replaced together demo with chatglm

app.py

@@ -4,6 +4,17 @@ import requests
 import os
 from text_generation import Client, InferenceAPIClient
 
+# Load pre-trained model and tokenizer - for THUDM model
+from transformers import AutoModel, AutoTokenizer
+tokenizer_glm = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
+model_glm = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
+model_glm = model_glm.eval()
+
+# Load pre-trained model and tokenizer for Chinese to English translator
+from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
+model_chtoen = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M")
+tokenizer_chtoen = M2M100Tokenizer.from_pretrained("facebook/m2m100_418M")
+
 #Streaming endpoint for OPENAI ChatGPT
 API_URL = "https://api.openai.com/v1/chat/completions"
 #Streaming endpoint for OPENCHATKIT
@@ -162,6 +173,33 @@ def predict_together(model: str,
         ]
         yield chat, history
 
+# Define function to generate model predictions and update the history
+def predict_glm(input, history=[]):
+    response, history = model_glm.chat(tokenizer_glm, input, history)
+    # translate Chinese to English
+    history = [(query, translate_Chinese_English(response)) for query, response in history]
+    return history, history #[history] + updates
+
+def translate_Chinese_English(chinese_text): 
+    # translate Chinese to English
+    tokenizer_chtoen.src_lang = "zh"
+    encoded_zh = tokenizer_chtoen(chinese_text, return_tensors="pt")
+    generated_tokens = model_chtoen.generate(**encoded_zh, forced_bos_token_id=tokenizer_chtoen.get_lang_id("en"))
+    trans_eng_text = tokenizer_chtoen.batch_decode(generated_tokens, skip_special_tokens=True)
+    return trans_eng_text[0]
+
+    
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot()
+    state = gr.State([])
+
+    with gr.Row():
+        txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)
+
+    txt.submit(predict, [txt, state], [chatbot, state])
+
+demo.launch(debug=True)
+
 
 def reset_textbox():
     return gr.update(value="")
@@ -173,7 +211,8 @@ def reset_chat(chatbot, state):
     return None, []
 
