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nileshhanotia
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -1,35 +1,21 @@
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# main.py
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import gradio as gr
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from sql_generator import SQLGenerator
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from intent_classifier import IntentClassifier
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from rag_system import RAGSystem
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import time
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class UnifiedSystem:
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def __init__(self):
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self.sql_generator = SQLGenerator()
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self.intent_classifier = IntentClassifier()
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self.rag_system = RAGSystem()
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self.stop_processing = False # Flag to stop processing
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def stop_query(self):
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self.stop_processing = True # Set the flag to stop processing
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def process_query(self, query):
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self.stop_processing = False # Reset the stop flag
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intent, confidence = self.intent_classifier.classify(query)
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if intent == "database_query":
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sql_query = self.sql_generator.generate_query(query)
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products = self.sql_generator.fetch_shopify_data("products")
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# Simulating long processing time
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time.sleep(2) # Replace this with actual processing logic
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# Check if the process has been stopped
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if self.stop_processing:
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return "Query processing was stopped by the user."
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if products and 'products' in products:
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results = "\n".join([
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f"Title: {p['title']}, Vendor: {p['vendor']}"
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@@ -42,11 +28,6 @@ class UnifiedSystem:
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elif intent == "product_description":
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rag_response = self.rag_system.process_query(query)
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# Check if the process has been stopped
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if self.stop_processing:
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return "Query processing was stopped by the user."
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return f"Intent: Product Description (Confidence: {confidence:.2f})\n\n" \
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f"Response: {rag_response}"
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@@ -57,23 +38,17 @@ def create_interface():
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iface = gr.Interface(
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fn=system.process_query,
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inputs=
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),
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gr.Button("Stop Processing") # Add a button to stop the process
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],
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outputs=gr.Textbox(label="Response"),
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title="Unified Query Processing System",
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description="Enter a natural language query to search products or get descriptions."
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)
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# Bind the stop_query method to the button
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iface.add_event("Stop Processing", system.stop_query)
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return iface
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if __name__ == "__main__":
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iface = create_interface()
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iface.launch(
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import gradio as gr
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from sql_generator import SQLGenerator
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from intent_classifier import IntentClassifier
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from rag_system import RAGSystem
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class UnifiedSystem:
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def __init__(self):
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self.sql_generator = SQLGenerator()
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self.intent_classifier = IntentClassifier()
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self.rag_system = RAGSystem()
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def process_query(self, query):
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intent, confidence = self.intent_classifier.classify(query)
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if intent == "database_query":
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sql_query = self.sql_generator.generate_query(query)
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products = self.sql_generator.fetch_shopify_data("products")
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if products and 'products' in products:
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results = "\n".join([
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f"Title: {p['title']}, Vendor: {p['vendor']}"
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elif intent == "product_description":
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rag_response = self.rag_system.process_query(query)
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return f"Intent: Product Description (Confidence: {confidence:.2f})\n\n" \
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f"Response: {rag_response}"
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iface = gr.Interface(
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fn=system.process_query,
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inputs=gr.Textbox(
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label="Enter your query",
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placeholder="e.g., 'Show me all T-shirts' or 'Describe the product features'"
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),
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outputs=gr.Textbox(label="Response"),
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title="Unified Query Processing System",
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description="Enter a natural language query to search products or get descriptions."
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)
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return iface
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if __name__ == "__main__":
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iface = create_interface()
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iface.launch(
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