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Runtime error
Runtime error
update status code logic
Browse files
app.py
CHANGED
@@ -86,7 +86,7 @@ def predict(inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):
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history[-1] = partial_words
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chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2) ] # convert to tuples of list
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token_counter+=1
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yield chat, history, chat_counter # resembles {chatbot: chat, state: history}
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def reset_textbox():
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@@ -113,11 +113,16 @@ with gr.Blocks(css = """#col_container { margin-left: auto; margin-right: auto;}
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gr.HTML("""<h3 align="center">🔥This Huggingface Gradio Demo provides you full access to GPT4 API (4096 token limit). 🎉🥳🎉You don't need any OPENAI API key🙌</h1>""")
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gr.HTML('''<center><a href="https://huggingface.co/spaces/ysharma/ChatGPT4?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your OpenAI API Key</center>''')
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with gr.Column(elem_id = "col_container"):
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#openai_api_key = gr.Textbox(type='password', label="Enter only your GPT4 OpenAI API key here")
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chatbot = gr.Chatbot(elem_id='chatbot') #c
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inputs = gr.Textbox(placeholder= "Hi there!", label= "Type an input and press Enter") #t
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state = gr.State([]) #s
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#inputs, top_p, temperature, top_k, repetition_penalty
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with gr.Accordion("Parameters", open=False):
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@@ -127,8 +132,8 @@ with gr.Blocks(css = """#col_container { margin-left: auto; margin-right: auto;}
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#repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.03, step=0.01, interactive=True, label="Repetition Penalty", )
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chat_counter = gr.Number(value=0, visible=False, precision=0)
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inputs.submit( predict, [inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter],) #openai_api_key
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b1.click( predict, [inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter],) #openai_api_key
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b1.click(reset_textbox, [], [inputs])
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inputs.submit(reset_textbox, [], [inputs])
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history[-1] = partial_words
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chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2) ] # convert to tuples of list
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token_counter+=1
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yield chat, history, chat_counter, response # resembles {chatbot: chat, state: history}
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def reset_textbox():
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gr.HTML("""<h3 align="center">🔥This Huggingface Gradio Demo provides you full access to GPT4 API (4096 token limit). 🎉🥳🎉You don't need any OPENAI API key🙌</h1>""")
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gr.HTML('''<center><a href="https://huggingface.co/spaces/ysharma/ChatGPT4?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your OpenAI API Key</center>''')
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with gr.Column(elem_id = "col_container"):
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#GPT4 API Key is provided by Huggingface
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#openai_api_key = gr.Textbox(type='password', label="Enter only your GPT4 OpenAI API key here")
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chatbot = gr.Chatbot(elem_id='chatbot') #c
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inputs = gr.Textbox(placeholder= "Hi there!", label= "Type an input and press Enter") #t
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state = gr.State([]) #s
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with gr.Row():
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with gr.Column(scale=7):
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b1 = gr.Button()
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with gr.Column(scale=3):
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server_status_code = gr.Textbox(label="Status code from OpenAI server", )
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#inputs, top_p, temperature, top_k, repetition_penalty
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with gr.Accordion("Parameters", open=False):
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#repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.03, step=0.01, interactive=True, label="Repetition Penalty", )
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chat_counter = gr.Number(value=0, visible=False, precision=0)
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inputs.submit( predict, [inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code],) #openai_api_key
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b1.click( predict, [inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter, server_status_code],) #openai_api_key
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b1.click(reset_textbox, [], [inputs])
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inputs.submit(reset_textbox, [], [inputs])
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