Efficient fix : for timing and character length

Efficient fix : for timing to not overload the api service
Character length to not over load the search in database in case of the AI returned just 1 word

app.py

@@ -5,6 +5,7 @@ import requests
 import os
 import gradio as gr
 from smolagents import tool
+import time
 
 #specialtoken=os.getenv("SPECIALTOKEN")+"deepseek-r1-0528"
 specialtoken=os.getenv("SPECIALTOKEN")+"openai"#"openai-large"#"openai-roblox"
@@ -108,12 +109,12 @@ def get_unique_symptoms(list_text:List[str])->List[str]:
             symptoms = text.replace(" and ", " ").replace(" been ", " ").replace(" also ", " ").replace(" like ", " ").replace(" due ", " ").replace(" a ", " ").replace(" as ", " ").replace(" an ", " ").replace(",", " ").replace(".", " ").replace(";", " ").replace("(", " ").replace(")", " ").split()
             symptoms = [symptom.strip() for symptom in symptoms if symptom.strip()]  # Remove extra whitespace and empty strings
             all_symptoms.extend(symptoms)
-        elif type(text)==str:
+        elif type(text)==str and len(text)>1:
             symptoms = text.replace(" and ", " ").replace(" been ", " ").replace(" also ", " ").replace(" like ", " ").replace(" due ", " ").replace(" a ", " ").replace(" as ", " ").replace(" an ", " ").replace(",", " ").replace(".", " ").replace(";", " ").replace("(", " ").replace(")", " ").split()
             symptoms = [symptom.strip() for symptom in symptoms if symptom.strip()]  # Remove extra whitespace and empty strings
             all_symptoms.extend(symptoms)
         else:
-            print ("No Correct DataType")
+            print ("No Correct DataType or 1 charater text O.o")
         #if not isinstance(text, str) or not text:
         #continue
 
@@ -292,7 +293,7 @@ def full_treatment_answer_ai(user_input:str)->str:
             all_related_plants.append(each)
     plants_info=""
     if len(all_related_plants)>0:
-        for each in all_related_plants[:4]: #GET top 5 if available
+        for each in all_related_plants[:6]: #GET top 7 if available
             plants_info+="""Here are some plants that might be relevant:\nPlant:{each['name']}\n{each['description']}\nCures:{each['treatable_conditions']}.\n """
     else:
         plants_info="No Plants found , please get useful plants from anywhere or any other sources."
@@ -368,7 +369,8 @@ def is_symtoms_intext_ai(text_input:str)->str: #used instead of: analyze_symptom
     response = requests.get(f"{fasttoken}/{prompt}")
     response_text=response.text
     if len(response_text)>2:
-        return response_text
+        if "error" not in response_text.lower():
+            return response_text
     return ""
 
 class BotanistAssistant:
@@ -511,6 +513,7 @@ class BotanistAssistant:
         treatment_response=""
         symtoms_intext=is_symtoms_intext_ai(message)
         if symtoms_intext:
+            time.sleep(1.6)
             treatment_response=full_treatment_answer_ai(symtoms_intext)
             #yield treatment_response
         
@@ -553,8 +556,8 @@ def create_app(api_endpoint: str) -> gr.Blocks:
                 gr.Examples(
                     examples=[
                         ["I have headache and fever"],
-                        ["nausea, and injury caused bleeding"],
-                        ["insomnia, anxiety"]
+                        ["got nausea, and injury caused bleeding"],
+                        ["I feel insomnia, and anxiety"]
                     ],
                     inputs=chat.textbox,
                     label="Try these examples"