Update app.py

app.py

@@ -11,14 +11,13 @@ from pathlib import Path
 # Core dependencies
 try:
     from together import Together
-    import PyPDF2
     import speech_recognition as sr
     import io
     import subprocess
     import sys
 except ImportError as e:
     print(f"Missing dependency: {e}")
-    print("Install with: pip install together PyPDF2 speechrecognition pyaudio")
+    print("Install with: pip install together speechrecognition pyaudio")
     sys.exit(1)
 
 class ConversationMemory:
@@ -45,7 +44,7 @@ class ConversationMemory:
         self.context_graph = {}
         self.session_data = {}
     
-    def get_relevant_context(self, query: str, limit: int = 3) -> List[Dict]:
+    def get_relevant_context(self, query: str, hope: int = 3) -> List[Dict]:
         relevant = []
         query_lower = query.lower()
         
@@ -85,18 +84,6 @@ class NexusAI:
         except Exception as e:
             return False, f"❌ Failed to initialize API key: {str(e)}"
     
-    def extract_text_from_pdf(self, pdf_path: str) -> str:
-        """Extract text from PDF file"""
-        try:
-            with open(pdf_path, 'rb') as file:
-                pdf_reader = PyPDF2.PdfReader(file)
-                text = ""
-                for page in pdf_reader.pages:
-                    text += page.extract_text() + "\n"
-                return text.strip()
-        except Exception as e:
-            return f"Error reading PDF: {str(e)}"
-    
     def transcribe_audio(self, audio_path: str) -> str:
         """Transcribe audio to text"""
         try:
@@ -137,7 +124,7 @@ class NexusAI:
         messages = []
         
         system_msg = """You are Nexus AI, a creative multimodal assistant that helps users across different types of content. 
-        You excel at connecting insights across text, documents, voice, and code. Always provide helpful, 
+        You excel at connecting insights across text, voice, and code. Always provide helpful, 
         contextual responses that build on previous interactions when relevant."""
         
         messages.append({"role": "system", "content": system_msg})
@@ -209,21 +196,6 @@ def process_text_input(user_input: str, api_key_status: str) -> str:
     
     return nexus_ai.generate_response(user_input, "text")
 
-def process_pdf_input(pdf_file, user_question: str, api_key_status: str) -> str:
-    """Process PDF input with question"""
-    if api_key_status != "success":
-        return "❌ Please initialize your Together AI API key first!"
-    
-    if pdf_file is None:
-        return "Please upload a PDF file first!"
-    
-    extracted_text = nexus_ai.extract_text_from_pdf(pdf_file)
-    
-    if user_question.strip():
-        return nexus_ai.generate_response(user_question, "pdf", extracted_text)
-    else:
-        return nexus_ai.generate_response("Please summarize this document", "pdf", extracted_text)
-
 def process_audio_input(audio_file, user_question: str, api_key_status: str) -> str:
     """Process audio input with question"""
     if api_key_status != "success":
@@ -285,10 +257,6 @@ def clear_text_inputs():
     """Clear text input and output"""
     return "", ""
 
-def clear_pdf_inputs():
-    """Clear PDF input and output"""
-    return None, "", ""
-
 def clear_audio_inputs():
     """Clear audio input and output"""
     return None, "", ""
@@ -496,39 +464,6 @@ def create_nexus_interface():
                             elem_classes=["scrollable-textarea"]
                         )
             
-            with gr.Tab("📄 PDF Analysis"):
-                with gr.Row():
-                    with gr.Column(scale=1, elem_classes=["input-card"]):
-                        pdf_file = gr.File(
-                            label="Upload PDF",
-                            file_types=[".pdf"]
-                        )
-                        pdf_question = gr.Textbox(
-                            label="Question about PDF (optional)",
-                            placeholder="What would you like to know about this document?",
-                            lines=3,
-                            elem_classes=["scrollable-textarea"]
-                        )
-                        with gr.Row():
-                            pdf_btn = gr.Button(
-                                "Analyze PDF", 
-                                variant="primary",
-                                elem_classes=["primary-button"]
-                            )
-                            pdf_clear_btn = gr.Button(
-                                "Clear", 
-                                variant="secondary",
-                                elem_classes=["danger-button"]
-                            )
-                    
-                    with gr.Column(scale=1, elem_classes=["output-card"]):
-                        pdf_output = gr.Textbox(
-                            label="Analysis Result",
-                            lines=12,
-                            interactive=False,
-                            elem_classes=["scrollable-textarea"]
-                        )
-            
             with gr.Tab("🎤 Voice Processing"):
                 with gr.Row():
                     with gr.Column(scale=1, elem_classes=["input-card"]):
@@ -654,18 +589,6 @@ def create_nexus_interface():
             outputs=[text_input, text_output]
         )
         
-        pdf_btn.click(
-            fn=process_pdf_input,
-            inputs=[pdf_file, pdf_question, api_key_state],
-            outputs=[pdf_output]
-        )
-        
-        pdf_clear_btn.click(
-            fn=clear_pdf_inputs,
-            inputs=[],
-            outputs=[pdf_file, pdf_question, pdf_output]
-        )
-        
         audio_btn.click(
             fn=process_audio_input,
             inputs=[audio_file, audio_question, api_key_state],