submit button wasn't working

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----
+MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
+TzELMAkGA1UEBhMCVVMxKTAnBgNVBAoTIEludGVybmV0IFNlY3VyaXR5IFJlc2Vh
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+MTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAK3oJHP0FDfzm54rVygc
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+rU7m2Ys6xt0nUW7/vGT1M0NPAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNV
+HRMBAf8EBTADAQH/MB0GA1UdDgQWBBR5tFnme7bl5AFzgAiIyBpY9umbbjANBgkq
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+-----END CERTIFICATE-----

src/app.py

@@ -552,66 +552,43 @@ with gr.Blocks(theme="default") as demo:
     def process_text_input(text, history):
         """Process text input with memory management."""
         if not text:
-            return history
+            return history, ""  # Return tuple to clear input
 
-        # Limit input length
-        if len(text) > 500:
-            text = text[:500] + "..."
+        try:
+            # Process the symptoms
+            diagnosis_query = f"""
+            Based on these symptoms: '{text}'
+            Provide relevant ICD-10 codes and diagnostic questions.
+            Focus on clinical implications.
+            Limit response to 1000 characters.
+            """
+            response = symptom_index.as_query_engine().query(diagnosis_query)
             
-        # Process the symptoms
-        diagnosis_query = f"""
-        Based on these symptoms: '{text}'
-        Provide relevant ICD-10 codes and diagnostic questions.
-        Focus on clinical implications.
-        Limit response to 1000 characters.
-        """
-        response = symptom_index.as_query_engine().query(diagnosis_query)
-        
-        # Clean up memory
-        cleanup_memory()
-
-        return history + [
-            {"role": "user", "content": text},
-            {"role": "assistant", "content": format_response_for_user({
-                "diagnoses": [],
-                "confidences": [],
-                "follow_up": str(response)[:1000]  # Limit response length
-            })}
-        ]
+            # Clean up memory
+            cleanup_memory()
+
+            new_history = history + [
+                {"role": "user", "content": text},
+                {"role": "assistant", "content": format_response_for_user({
+                    "diagnoses": [],
+                    "confidences": [],
+                    "follow_up": str(response)[:1000]
+                })}
+            ]
+            return new_history, ""  # Return empty string to clear input
+        except Exception as e:
+            print(f"Error processing text: {str(e)}")
+            return history, text  # Keep text on error
 
+    # Update the submit button handler
     submit_btn.click(
         fn=process_text_input,
         inputs=[text_input, chatbot],
-        outputs=chatbot,
+        outputs=[chatbot, text_input],  # Add text_input to outputs
         queue=True
+    ).then(  # Chain cleanup
+        fn=cleanup_memory,
+        inputs=None,
+        outputs=None,
+        queue=False
     )
-    
-    # Add footer with social links
-    gr.Markdown("""
-    ---
-    ### 👋 About the Creator
-    
-    Hi! I'm Graham Paasch, an experienced technology professional!
-    
-    🎥 **Check out my YouTube channel** for more tech content:  
-    [Subscribe to my channel](https://www.youtube.com/channel/UCg3oUjrSYcqsL9rGk1g_lPQ)
-    
-    💼 **Looking for a skilled developer?**  
-    I'm currently seeking new opportunities! View my experience and connect on [LinkedIn](https://www.linkedin.com/in/grahampaasch/)
-    
-    ⭐ If you found this tool helpful, please consider:
-    - Subscribing to my YouTube channel
-    - Connecting on LinkedIn
-    - Sharing this tool with others in healthcare tech
-    """)
-
-def process_symptoms(symptoms: str):
-    """Convert symptoms to ICD codes using the configured LLM"""
-    try:
-        # Use the configured LLM to process symptoms
-        response = llm.complete(
-            f"Convert these symptoms to ICD-10 codes: {symptoms}"
-        )
-        return {"icd_codes": response.text, "status": "success"}
-    except Exception as e:
-        return {"error": str(e), "status": "error"}