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Duplicate from ysharma/ChatGPT4

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Co-authored-by: yuvraj sharma <[email protected]>

Files changed (3) hide show
  1. .gitattributes +34 -0
  2. README.md +14 -0
  3. app.py +141 -0
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README.md ADDED
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+ ---
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+ title: Chat-with-GPT4
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+ emoji: 🚀
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+ colorFrom: red
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+ colorTo: indigo
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+ sdk: gradio
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+ sdk_version: 3.21.0
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+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ duplicated_from: ysharma/ChatGPT4
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ import gradio as gr
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+ import os
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+ import json
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+ import requests
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+
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+ #Streaming endpoint
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+ API_URL = "https://api.openai.com/v1/chat/completions" #os.getenv("API_URL") + "/generate_stream"
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+
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+ #Testing with my Open AI Key
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+ OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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+
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+ def predict(inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):
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+
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+ payload = {
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+ "model": "gpt-4",
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+ "messages": [{"role": "user", "content": f"{inputs}"}],
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+ "temperature" : 1.0,
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+ "top_p":1.0,
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+ "n" : 1,
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+ "stream": True,
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+ "presence_penalty":0,
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+ "frequency_penalty":0,
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+ }
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+
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+ headers = {
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+ "Content-Type": "application/json",
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+ "Authorization": f"Bearer {OPENAI_API_KEY}"
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+ }
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+
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+ print(f"chat_counter - {chat_counter}")
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+ if chat_counter != 0 :
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+ messages=[]
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+ for data in chatbot:
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+ temp1 = {}
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+ temp1["role"] = "user"
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+ temp1["content"] = data[0]
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+ temp2 = {}
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+ temp2["role"] = "assistant"
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+ temp2["content"] = data[1]
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+ messages.append(temp1)
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+ messages.append(temp2)
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+ temp3 = {}
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+ temp3["role"] = "user"
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+ temp3["content"] = inputs
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+ messages.append(temp3)
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+ #messages
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+ payload = {
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+ "model": "gpt-4",
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+ "messages": messages, #[{"role": "user", "content": f"{inputs}"}],
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+ "temperature" : temperature, #1.0,
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+ "top_p": top_p, #1.0,
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+ "n" : 1,
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+ "stream": True,
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+ "presence_penalty":0,
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+ "frequency_penalty":0,
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+ }
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+
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+ chat_counter+=1
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+
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+ history.append(inputs)
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+ print(f"payload is - {payload}")
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+ # make a POST request to the API endpoint using the requests.post method, passing in stream=True
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+ response = requests.post(API_URL, headers=headers, json=payload, stream=True)
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+ print(f"response code - {response}")
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+ token_counter = 0
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+ partial_words = ""
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+
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+ counter=0
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+ for chunk in response.iter_lines():
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+ #Skipping first chunk
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+ if counter == 0:
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+ counter+=1
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+ continue
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+ #counter+=1
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+ # check whether each line is non-empty
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+ if chunk.decode() :
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+ chunk = chunk.decode()
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+ # decode each line as response data is in bytes
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+ if len(chunk) > 12 and "content" in json.loads(chunk[6:])['choices'][0]['delta']:
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+ #if len(json.loads(chunk.decode()[6:])['choices'][0]["delta"]) == 0:
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+ # break
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+ partial_words = partial_words + json.loads(chunk[6:])['choices'][0]["delta"]["content"]
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+ if token_counter == 0:
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+ history.append(" " + partial_words)
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+ else:
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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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+
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+
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+ def reset_textbox():
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+ return gr.update(value='')
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+
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+ title = """<h1 align="center">🔥GPT4 with ChatCompletions API +🚀Gradio-Streaming</h1>"""
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+ description = """Language models can be conditioned to act like dialogue agents through a conversational prompt that typically takes the form:
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+ ```
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+ User: <utterance>
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+ Assistant: <utterance>
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+ User: <utterance>
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+ Assistant: <utterance>
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+ ...
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+ ```
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+ In this app, you can explore the outputs of a gpt-4 LLM.
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+ """
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+
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+ theme = gr.themes.Default(primary_hue="green")
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+
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+ with gr.Blocks(css = """#col_container { margin-left: auto; margin-right: auto;}
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+ #chatbot {height: 520px; overflow: auto;}""",
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+ theme=theme) as demo:
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+ gr.HTML(title)
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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().style(full_width=True)
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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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+
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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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+ top_p = gr.Slider( minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True, label="Top-p (nucleus sampling)",)
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+ temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",)
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+ #top_k = gr.Slider( minimum=1, maximum=50, value=4, step=1, interactive=True, label="Top-k",)
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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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+
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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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+
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+ #gr.Markdown(description)
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+ demo.queue(max_size=20, concurrency_count=10).launch(debug=True)