Update app.py

app.py

@@ -25,6 +25,99 @@ from text.cleaner import clean_text
 import gradio as gr
 import webbrowser
 
+# ChatGLM2
+
+from transformers import AutoModel, AutoTokenizer, AutoConfig
+import gradio as gr
+import mdtex2html
+import torch
+import os
+
+CHECKPOINT_PATH=f'checkpoint-600'
+tokenizer = AutoTokenizer.from_pretrained("chatglm2-6b", trust_remote_code=True)
+config = AutoConfig.from_pretrained("chatglm2-6b", trust_remote_code=True, pre_seq_len=128)
+model = AutoModel.from_pretrained("chatglm2-6b", config=config, trust_remote_code=True)
+prefix_state_dict = torch.load(os.path.join(CHECKPOINT_PATH, "pytorch_model.bin"))
+new_prefix_state_dict = {}
+for k, v in prefix_state_dict.items():
+    if k.startswith("transformer.prefix_encoder."):
+        new_prefix_state_dict[k[len("transformer.prefix_encoder."):]] = v
+model.transformer.prefix_encoder.load_state_dict(new_prefix_state_dict)
+
+model = model.half().cuda()
+model.transformer.prefix_encoder.float()
+model = model.eval()
+
+
+"""Override Chatbot.postprocess"""
+
+
+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 predict(input, chatbot, max_length, top_p, temperature, history, past_key_values):
+    chatbot.append((parse_text(input), ""))
+    for response, history, past_key_values in model.stream_chat(tokenizer, input, history, past_key_values=past_key_values,
+                                                                return_past_key_values=True,
+                                                                max_length=max_length, top_p=top_p,
+                                                                temperature=temperature):
+        chatbot[-1] = (parse_text(input), parse_text(response))
+
+        yield chatbot, history, past_key_values
+
+
+def reset_user_input():
+    return gr.update(value='')
+
+
+def reset_state():
+    return [], [], None
+
+# Bert-VITS2
 
 net_g = None
 
@@ -119,9 +212,31 @@ if __name__ == "__main__":
         gr.Markdown("### <center>🍻 - 更多精彩应用，尽在[滔滔AI](http://www.talktalkai.com)；滔滔AI，为爱滔滔！💕</center>")
         with gr.Accordion("绫华", open=True):
             gr.Markdown(image_markdown)
-            
 
+        chatbot = gr.Chatbot()
+        with gr.Row():
+            with gr.Column(scale=4):
+                with gr.Column(scale=12):
+                    user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10).style(
+                        container=False)
+                with gr.Column(min_width=32, scale=1):
+                    submitBtn = gr.Button("Submit", variant="primary")
+            with gr.Column(scale=1):
+                emptyBtn = gr.Button("Clear History")
+                max_length = gr.Slider(0, 32768, value=8192, step=1.0, label="Maximum length", interactive=True)
+                top_p = gr.Slider(0, 1, value=0.8, step=0.01, label="Top P", interactive=True)
+                temperature = gr.Slider(0, 1, value=0.95, step=0.01, label="Temperature", interactive=True)
+    
+        history = gr.State([])
+        past_key_values = gr.State(None)
+    
+        submitBtn.click(predict, [user_input, chatbot, max_length, top_p, temperature, history, past_key_values],
+                        [chatbot, history, past_key_values], show_progress=True)
+        submitBtn.click(reset_user_input, [], [user_input])
+    
+        emptyBtn.click(reset_state, outputs=[chatbot, history, past_key_values], show_progress=True)
 
+        
         with gr.Row():
             with gr.Column():
                 text = gr.TextArea(label="Text", placeholder="Input Text Here",