jjz5463 commited on
Commit
e3479f5
·
1 Parent(s): 56e14a4

fix error: Invalid type for messages[0]

Browse files
Files changed (2) hide show
  1. app.py +2 -2
  2. chatbot_simulator.py +20 -7
app.py CHANGED
@@ -78,8 +78,8 @@ with gr.Blocks(fill_height=True) as demo:
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  # Input fields for initialization
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  task_input = gr.Textbox(label="Task", placeholder="Describe your task...")
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- app_name_input = gr.Textbox(label="App Name", placeholder="Enter the app name...")
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- sitemap_input = gr.Textbox(label="Sitemap", placeholder="Enter the Hugging Face link to sitemap...")
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  initialize_button = gr.Button("Initialize Simulator")
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  # Status block to display initialization progress with elapsed time
 
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  # Input fields for initialization
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  task_input = gr.Textbox(label="Task", placeholder="Describe your task...")
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+ app_name_input = gr.Textbox(label="App Name", placeholder="Enter the app name... (eg. DoorDash)")
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+ sitemap_input = gr.Textbox(label="Sitemap", placeholder="Enter the Hugging Face link to sitemap... (eg.jjz5463/DoorDash_synthetic_sitemap)")
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  initialize_button = gr.Button("Initialize Simulator")
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  # Status block to display initialization progress with elapsed time
chatbot_simulator.py CHANGED
@@ -77,13 +77,26 @@ Rules:
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  def _get_openai_response(self, prompt):
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  """Fetch response from OpenAI API."""
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  self._trim_conversation()
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- response = self.client.chat.completions.create(
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- model="gpt-4",
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- messages=prompt,
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- max_tokens=self.buffer_tokens, # Adjusted max_tokens if needed
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- temperature=0.7,
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- )
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- return response.choices[0].message.content
 
 
 
 
 
 
 
 
 
 
 
 
 
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  def _calculate_token_count(self, conversation):
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  """Accurately calculate the token count in the conversation using a tokenizer."""
 
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  def _get_openai_response(self, prompt):
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  """Fetch response from OpenAI API."""
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  self._trim_conversation()
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+ while True:
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+ try:
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+ response = self.client.chat.completions.create(
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+ model="gpt-4",
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+ messages=prompt,
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+ max_tokens=self.buffer_tokens, # Adjusted max_tokens if needed
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+ temperature=0.7,
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+ )
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+ return response.choices[0].message.content
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+ except RateLimitError as e:
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+ # Parse the suggested retry time from the error message, default to 5s if not available
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+ wait_time = 5
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+ try:
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+ # Attempt to get the time from the error message
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+ wait_time = float(e.response['error']['message'].split("in ")[1].split("s")[0])
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+ except (KeyError, IndexError, ValueError):
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+ print("Could not parse wait time from error message. Defaulting to 5 seconds.")
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+
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+ print(f"Rate limit reached. Retrying in {wait_time} seconds...")
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+ time.sleep(wait_time)
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  def _calculate_token_count(self, conversation):
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  """Accurately calculate the token count in the conversation using a tokenizer."""