first codeinterpret

app.py

@@ -86,6 +86,25 @@ import re
 
 from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
 import torch
+from codeinterpreterapi import CodeInterpreterSession
+
+
+async def TestCodeInterpret(CustomMessage:str):
+    # create a session
+    session = CodeInterpreterSession(llm=GPTfake)
+    session.start()
+
+    # generate a response based on user input
+    response = await session.generate_response(CustomMessage)
+
+    # output the response (text + image)
+    print("AI: ", response.content)
+    for file in response.files:
+        file.show_image()
+
+    # terminate the session
+    session.stop()
+
 
 ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
 sample = ds[0]["audio"]
@@ -1329,7 +1348,7 @@ def clearall():
     global Filename_Chatbot
     Filename_Chatbot = []
     with open("output.log", "w") as file:
-        file.write("")
+        file.truncate(0)
     return [[], gr.update(visible=True), gr.update(visible=False), []]
 
 def retry(history3):
@@ -1718,6 +1737,8 @@ if __name__ == '__main__':
     # QAQuery_p("what is PDP ?")
     # question = "what is PDP?"
     # output = asyncio.run(start_playwright(question))
+    
+    asyncio.run(TestCodeInterpret('Plot the bitcoin chart of 2023 YTD'))
 
     if SysLock == "1":
         demo.queue(concurrency_count=3).launch(auth=(username, password), server_name="0.0.0.0", server_port=7860)