Upload 4 files

app.py

@@ -0,0 +1,140 @@
+import GPTDriveIntegration
+import gradio as gr
+
+gpt_drive = GPTDriveIntegration()
+
+def process_user_query(query, search_terms_input):
+    """Process user query and return formatted response"""
+    if not query.strip():
+        return "Please enter a question.", ""
+    
+    # Parse search terms if provided
+    search_terms = None
+    # if search_terms_input.strip():
+    #     search_terms = [term.strip() for term in search_terms_input.split(',')]
+    
+    # Process the query
+    result = gpt_drive.process_query(query, search_terms)
+    
+    # Format the response
+    answer = result['answer']
+    sources = result['sources']
+    
+    sources_text = ""
+    if sources:
+        sources_text = "**Sources used:**\n" + "\n".join([f"• {source}" for source in sources])
+    
+    return answer, sources_text
+
+def check_setup():
+    """Check if the APIs are properly configured"""
+    status_messages = []
+    
+    # Check Google Drive API
+    if gpt_drive.drive_initialized:
+        status_messages.append("✅ Google Drive API: Connected")
+    else:
+        status_messages.append(f"❌ Google Drive API: {getattr(gpt_drive, 'drive_error', 'Not configured')}")
+    
+    # Check OpenAI API
+    if gpt_drive.openai_initialized:
+        status_messages.append("✅ OpenAI API: Connected")
+    else:
+        status_messages.append(f"❌ OpenAI API: {getattr(gpt_drive, 'openai_error', 'Not configured')}")
+    
+    return "\n".join(status_messages)
+
+# Create Gradio interface
+with gr.Blocks(title="Augusta's Anatomy Reading Assistant", theme=gr.themes.Soft()) as app:
+    gr.Markdown("# 🤖 Augusta's Anatomy bot")
+    gr.Markdown("Ask questions about your anatomy books using AI!")
+    
+    with gr.Row():
+        with gr.Column(scale=2):
+            # Main query interface
+            with gr.Group():
+                gr.Markdown("### Ask a Question")
+                query_input = gr.Textbox(
+                    label="Your Question",
+                    placeholder="Ask me any question about your anatomy books?",
+                    lines=3
+                )
+                
+                search_terms_input = gr.Textbox(
+                    label="Search Terms (optional)",
+                    placeholder="Enter comma-separated terms to search for specific files",
+                    lines=1
+                )
+                
+                submit_btn = gr.Button("Search & Ask", variant="primary", size="lg")
+            
+            # Results section
+            with gr.Group():
+                gr.Markdown("### Answer")
+                answer_output = gr.Textbox(
+                    label="AI Response",
+                    lines=10,
+                    interactive=False
+                )
+                
+                sources_output = gr.Textbox(
+                    label="Sources",
+                    lines=3,
+                    interactive=False
+                )
+        
+        with gr.Column(scale=1):
+            # Status and setup info
+            with gr.Group():
+                gr.Markdown("### System Status")
+                status_btn = gr.Button("Check Status", size="sm")
+                status_output = gr.Textbox(
+                    label="API Status",
+                    lines=4,
+                    interactive=False
+                )
+            
+            with gr.Group():
+                gr.Markdown("### Setup Instructions")
+                gr.Markdown("""
+                **Important Notes:**
+                1.Only documents shared with it, it can answer
+                
+                **File Types Supported:**
+                - Google Docs
+                - Google Sheets  
+                - PDF files
+                - Text files
+                
+                **Tips:**
+                - Use specific search terms for better results
+                - The system searches the top 3 most relevant files
+                - Ask clear, specific questions for better answers
+                """)
+    
+    # Event handlers
+    submit_btn.click(
+        fn=process_user_query,
+        inputs=[query_input, search_terms_input],
+        outputs=[answer_output, sources_output]
+    )
+    
+    status_btn.click(
+        fn=check_setup,
+        outputs=status_output
+    )
+    
+    # Example queries
+    with gr.Row():
+        gr.Examples(
+            examples=[
+                ["What is morbid Anatomy?", "morbid, Anatomy"],
+                ["The transmission of nerves from one neuron to another is as a result of what?", "neuron, nerves, Dr Clement"],
+            ],
+            inputs=[query_input, search_terms_input],
+        )
+
+# Launch the app
+if __name__ == "__main__":
+    app.launch(
+        share=True,debug =True)

rag-system-463320-f292991d0516.json

@@ -0,0 +1,13 @@
+{
+  "type": "service_account",
+  "project_id": "rag-system-463320",
+  "private_key_id": "f292991d051639790555548b3142cf9447594bee",
+  "private_key": "-----BEGIN PRIVATE KEY-----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\ns3CDpUHWETb1X9bB3Jwljoc=\n-----END PRIVATE KEY-----\n",
+  "client_email": "rag-base@rag-system-463320.iam.gserviceaccount.com",
+  "client_id": "110051039758068935524",
+  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+  "token_uri": "https://oauth2.googleapis.com/token",
+  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/rag-base%40rag-system-463320.iam.gserviceaccount.com",
+  "universe_domain": "googleapis.com"
+}

requirements.txt

@@ -0,0 +1,9 @@
+google-api-python-client
+google-auth 
+openai 
+python-dotenv 
+chromadb 
+sentence-transformers 
+numpy
+gradio
+flask