Update app.py

app.py

@@ -1,43 +1,98 @@
+import os
+os.system('pip install dashscope')
 import gradio as gr
-from transformers import AutoTokenizer, pipeline
-import torch
-
-# Initialize the model and tokenizer
-model = "Isaak-Carter/JOSIE_Beta-5-7B-slerp"
-tokenizer = AutoTokenizer.from_pretrained(model)
-
-ai_pipeline = transformers.pipeline(
-    "text-generation",
-    model=model_name,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-def generate_response(user_input):
-    """
-    Generate a response to the user input using the specified AI model.
-    
-    Args:
-        user_input (str): The question or prompt from the user.
-
-    Returns:
-        str: The generated response from the AI model.
-    """
-    messages = [{"role": "user", "content": user_input}]
-    prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-
-    pipeline = transformers.pipeline(
-        "text-generation",
-        model=model,
-        torch_dtype=torch.float16,
-        device_map="auto",
+from http import HTTPStatus
+import dashscope
+from dashscope import Generation
+from dashscope.api_entities.dashscope_response import Role
+from typing import List, Optional, Tuple, Dict
+from urllib.error import HTTPError
+default_system = 'You are JOSIE which is an acronym for "Just an Outstandingly Smart Intelligent Entity", a private and super-intelligent AI assistant, created by Gökdeniz Gülmez.'
+
+YOUR_API_TOKEN = os.getenv('YOUR_API_TOKEN')
+dashscope.api_key = YOUR_API_TOKEN
+
+History = List[Tuple[str, str]]
+Messages = List[Dict[str, str]]
+
+def clear_session() -> History:
+    return '', []
+
+def modify_system_session(system: str) -> str:
+    if system is None or len(system) == 0:
+        system = default_system
+    return system, system, []
+
+def history_to_messages(history: History, system: str) -> Messages:
+    messages = [{'role': Role.SYSTEM, 'content': system}]
+    for h in history:
+        messages.append({'role': Role.USER, 'content': h[0]})
+        messages.append({'role': Role.ASSISTANT, 'content': h[1]})
+    return messages
+
+
+def messages_to_history(messages: Messages) -> Tuple[str, History]:
+    assert messages[0]['role'] == Role.SYSTEM
+    system = messages[0]['content']
+    history = []
+    for q, r in zip(messages[1::2], messages[2::2]):
+        history.append([q['content'], r['content']])
+    return system, history
+
+
+def model_chat(query: Optional[str], history: Optional[History], system: str
+) -> Tuple[str, str, History]:
+    if query is None:
+        query = ''
+    if history is None:
+        history = []
+    messages = history_to_messages(history, system)
+    messages.append({'role': Role.USER, 'content': query})
+    gen = Generation.call(
+        model='J.O.S.I.E.3-Beta12-7B-slerp',
+        messages=messages,
+        result_format='message',
+        stream=True
     )
+    for response in gen:
+        if response.status_code == HTTPStatus.OK:
+            role = response.output.choices[0].message.role
+            response = response.output.choices[0].message.content
+            system, history = messages_to_history(messages + [{'role': role, 'content': response}])
+            yield '', history, system
+        else:
+            raise ValueError('Request id: %s, Status code: %s, error code: %s, error message: %s' % (
+                response.request_id, response.status_code,
+                response.code, response.message
+            ))
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("""<center><font size=8>J.O.S.I.E.3-Beta12 Preview👾</center>""")
 
-    outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+    with gr.Row():
+        with gr.Column(scale=3):
+            system_input = gr.Textbox(value=default_system, lines=1, label='System')
+        with gr.Column(scale=1):
+            modify_system = gr.Button("🛠️ Set system prompt and clear history", scale=2)
+        system_state = gr.Textbox(value=default_system, visible=False)
+    chatbot = gr.Chatbot(label='J.O.S.I.E.3-Beta12-7B')
+    textbox = gr.Textbox(lines=2, label='Input')
 
-    return outputs[0]["generated_text"]
+    with gr.Row():
+        clear_history = gr.Button("🧹 Clear history")
+        sumbit = gr.Button("🚀 Send")
 
-# Create Gradio interface
-interface = gr.Interface(fn=generate_response, inputs="text", outputs="text", title="JOSIE Beta 5", description="Asc JOSIE Beta 5.")
-interface.launch()
+    sumbit.click(model_chat,
+                 inputs=[textbox, chatbot, system_state],
+                 outputs=[textbox, chatbot, system_input],
+                 concurrency_limit = 5)
+    clear_history.click(fn=clear_session,
+                        inputs=[],
+                        outputs=[textbox, chatbot])
+    modify_system.click(fn=modify_system_session,
+                        inputs=[system_input],
+                        outputs=[system_state, system_input, chatbot])
 
+demo.queue(api_open=False)
+demo.launch(max_threads=5)