refresh

app.py

@@ -0,0 +1,145 @@
+import gradio as gr
+import mdtex2html
+import pandas as pd
+import random as rd
+import os
+import json
+import time
+import openai
+import paramiko
+import requests
+
+openai.api_key = os.environ.get('APIKEY')
+rd.seed(time.time())
+
+def postprocess(self, y):
+    if y is None:
+        return []
+    for i, (message, response) in enumerate(y):
+        y[i] = (
+            None if message is None else mdtex2html.convert((message)),
+            None if response is None else mdtex2html.convert(response),
+        )
+    return y
+
+
+gr.Chatbot.postprocess = postprocess
+
+
+def parse_text(text):
+    """copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/"""
+    lines = text.split("\n")
+    lines = [line for line in lines if line != ""]
+    count = 0
+    for i, line in enumerate(lines):
+        if "```" in line:
+            count += 1
+            items = line.split('`')
+            if count % 2 == 1:
+                lines[i] = f'<pre><code class="language-{items[-1]}">'
+            else:
+                lines[i] = f'<br></code></pre>'
+        else:
+            if i > 0:
+                if count % 2 == 1:
+                    line = line.replace("`", "\`")
+                    line = line.replace("<", "&lt;")
+                    line = line.replace(">", "&gt;")
+                    line = line.replace(" ", "&nbsp;")
+                    line = line.replace("*", "&ast;")
+                    line = line.replace("_", "&lowbar;")
+                    line = line.replace("-", "&#45;")
+                    line = line.replace(".", "&#46;")
+                    line = line.replace("!", "&#33;")
+                    line = line.replace("(", "&#40;")
+                    line = line.replace(")", "&#41;")
+                    line = line.replace("$", "&#36;")
+                lines[i] = "<br>"+line
+    text = "".join(lines)
+    return text
+
+
+def showInput(input, chatbot):
+    chatbot.append((parse_text(input), ""))
+    return chatbot
+
+
+def predict(input, chatbot, messages):
+    chatbot.append((parse_text(input), ""))
+    messages.append({"role": 'user', "content": input})
+    completion = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages,
+        logit_bias={42468: 10, 28938: 10}
+    )
+    response=completion.choices[0].message.content.strip()
+    chatbot[-1] = (parse_text(input), parse_text(response))
+    messages.append({"role": "assistant", "content": response})
+    data = {'predict': messages}
+    requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
+    return chatbot, messages
+
+
+def reset_user_input():
+    return gr.update(value='')
+
+
+def reset_state():
+    global answer
+    data = {'refresh': ''}
+    data=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8')).content
+    data = json.loads(str(data, encoding="utf-8"))
+    chatbot = data['chatbot']
+    messages = data['messages']
+    answer = data['answer']
+    return chatbot, messages, gr.update(value=""), gr.update(value="Show Answer")
+
+def apply_apikey(apikey):
+    openai.api_key = apikey
+    return gr.update(value='')
+
+
+def show_hide_answer():
+    global show_ans
+    if show_ans:
+        show_ans = False
+        return gr.update(value=""), gr.update(value="Show Answer")
+    else:
+        show_ans = True
+        return gr.update(value=answer), gr.update(value="Hide Answer")
+
+show_ans = False
+
+with gr.Blocks() as demo:
+    gr.HTML("""<h1 align="center">海龟汤</h1>""")
+
+    data = {'refresh': ''}
+    data=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8')).content
+    data = json.loads(str(data, encoding="utf-8"))
+    chatbot = gr.Chatbot(data['chatbot'])
+    answer = data['answer']
+    with gr.Row():
+        with gr.Column(scale=4):
+            with gr.Column(scale=12):
+                user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10, max_lines=10).style(
+                    container=False)
+            with gr.Column(min_width=32, scale=1):
+                submitBtn = gr.Button("Submit", variant="primary")
+            emptyBtn = gr.Button("New game")
+        with gr.Column(scale=1):
+            answer_output = gr.Textbox(show_label=False, lines=13, max_lines=13).style(
+                container=False)
+            answerBtn = gr.Button("Show Answer")
+
+    messages = gr.State(data['messages'])
+
+    # submitBtn.click(showInput, [user_input, chatbot], [chatbot])
+    submitBtn.click(predict, [user_input, chatbot, messages], [chatbot, messages],
+                    show_progress=True)
+    submitBtn.click(reset_user_input, [], [user_input])
+
+    emptyBtn.click(reset_state, outputs=[chatbot, messages, answer_output, answerBtn], show_progress=True)
+
+    answerBtn.click(show_hide_answer, outputs=[answer_output, answerBtn])
+
+demo.queue().launch()

requirements.txt

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+gradio
+mdtex2html
+openai
+pandas
+openpyxl
+paramiko
+requests