Update app.py

app.py

@@ -1,25 +1,43 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import pandas as pd
 
 client = InferenceClient("microsoft/phi-4")
 
+clothing_df = pd.read_csv("clothing_daatabase.csv")
+
 def respond(message,history): #function to return the history of messages sent
-    messages = [{"role": "system", "content": "You are a friendly chatbot!"}]
+    messages = [{"role": "system", "content": "You are a clothing assistant. Based on the the user's request, suggest suitable clothing items from the database and return their image paths"}]
 
     if history:
         messages.extend(history)
 
     messages.append({"role": "user", "content":message})
 
-    
-    response = client.chat_completion(
-        messages,
-        max_tokens = 568
-    )
+#get AI reasoning    
+    response = client.chat_completion(messages, max_tokens=200)
+    ai_text = response
     return response['choices'][0]['message']['content'].strip()
 
 
-chatbot = gr.ChatInterface(respond, type="messages", title = "Friendly chatbot") 
+chatbot = gr.ChatInterface(respond, type="messages", title = "Capstone project") 
 # chatbot UI - conversation history and user input
 
+
+#Load the clothing database
+clothing_df = pd.read_csv("clothing_databse.csv")
+
+def search_clothing(weather=None, formality=None):
+    results = clothing_df
+    if weather:
+        results = results[results[weather].str.contain(weather, case=False)]
+    if formality:
+        results = results[results[formality].str.contains(formality, case=False)]
+    return results
+
+
+
+
+
+
 chatbot.launch()