Update app.py

app.py

@@ -70,19 +70,23 @@ rag_chain = (
 
 import gradio as gr
 
-# Mock for rag_chain.stream or similar streaming function
-class MockRAGChain:
-    @staticmethod
-    def stream(message):
-        response = f"Processing your message: {message}"
-        yield response  # Mock single response for testing
-
-rag_chain = MockRAGChain()  # Replace with your actual RAG chain object
-
-# Function for chatbot responses (simplified for testing)
+# Function for the chatbot response stream
 def rag_memory_stream(message, history):
-    for response in rag_chain.stream(message):  # Streaming response
-        return response  # Mock response for now
+    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!"
+    )
 
 # Examples and app information
 examples = ['I need a car', 'What is the make and fuel type of a car?']
@@ -95,7 +99,7 @@ custom_theme = gr.themes.Base(primary_hue="blue", secondary_hue="green").set(
     body_text_color="#000000",      # Black text
 )
 
-# Interface with Car Preferences and Chat
+# Advanced Interface with Car Preferences
 with gr.Blocks(theme=custom_theme) as demo:
     gr.Markdown(f"# {title}")
     gr.Markdown(description)
@@ -104,15 +108,69 @@ with gr.Blocks(theme=custom_theme) as demo:
         # Chat Tab
         with gr.Tab("Chat"):
             chat_interface = gr.ChatInterface(
-                fn=rag_memory_stream,  # Simplified chat function
-                type="value",          # Use "value" to simplify interactions
+                fn=rag_memory_stream,
+                type="messages",
                 examples=examples,
+                fill_height=True,
             )
 
-        # Additional Tabs (optional)
+        # Car Preferences Tab
         with gr.Tab("Car Preferences"):
-            gr.Markdown("This tab handles car preferences (not modified here).")
+            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!
+        """
+    )
 
 # Launch the app
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()