⚽ refactor: playground more stable generation

dev_gpt/options/generate/static_files/gateway/app_template.py

@@ -0,0 +1,53 @@
+import json
+import os
+
+import streamlit as st
+from jina import Client, Document, DocumentArray
+import io
+
+st.set_page_config(
+    page_title="<page title here>",
+    page_icon="<page icon here>",
+    layout="centered",
+    initial_sidebar_state="auto",
+)
+
+st.title("<thematic emoji here> <header title here>")
+st.markdown(
+    "<10 word description here>"
+    "To generate and deploy your own microservice, click [here](https://github.com/jina-ai/dev-gpt)."
+)
+st.subheader("<a unique thematic emoji here> <sub header title here>")  # only if input parameters are needed
+with st.form(key="input_form"):
+    # <input parameter definition here>
+    input_json_dict = {} #
+
+    input_json_dict_string = json.dumps(input_json_dict)
+    submitted = st.form_submit_button("<submit button text>")
+
+# Process input and call microservice
+if submitted:
+    with st.spinner("<spinner text here>..."):
+        client = Client(host="http://localhost:8080")
+        d = Document(text=input_json_dict_string)
+        response = client.post("/", inputs=DocumentArray([d]))
+
+        output_data = json.loads(response[0].text)
+        # <visualization of results here>
+
+# Display curl command
+deployment_id = os.environ.get("K8S_NAMESPACE_NAME", "")
+api_endpoint = (
+    f"https://dev-gpt-{deployment_id.split('-')[1]}.wolf.jina.ai/post"
+    if deployment_id
+    else "http://localhost:8080/post"
+)
+
+with st.expander("See curl command"):
+    st.markdown("You can use the following curl command to send a request to the microservice from the command line:")
+    escaped_input_json_dict_string = input_json_dict_string.replace('"', '\\"')
+
+    st.code(
+        f'curl -X "POST" "{api_endpoint}" -H "accept: application/json" -H "Content-Type: application/json" -d \'{{"data": [{{"text": "{escaped_input_json_dict_string}"}}]}}\'',
+        language="bash",
+    )