Update app.py

app.py

@@ -69,32 +69,19 @@ rag_chain = (
 
 import gradio as gr
 
-# Mock for `rag_chain.stream` since it’s undefined in the snippet
+# Mock for `rag_chain.stream` or similar streaming function
 class MockRAGChain:
     @staticmethod
     def stream(message):
-        for word in message.split():
-            yield word + " "
+        response = f"Processing your message: {message}"
+        yield response  # Mock single response for testing
 
-rag_chain = MockRAGChain()  # Replace this with the actual implementation
+rag_chain = MockRAGChain()  # Replace with your actual RAG chain object
 
-# Function for the chatbot response stream
+# Function for chatbot responses (simplified for testing)
 def rag_memory_stream(message, history):
-    partial_text = ""
-    for new_text in rag_chain.stream(message):
-        partial_text += new_text
-        yield partial_text
-
-# Function to process car preferences
-def process_preferences(make, budget, fuel_type):
-    return (
-        f"You've selected:\n"
-        f"- **Preferred Make**: {make}\n"
-        f"- **Budget**: ${budget}\n"
-        f"- **Fuel Type**: {fuel_type}\n\n"
-        f"Based on your preferences, I recommend exploring the latest models of {make} "
-        f"that fit your budget and offer {fuel_type.lower()} options!"
-    )
+    for response in rag_chain.stream(message):  # Streaming response
+        return response  # Mock response for now
 
 # Examples and app information
 examples = ['I need a car', 'What is the make and fuel type of a car?']
@@ -107,7 +94,7 @@ custom_theme = gr.themes.Base(primary_hue="blue", secondary_hue="green").set(
     body_text_color="#000000",      # Black text
 )
 
-# Advanced Interface with Car Preferences
+# Interface with Car Preferences and Chat
 with gr.Blocks(theme=custom_theme) as demo:
     gr.Markdown(f"# {title}")
     gr.Markdown(description)
@@ -116,70 +103,16 @@ with gr.Blocks(theme=custom_theme) as demo:
         # Chat Tab
         with gr.Tab("Chat"):
             chat_interface = gr.ChatInterface(
-                fn=rag_memory_stream,
-                type="messages",
+                fn=rag_memory_stream,  # Simplified chat function
+                type="value",          # Use "value" to simplify interactions
                 examples=examples,
             )
 
-        # Car Preferences Tab
+        # Additional Tabs (optional)
         with gr.Tab("Car Preferences"):
-            gr.Markdown("### Provide your preferences to get tailored advice:")
-            
-            make = gr.Dropdown(
-                choices=["Toyota", "Honda", "BMW", "Tesla", "Ford"],
-                label="Preferred Make",
-                info="Choose the car manufacturer you prefer.",
-            )
-            budget = gr.Slider(
-                minimum=5000, maximum=100000, step=500,
-                label="Budget (in USD)",
-                info="Select your budget range.",
-            )
-            fuel_type = gr.Radio(
-                choices=["Gasoline", "Diesel", "Electric", "Hybrid"],
-                label="Fuel Type",
-                info="Choose the type of fuel you prefer.",
-            )
-            submit_button = gr.Button("Submit Preferences")
-            output = gr.Textbox(
-                label="Recommendation",
-                placeholder="Your recommendations will appear here...",
-            )
-            
-            # Link the submit button to the processing function
-            submit_button.click(
-                process_preferences,  # Function to call
-                inputs=[make, budget, fuel_type],  # Inputs from UI
-                outputs=output,  # Where to display the result
-            )
-
-        # Upload Documents Tab
-        with gr.Tab("Upload Documents"):
-            gr.Markdown("### Upload any related documents for personalized suggestions:")
-            file_upload = gr.File(label="Upload Car Listings or Preferences")
-
-        # Help Tab
-        with gr.Tab("Help"):
-            gr.Markdown("### Need Assistance?")
-            gr.Markdown(
-                """
-                - Use the **Chat** tab to ask questions about cars.
-                - Fill in your **Car Preferences** for tailored recommendations.
-                - Upload files in the **Upload Documents** tab.
-                - Contact support at: [email protected]
-                """
-            )
-
-    gr.Markdown("### About")
-    gr.Markdown(
-        """
-        This chatbot is powered by LangChain and Groq API for real-time AI interactions. 
-        Designed to provide personalized car-buying assistance!
-        """
-    )
+            gr.Markdown("This tab handles car preferences (not modified here).")
 
 # Launch the app
 if __name__ == "__main__":
     demo.launch()
 
-