 
-title = """<h1 align="center">🔥🔥Comparison: ChatGPT & OpenChatKit </h1><br><h3 align="center">🚀A Gradio Streaming Demo</h3><br>Official Demo: <a href="https://huggingface.co/spaces/togethercomputer/OpenChatKit">OpenChatKit feedback app</a>"""
+#title = """<h1 align="center">🔥🔥Comparison: ChatGPT & OpenChatKit </h1><br><h3 align="center">🚀A Gradio Streaming Demo</h3><br>Official Demo: <a href="https://huggingface.co/spaces/togethercomputer/OpenChatKit">OpenChatKit feedback app</a>"""
+title = """<h1 align="center">🔥🔥Comparison: ChatGPT & Open Sourced CHatGLM-6B </h1><br><h3 align="center">🚀A Gradio Chatbot Demo</h3>"""
 description = """Language models can be conditioned to act like dialogue agents through a conversational prompt that typically takes the form:
 ```
 User: <utterance>
@@ -187,6 +226,7 @@ In this app, you can explore the outputs of multiple LLMs when prompted in simil
 
 with gr.Blocks(css="""#col_container {width: 1000px; margin-left: auto; margin-right: auto;}
                 #chatgpt {height: 520px; overflow: auto;}
+                #chatglm {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)
@@ -201,21 +241,23 @@ with gr.Blocks(css="""#col_container {width: 1000px; margin-left: auto; margin-r
                       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([])
-                  state_together = gr.State([])
+                  #state_together = gr.State([])
+                  state_glm = gr.State([])
 
           with gr.Box():
               with gr.Row():
                   chatbot_chatgpt = gr.Chatbot(elem_id="chatgpt", label='ChatGPT API - OPENAI')
-                  chatbot_together = gr.Chatbot(elem_id="chattogether", label='OpenChatKit - Text Generation')
+                  #chatbot_together = gr.Chatbot(elem_id="chattogether", label='OpenChatKit - Text Generation')
+                  chatbot_glm = gr.Chatbot(elem_id="chatglm", label='THUDM-ChatGLM6B')
           
       with gr.Column(scale=2, elem_id='parameters'):
           with gr.Box():
-              gr.HTML("Parameters for #OpenCHAtKit")
-              top_p = gr.Slider(minimum=-0, maximum=1.0,value=0.25, step=0.05,interactive=True, label="Top-p",)
-              temperature = gr.Slider(minimum=-0, maximum=5.0, value=0.6, step=0.1, interactive=True, label="Temperature", )
-              top_k = gr.Slider( minimum=1, maximum=50, value=50, step=1, interactive=True, label="Top-k",)
-              repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.01, step=0.01, interactive=True, label="Repetition Penalty",)
-              watermark = gr.Checkbox(value=True, label="Text watermarking")
+              gr.HTML("Parameters for #OpenCHAtKit", visible=False)
+              top_p = gr.Slider(minimum=-0, maximum=1.0,value=0.25, step=0.05,interactive=True, label="Top-p", visible=False)
+              temperature = gr.Slider(minimum=-0, maximum=5.0, value=0.6, step=0.1, interactive=True, label="Temperature",  visible=False)
+              top_k = gr.Slider( minimum=1, maximum=50, value=50, step=1, interactive=True, label="Top-k", visible=False)
+              repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.01, step=0.01, interactive=True, label="Repetition Penalty", visible=False)
+              watermark = gr.Checkbox(value=True, label="Text watermarking",  visible=False)
               model = gr.CheckboxGroup(value="Rallio67/joi2_20B_instruct_alpha",
                   choices=["togethercomputer/GPT-NeoXT-Chat-Base-20B", "Rallio67/joi2_20B_instruct_alpha", "google/flan-t5-xxl", "google/flan-ul2", "bigscience/bloomz", "EleutherAI/gpt-neox-20b",],
                   label="Model",visible=False,) 
@@ -232,18 +274,25 @@ with gr.Blocks(css="""#col_container {width: 1000px; margin-left: auto; margin-r
     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],)
-    inputs.submit( predict_together,
-                [temp_textbox_together, inputs, top_p, temperature, top_k, repetition_penalty, watermark, chatbot_together, state_together, ],
-                [chatbot_together, state_together],)
+    #inputs.submit( predict_together,
+    #            [temp_textbox_together, inputs, top_p, temperature, top_k, repetition_penalty, watermark, chatbot_together, state_together, ],
+    #            [chatbot_together, state_together],)
+    inputs.submit( predict_glm,
+                [inputs, state_glm, ],
+                [chatbot_glm, state_glm],)
     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],)
-    b1.click( predict_together,
-                [temp_textbox_together, inputs, top_p, temperature, top_k, repetition_penalty, watermark, chatbot_together, state_together, ],
-                [chatbot_together, state_together],)
+    #b1.click( predict_together,
+    #            [temp_textbox_together, inputs, top_p, temperature, top_k, repetition_penalty, watermark, chatbot_together, state_together, ],
+    #            [chatbot_together, state_together],)
+    b1.click( predict_glm,
+                [inputs, state_glm, ],
+                [chatbot_glm, state_glm],)
 
     b2.click(reset_chat, [chatbot_chatgpt, state_chatgpt], [chatbot_chatgpt, state_chatgpt])
-    b2.click(reset_chat, [chatbot_together, state_together], [chatbot_together, state_together])
+    #b2.click(reset_chat, [chatbot_together, state_together], [chatbot_together, state_together])
+    b2.click(reset_chat, [chatbot_glm, state_glm], [chatbot_glm, state_glm])
     
     gr.HTML('''<center><a href="https://huggingface.co/spaces/ysharma/OpenChatKit_ChatGPT_Comparison?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your OpenAI API Key</center>''')
     gr.Markdown(description)