ysharma HF Staff commited on
Commit
b388cf7
·
1 Parent(s): 7312f21

Update app.py

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Files changed (1) hide show
  1. app.py +9 -3
app.py CHANGED
@@ -4,12 +4,13 @@ import os
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  import io
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  import contextlib
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- # Paste your OpenAI API key below.
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- interpreter.api_key = os.environ.get('openai_api_key')
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  interpreter.auto_run = True
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  def chat_with_interpreter(message, history=[]):
 
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  if message == 'reset':
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  interpreter.reset()
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  # Redirect stdout to capture the streamed output
@@ -21,11 +22,16 @@ def chat_with_interpreter(message, history=[]):
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  # Return this output so Gradio's ChatInterface can display it
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  return output
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  demo = gr.ChatInterface(fn=chat_with_interpreter,
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  title="Open-Interpreter Gradio ChatInterface",
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  description="Open Interpreter lets LLMs run code (Python, Javascript, Shell, and more) locally",
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  examples=["what is 2+2?", "Can you solve for x: 10x -65=0?", "What are top 10 headlines from BBC from last week?"],
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  clear_btn=None,
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  retry_btn=None,
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- undo_btn=None).queue()
 
 
 
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  demo.launch(debug=True)
 
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  import io
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  import contextlib
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+ # Use environ variables for saving and using OpenAI API key as below or use from a textbox in gradio UI
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+ # interpreter.api_key = os.environ.get('openai_api_key')
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  interpreter.auto_run = True
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  def chat_with_interpreter(message, history=[]):
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+ interpreter.api_key = openai_api_key
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  if message == 'reset':
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  interpreter.reset()
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  # Redirect stdout to capture the streamed output
 
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  # Return this output so Gradio's ChatInterface can display it
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  return output
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+ openai_api_key = gr.Textbox(label='OpenAI API Key', intercative=True)
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+
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  demo = gr.ChatInterface(fn=chat_with_interpreter,
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  title="Open-Interpreter Gradio ChatInterface",
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  description="Open Interpreter lets LLMs run code (Python, Javascript, Shell, and more) locally",
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  examples=["what is 2+2?", "Can you solve for x: 10x -65=0?", "What are top 10 headlines from BBC from last week?"],
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  clear_btn=None,
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  retry_btn=None,
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+ undo_btn=None,
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+ additional_inputs=[openai_api_key],
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+ additional_inputs_accordion_name = "OpenAI API Key"
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+ ).queue()
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  demo.launch(debug=True)