push

app.py

@@ -92,7 +92,7 @@ def search(query):
 
 def process_query(user_input, history):
    
-    yield {"role": "assistant", "content": 'Preparing your request 🛠️'}
+    
     
     # Step 1: Generate a search term based on the user query
     stream_search = client.chat_completion(
@@ -110,7 +110,7 @@ def process_query(user_input, history):
 
     # Step 2: Perform the web search with the generated term
     
-    yield {"role": "assistant", "content": 'Searching the web for relevant information 🌐'}
+    
     search_results = search(search_query)
     
     # Format results as a JSON string for model input
@@ -125,13 +125,13 @@ def process_query(user_input, history):
     )
 
     
-    yield {"role": "assistant", "content": 'Analyzing the search results and crafting a response 📊'}
+    
     # Stream final response
     final_response = ""
     for chunk in response:
         content = chunk.choices[0].delta.content or ''
         final_response += content
-        yield {"role": "assistant", "content": final_response}
+        yield final_response
 
 theme = gr.themes.Citrus(
     primary_hue="blue",
@@ -165,14 +165,7 @@ examples = [
     ["What are the top-rated ETFs for technology exposure this quarter?"]
 ]
 
-chatbot = gr.Chatbot(
-    label="IM.S",
-    avatar_images=[None, BOT_AVATAR],
-    show_copy_button=True,
-    layout="panel",
-    height=700,
-    type='messages'
-)
+
 
 with gr.Blocks(theme=theme) as demo:
     with gr.Column():
@@ -181,7 +174,7 @@ with gr.Blocks(theme=theme) as demo:
     with gr.Column(scale=3, min_width=600):
         chat_interface = gr.ChatInterface(
             fn=process_query,
-            chatbot=chatbot,
+            
             examples=examples
         )