changes

.env

@@ -0,0 +1 @@
+BLACKBOX_API_KEY=

app.py

@@ -5,6 +5,7 @@ from dotenv import load_dotenv
 import nltk
 from nltk.tokenize import sent_tokenize
 import pandas as pd
+import json
 
 # Initialize NLTK
 nltk.download('punkt', quiet=True)
@@ -28,6 +29,7 @@ class CodeCopilot:
         }
         
         try:
+            # Correct API endpoint based on Blackbox documentation
             response = requests.post(
                 "https://api.blackbox.ai/chat/completions",
                 headers=headers,
@@ -60,9 +62,9 @@ class CodeCopilot:
     def generate_suggestions(self, patterns):
         """Generate suggestions based on detected patterns"""
         suggestions = []
-        if patterns['function_def'] >= 1:
+        if patterns['function_def'] > 3:
             suggestions.append("🔍 Consider breaking down into smaller functions or using a class structure.")
-        if patterns['loop'] >= 2:
+        if patterns['loop'] > 2:
             suggestions.append("🔄 You might benefit from list comprehensions or map/filter functions.")
         if patterns['conditional'] > 3:
             suggestions.append("⚖ Complex conditionals might be simplified using polymorphism or strategy pattern.")
@@ -70,8 +72,10 @@ class CodeCopilot:
     
     def process_input(self, user_input):
         """Process user input and generate response"""
+        # Analyze patterns
         patterns = self.analyze_code_patterns(user_input)
         
+        # Create context-aware prompt
         context = "\nPrevious conversation:\n" + "\n".join(
             [f"User: {h[0]}\nAI: {h[1]}" for h in self.chat_history[-self.context_window:]])
         
@@ -83,9 +87,11 @@ class CodeCopilot:
         {user_input}
         """
         
+        # Get response
         response = self.get_blackbox_response(prompt)
         suggestions = self.generate_suggestions(patterns)
         
+        # Update chat history
         self.chat_history.append((user_input, response))
         
         return response, patterns, suggestions
@@ -94,46 +100,31 @@ class CodeCopilot:
 copilot = CodeCopilot()
 
 # Gradio interface
-with gr.Blocks(theme=gr.themes.Soft(), title="🤖 AI Code Copilot") as demo:
-    # Header
-    gr.Markdown(
-        """
-        <div style='text-align: center; margin-bottom: 1rem;'>
-            <h1>🤖 AI Code Copilot</h1>
-            <p>Your interactive assistant for code suggestions and analysis</p>
-        </div>
-        """
-    )
-
-    # Main layout: input on the left, outputs on the right
+with gr.Blocks(theme=gr.themes.Soft(), title="AI Code Copilot") as demo:
+    gr.Markdown("""<h1 style="text-align: center">🤖 AI Code Copilot</h1>""")
+    
     with gr.Row():
-        with gr.Column(scale=3, min_width=300):
+        with gr.Column(scale=3):
             input_text = gr.Textbox(
-                label="Enter your code or question",
-                placeholder="Paste code snippets or ask a coding question...",
-                lines=10,
-                interactive=True
+                label="Your Code or Question",
+                placeholder="Paste your code or ask a question...",
+                lines=7
             )
-            submit_btn = gr.Button("🚀 Generate", variant="primary")
-        
-        with gr.Column(scale=5, min_width=500):
-            # Display response
-            gr.Markdown("**Assistant Response:**")
-            output_text = gr.Markdown()
-            # Display suggestions
-            gr.Markdown("**Suggestions:**")
-            suggestions_output = gr.Markdown()
-            # Display pattern analysis
-            gr.Markdown("**Pattern Analysis:**")
-            pattern_display = gr.Dataframe(
-                headers=["Pattern", "Count"],
-                datatype=["str", "number"],
-                interactive=False,
-                label="Detected code patterns"
-            )
-
-    # Processing function for both button and enter
-    def process_input_wrapper(user_input):
+            submit_btn = gr.Button("Generate", variant="primary")
+            
+        with gr.Column(scale=7):
+            with gr.Tab("Assistant Response"):
+                output_text = gr.Markdown()
+            with gr.Tab("Suggestions"):
+                suggestions = gr.Markdown()
+            with gr.Tab("Pattern Analysis"):
+                pattern_display = gr.Dataframe(
+                    headers=["Pattern", "Count"],
+                    datatype=["str", "number"],
+                    interactive=False
+                )
+    
+    def process_input(user_input):
         response, patterns, sugg = copilot.process_input(user_input)
         pattern_df = pd.DataFrame({
             "Pattern": list(patterns.keys()),
@@ -142,14 +133,15 @@ with gr.Blocks(theme=gr.themes.Soft(), title="🤖 AI Code Copilot") as demo:
         return response, sugg, pattern_df
     
     submit_btn.click(
-        fn=process_input_wrapper,
+        fn=process_input,
         inputs=input_text,
-        outputs=[output_text, suggestions_output, pattern_display]
+        outputs=[output_text, suggestions, pattern_display]
     )
+    
     input_text.submit(
-        fn=process_input_wrapper,
+        fn=process_input,
         inputs=input_text,
-        outputs=[output_text, suggestions_output, pattern_display]
+        outputs=[output_text, suggestions, pattern_display]
     )
 
 if __name__ == "__main__":