Create app.py

app.py

@@ -0,0 +1,179 @@
+# -*- coding: utf-8 -*-
+"""
+@author:XuMing([email protected])
+@description: 
+"""
+import gradio as gr
+import os
+import json
+import requests
+from loguru import logger
+from dotenv import load_dotenv
+
+logger.add('gradio_server.log', rotation='10 MB', encoding='utf-8', level='DEBUG')
+
+
+def get_api_key():
+    api_key = ''
+    if os.path.isfile('.env'):
+        load_dotenv()
+        if os.environ.get('API_KEY') is not None:
+            api_key = os.environ.get('API_KEY')
+    return api_key
+
+
+def set_new_api_key(api_key):
+    # Write the api key to the .env file
+    with open('.env', 'w') as f:
+        f.write(f'API_KEY={api_key}')
+
+
+# Streaming endpoint for OPENAI ChatGPT
+API_URL = "https://api.openai.com/v1/chat/completions"
+
+
+# Predict function for CHATGPT
+def predict_chatgpt(inputs, top_p_chatgpt, temperature_chatgpt, openai_api_key, chat_counter_chatgpt,
+                    chatbot_chatgpt=[], history=[]):
+    # Define payload and header for chatgpt API
+    payload = {
+        "model": "gpt-3.5-turbo",
+        "messages": [{"role": "user", "content": f"{inputs}"}],
+        "temperature": 1.0,
+        "top_p": 1.0,
+        "n": 1,
+        "stream": True,
+        "presence_penalty": 0,
+        "frequency_penalty": 0,
+    }
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {openai_api_key}"
+    }
+
+    # Handling the different roles for ChatGPT
+    if chat_counter_chatgpt != 0:
+        messages = []
+        for data in chatbot_chatgpt:
+            temp1 = {}
+            temp1["role"] = "user"
+            temp1["content"] = data[0]
+            temp2 = {}
+            temp2["role"] = "assistant"
+            temp2["content"] = data[1]
+            messages.append(temp1)
+            messages.append(temp2)
+        temp3 = {}
+        temp3["role"] = "user"
+        temp3["content"] = inputs
+        messages.append(temp3)
+        payload = {
+            "model": "gpt-3.5-turbo",
+            "messages": messages,  # [{"role": "user", "content": f"{inputs}"}],
+            "temperature": temperature_chatgpt,  # 1.0,
+            "top_p": top_p_chatgpt,  # 1.0,
+            "n": 1,
+            "stream": True,
+            "presence_penalty": 0,
+            "frequency_penalty": 0,
+        }
+
+    chat_counter_chatgpt += 1
+
+    history.append(inputs)
+    # make a POST request to the API endpoint using the requests.post method, passing in stream=True
+    response = requests.post(API_URL, headers=headers, json=payload, stream=True)
+    token_counter = 0
+    partial_words = ""
+
+    counter = 0
+    for chunk in response.iter_lines():
+        # Skipping the first chunk
+        if counter == 0:
+            counter += 1
+            continue
+        # check whether each line is non-empty
+        if chunk.decode():
+            chunk = chunk.decode()
+            # decode each line as response data is in bytes
+            if len(chunk) > 13 and "content" in json.loads(chunk[6:])['choices'][0]["delta"]:
+                partial_words = partial_words + json.loads(chunk[6:])['choices'][0]["delta"]["content"]
+                if token_counter == 0:
+                    history.append(" " + partial_words)
+                else:
+                    history[-1] = partial_words
+                chat = [(history[i], history[i + 1]) for i in
+                        range(0, len(history) - 1, 2)]  # convert to tuples of list
+                token_counter += 1
+                yield chat, history, chat_counter_chatgpt  # this resembles {chatbot: chat, state: history}
+    logger.info(f"input: {inputs}, output: {partial_words}")
+
+
+def reset_textbox():
+    return gr.update(value="")
+
+
+def reset_chat(chatbot, state):
+    return None, []
+
+
+title = """<h1 align="center">🔥🔥 ChatGPT Gradio Demo  </h1><br><h3 align="center">🚀For ChatBot</h3>"""
+description = """<center>author: shibing624</center>"""
+
+with gr.Blocks(css="""#col_container {width: 1200px; margin-left: auto; margin-right: auto;}
+                #chatgpt {height: 520px; overflow: auto;} """) as demo:
+    # chattogether {height: 520px; overflow: auto;} """ ) as demo:
+    # clear {width: 100px; height:50px; font-size:12px}""") as demo:
+    gr.HTML(title)
+    with gr.Row():
+        with gr.Column(scale=14):
+            with gr.Box():
+                with gr.Row():
+                    with gr.Column(scale=13):
+                        api_key = get_api_key()
+                        if not api_key:
+                            openai_api_key = gr.Textbox(type='password',
+                                                        label="Enter your OpenAI API key here for ChatGPT")
+                        else:
+                            openai_api_key = gr.Textbox(type='password',
+                                                        label="Enter your OpenAI API key here for ChatGPT",
+                                                        value=api_key, visible=False)
+                        inputs = gr.Textbox(lines=4, placeholder="Hi there!",
+                                            label="Type input question and press Shift+Enter ⤵️ ")
+                    with gr.Column(scale=1):
+                        b1 = gr.Button('🏃Run', elem_id='run').style(full_width=True)
+                        b2 = gr.Button('🔄Clear up Chatbots!', elem_id='clear').style(full_width=True)
+                    state_chatgpt = gr.State([])
+
+            with gr.Box():
+                with gr.Row():
+                    chatbot_chatgpt = gr.Chatbot(elem_id="chatgpt", label='ChatGPT API - OPENAI')
+
+        with gr.Column(scale=2, elem_id='parameters'):
+            with gr.Box():
+                gr.HTML("Parameters for OpenAI's ChatGPT")
+                top_p_chatgpt = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=True,
+                                          label="Top-p", )
+                temperature_chatgpt = gr.Slider(minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True,
+                                                label="Temperature", )
+                chat_counter_chatgpt = gr.Number(value=0, visible=False, precision=0)
+
+    inputs.submit(reset_textbox, [], [inputs])
+
+    inputs.submit(predict_chatgpt,
+                  [inputs, top_p_chatgpt, temperature_chatgpt, openai_api_key, chat_counter_chatgpt, chatbot_chatgpt,
+                   state_chatgpt],
+                  [chatbot_chatgpt, state_chatgpt, chat_counter_chatgpt], )
+    b1.click(predict_chatgpt,
+             [inputs, top_p_chatgpt, temperature_chatgpt, openai_api_key, chat_counter_chatgpt, chatbot_chatgpt,
+              state_chatgpt],
+             [chatbot_chatgpt, state_chatgpt, chat_counter_chatgpt], )
+
+    b2.click(reset_chat, [chatbot_chatgpt, state_chatgpt], [chatbot_chatgpt, state_chatgpt])
+    gr.HTML(
+        """<center>Link to:<a href="https://github.com/shibing624/ChatGPT-API-server">https://github.com/shibing624/ChatGPT-API-server</a></center>""")
+    gr.Markdown(description)
+
+if __name__ == '__main__':
+    demo.queue(concurrency_count=3).launch(height=2500, server_name='0.0.0.0', server_port=8080, debug=False)