)
+    end_time = time.time()
+    response_time = end_time - start_time
+    print(f'Response time: {response_time:.2f} seconds')
+    print(f'Response status code: {response.status_code}')
+    print(f'Response text: {response.text}')
+    response_time = "Time to answer: " + f'{end_time - start_time:.2f}' + " seconds"
+    status_code = "Response code: " + str(response.status_code)
+    return status_code, response_time
+
+title = "Status API ChatGPT"
+css="""
+footer {visibility: hidden}
+.gradio-container {padding-top: 100px}
+"""
+
+
+with gr.Blocks(css=css, title=title) as demo:
+    gr.HTML("<h1>Status API ChatGPT</h1>")
+    dt_1 = gr.outputs.HTML()
+    dt_2 = gr.outputs.HTML()
+    dt =[dt_1, dt_2]
+    demo.load(check_openai_speed, inputs=None, outputs=dt)
+
+demo.launch(share=False, debug=True )