Upload app.py

app.py

@@ -0,0 +1,36 @@
+import streamlit as st
+import openai
+import time
+
+openai.api_type = "azure"
+openai.api_version = "2023-12-01-preview"
+API_VERZEICHNIS = [
+    {"url":"https://tensora-oai-france.openai.azure.com/", "model" : "gpt-4-1106", "key" : ""},
+    {"url": "https://tensora-oai.openai.azure.com/", "model" : "gpt-4-0613", "key" : ""},
+    {"url":"https://tensora-oai-france.openai.azure.com/", "model" : "gpt-4-1106", "key" : ""},
+    {"url":"https://tensora-oai-france.openai.azure.com/", "model" : "gpt-4-1106", "key" : ""}
+]
+
+if st.button("Test"):
+    prompt = "Tell me a 3 paragraph story"
+    for api in API_VERZEICHNIS:
+        st.code(f"{api['url']} + Model: {api['model']}")
+        openai.api_key=api["key"]
+        openai.api_base=api["url"]
+        try:
+                start_time = time.time()
+                response = openai.ChatCompletion.create(
+                    engine=api["model"],
+                    temperature = 0.2,
+                    messages=[
+                        {"role": "system", "content": prompt}
+                    ],
+                )
+                end_time = time.time()
+        except Exception as e2:
+            st.error(e2)
+        time_in_s = end_time-start_time
+        #st.write(response.choices[0].message["content"])
+        tokens_pro_sek = round(response["usage"]["completion_tokens"]/time_in_s,2)
+        st.write(f"Used Completion Tokens:  {response['usage']['completion_tokens']},   Used Time:  {round(time_in_s,2)}")
+        st.write(f"Tokens per second: {tokens_pro_sek}")