Update app.py

app.py

@@ -218,35 +218,5 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     example3_button.click(fn=lambda: gr.update(value=example_messages["JEE Main 2025 Probability & Statistics"]), inputs=None, outputs=user_input)
     example4_button.click(fn=lambda: gr.update(value=example_messages["JEE Main 2025 Laws of Motion"]), inputs=None, outputs=user_input)
 
-demo.launch(share=True, ssr_mode=False)
-
-Now, i want to host it on an inference endpoint which can be called as follows:
-
-from openai import OpenAI
-
-client = OpenAI(
-  base_url = "https://a7g1ajqixo23revq.us-east-1.aws.endpoints.huggingface.cloud/v1/",
-  api_key = "hf_XXXXX"
- )
-
-chat_completion = client.chat.completions.create(
- model="tgi",
- messages=[
- {
-  "role": "user",
-  "content": "What is deep learning?"
- }
-],
- top_p=None,
- temperature=None,
- max_tokens=150,
- stream=True,
- seed=None,
- stop=None,
- frequency_penalty=None,
- presence_penalty=None
-)
-
-for message in chat_completion:
- print(message.choices[0].delta.content, end = "")
+demo.launch(ssr_mode=False)