lobrien001
commited on
Commit
•
7079c07
1
Parent(s):
fc5d17b
Update app.py
Browse files
app.py
CHANGED
@@ -9,7 +9,7 @@ import random
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from transformers import pipeline, AutoConfig
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# Load the model and its configuration
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model_name = "Sevixdd/roberta-base-finetuned-ner"
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ner_pipeline = pipeline("ner", model=model_name)
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config = AutoConfig.from_pretrained(model_name)
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@@ -29,7 +29,7 @@ def chat_function(message, history):
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REQUEST_COUNT.inc()
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try:
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if chat_queue.full():
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return "The model is
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chat_queue.put(message)
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logging.info(f"User: {message}")
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@@ -38,23 +38,23 @@ def chat_function(message, history):
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response = f"Response from NER model: {ner_result}"
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logging.info(f"Bot: {response}")
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time.sleep(random.uniform(0.5, 2.5)) # Simulate processing
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chat_queue.get()
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return response
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except Exception as e:
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logging.error(f"Error: {e}")
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return "An error occurred. Please try again."
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# --- Gradio Interface ---
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with gr.Blocks(
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css="""
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body {
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background-image: url("stag.jpeg");
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background-size: cover;
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background-repeat: no-repeat;
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}
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""",
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title="PLOD Filtered with Monitoring"
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) as demo:
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with gr.Tab("Chat"):
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@@ -68,41 +68,11 @@ with gr.Blocks(
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# ... other tabs (Performance Metrics, Infrastructure, Logs) ...
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# --- Update Functions ---
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# ... (implementation) ...
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def update_usage(cpu_usage_display, mem_usage_display):
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# ... (implementation) ...
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def update_logs(logs_display):
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# ... (implementation) ...
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# --- Start Threads ---
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threading.Thread(target=start_http_server, args=(8000,), daemon=True).start()
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threading.Thread(target=update_metrics, args=(request_count_display, avg_latency_display), daemon=True).start()
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threading.Thread(target=update_usage, args=(cpu_usage_display, mem_usage_display), daemon=True).start()
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threading.Thread(target=update_logs, args=(logs_display,), daemon=True).start()
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# --- Simulate Chat Interactions (Optional) ---
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def simulate_interactions():
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# ... (implementation) ...
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# threading.Thread(target=simulate_interactions, daemon=True).start() # Uncomment to enable
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# Launch the app
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demo.launch(share=True)
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from transformers import pipeline, AutoConfig
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# Load the model and its configuration
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model_name = "Sevixdd/roberta-base-finetuned-ner" # Make sure this model is available
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ner_pipeline = pipeline("ner", model=model_name)
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config = AutoConfig.from_pretrained(model_name)
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REQUEST_COUNT.inc()
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try:
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if chat_queue.full():
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return "The model is busy. Please wait..." # More user-friendly message
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chat_queue.put(message)
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logging.info(f"User: {message}")
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response = f"Response from NER model: {ner_result}"
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logging.info(f"Bot: {response}")
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time.sleep(random.uniform(0.5, 2.5)) # Simulate processing (adjust as needed)
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chat_queue.get()
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return response
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except Exception as e:
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logging.error(f"Error: {e}")
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return "An error occurred. Please try again later." # More helpful error message
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# --- Gradio Interface ---
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with gr.Blocks(
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css="""
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body {
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background-image: url("stag.jpeg");
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background-size: cover;
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background-repeat: no-repeat;
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}
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""",
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title="PLOD Filtered with Monitoring"
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) as demo:
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with gr.Tab("Chat"):
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# ... other tabs (Performance Metrics, Infrastructure, Logs) ...
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# --- Update Functions ---
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# ... (Implement update functions for metrics, usage, and logs here)
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# --- Background Threads ---
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threading.Thread(target=start_http_server, args=(8000,), daemon=True).start()
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# ... (Threads for metrics, usage, and logs update)
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# Launch the app
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demo.launch(share=True)
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