Update app.py

app.py

@@ -1,37 +1,108 @@
-import gradio as gr
-import requests
 import os
-from datetime import datetime
-
-# Define the Hugging Face API endpoint
-api_url = "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-72B-Instruct"
-
-# Retrieve the token from the environment
-headers = {"Authorization": f"Bearer {os.getenv('HF_Token')}"}
-
-# Define a function to send prompts to the model and get responses
-def query(prompt):
-    response = requests.post(api_url, headers=headers, json={"inputs": prompt})
-    if response.status_code == 200:
-        result = response.json()[0]["generated_text"]
-        
-        # Log interaction to logs.txt
-        with open("logs.txt", "a") as log_file:
-            log_entry = f"{datetime.now()} - Prompt: {prompt}\nResponse: {result}\n\n"
-            log_file.write(log_entry)
-        
-        return result
-    else:
-        return f"Error {response.status_code}: {response.text}"
-
-# Create a Gradio interface with text input and output
-demo = gr.Interface(
-    fn=query,
-    inputs="text",
-    outputs="text",
-    title="Qwen-2.5 72B Interaction",
-    description="Ask complex mathematical or pattern-related questions and get responses from Qwen-2.5 72B."
-)
-
-# Launch the interface
-demo.launch()
+import gradio as gr
+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
+
+default_system = 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.'
+
+dashscope.api_key = os.getenv('YOUR_API_TOKEN')  # Ensure this token is managed securely
+
+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})
+    
+    # Request generation with controlled parameters
+    gen = Generation.call(
+        model='qwen2.5-72b-instruct',
+        messages=messages,
+        result_format='message',
+        stream=True,
+        max_new_tokens=150  # Set response length limit
+    )
+    
+    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
+            ))
+
+# Gradio Interface Setup
+with gr.Blocks() as demo:
+    gr.Markdown("""<center><font size=8>Qwen2.5-72B-Instruct👾</center>""")
+
+    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='Qwen2.5-72B-Instruct')
+    textbox = gr.Textbox(lines=1, label='Input')
+
+    with gr.Row():
+        clear_history = gr.Button("🧹 Clear history")
+        submit = gr.Button("🚀 Send")
+
+    textbox.submit(model_chat,
+                   inputs=[textbox, chatbot, system_state],
+                   outputs=[textbox, chatbot, system_input],
+                   concurrency_limit=5)  # Reduced for free plan
+
+    submit.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],
+                        concurrency_limit=5)
+    
+    modify_system.click(fn=modify_system_session,
+                        inputs=[system_input],
+                        outputs=[system_state, system_input, chatbot],
+                        concurrency_limit=5)
+
+# Launching with reduced threads for free plan
+demo.queue(api_open=False)
+demo.launch(max_threads=10)