init

app.py

@@ -13,7 +13,6 @@ path = os.path.join(path, dataset_file)
 
 # Configure Google Gemini API
 gemapi = os.getenv("GeminiApi")
-
 genai.configure(api_key=gemapi)
 
 # Load the dataset
@@ -33,9 +32,6 @@ You will ask the customer a single question at a time, which is relevant, and yo
 model_path = "gemini-1.5-flash"
 FoodSafetyAssistant = genai.GenerativeModel(model_path, system_instruction=system_instruction)
 
-# Track chat history globally
-chat_history = []
-
 # Define the function to handle the chat
 def respond(usertxt, chat_history):
     # Initialize chat with the previous history
@@ -44,46 +40,38 @@ def respond(usertxt, chat_history):
     # Get response from the assistant
     response = chat.send_message(usertxt)
     
-    # Append both user input and response to the chat history for context in the next interaction
+    # Append both user input and response to the chat history
     chat_history.append({"role": "user", "content": usertxt})
     chat_history.append({"role": "assistant", "content": response.text})
     
-    return response.text, chat_history
+    return response.text, chat_history  # Return both the response and the updated chat history
 
 # Gradio interface
 def gradio_chat(usertxt, chat_history):
     response, updated_history = respond(usertxt, chat_history)
-    return response, updated_history
+    return response, updated_history  # Return the response and updated history
+
 html_content = """
 <div style="background-color:#f9f9f9; padding:20px; border-radius:10px;">
-    <!-- Project Title and Problem Statement Section -->
     <h1 style="color:#34495e;">Food Safety Assistant</h1>
     <h3 style="color:#2c3e50;">Your AI-Powered Assistant for Food Safety</h3>
-    <!-- Short Intro About AI-Chat -->
     <p style="color:#7f8c8d;">
         Our platform allows consumers to report potential food safety violations, validate reports through AI, and notify local authorities. This proactive approach fosters community involvement in ensuring food integrity.
     </p>
-    <!-- Core Functionalities Title -->
     <h4 style="color:#e74c3c; text-align:center;">Core Functionalities</h4>
-    <!-- Functionality Boxes in a Flex Layout -->
     <div style="display:flex; justify-content: space-around; align-items:center; margin-top:20px;">
-        <!-- Functionality 1 -->
         <div style="border: 2px solid #3498db; border-radius: 15px; padding: 20px; width: 150px; text-align: center;">
             <h4 style="color:#2980b9;">Report Issues</h4>
             <p style="color:#7f8c8d; font-size: 12px;">Submit details like the restaurant name and the issue, anonymously.</p>
         </div>
-        
-        <!-- Functionality 2 -->
         <div style="border: 2px solid #3498db; border-radius: 15px; padding: 20px; width: 150px; text-align: center;">
             <h4 style="color:#2980b9;">AI Validation</h4>
             <p style="color:#7f8c8d; font-size: 12px;">Validate reports using AI, ensuring accuracy and preventing duplicates.</p>
         </div>
-        <!-- Functionality 3 -->
         <div style="border: 2px solid #3498db; border-radius: 15px; padding: 20px; width: 150px; text-align: center;">
             <h4 style="color:#2980b9;">Alerts</h4>
             <p style="color:#7f8c8d; font-size: 12px;">Notify authorities of repeated issues via email or SMS.</p>
         </div>
-        <!-- Functionality 4 -->
         <div style="border: 2px solid #3498db; border-radius: 15px; padding: 20px; width: 150px; text-align: center;">
             <h4 style="color:#2980b9;">Data Chat</h4>
             <p style="color:#7f8c8d; font-size: 12px;">Enable real-time discussion between consumers and authorities.</p>
@@ -94,15 +82,15 @@ html_content = """
 
 with gr.Blocks() as demo:
     with gr.Row():
+        # Left column with chatbot
         with gr.Column(scale=2):
             gr.HTML(html_content)
-            chatbot = gr.Chatbot()  # Chatbot output
+            chatbot = gr.Chatbot()
             user_input = gr.Textbox(placeholder="Enter your message here...")
-            chat_history = gr.State([])  # Initialize State for chat history
-            
+            chat_history = gr.State([])  # Initialize State here
             submit_btn = gr.Button("Submit")
-            submit_btn.click(gradio_chat, inputs=[user_input, chat_history], outputs=[chatbot, chat_history])
-
-            gr.Dataframe(value=data)  # Display the dataset
+            submit_btn.click(gradio_chat, inputs=[user_input, chat_history], outputs=[chatbot, chat_history])  # Include chat_history as input
+            gr.Dataframe(value=data)
 
-demo.launch()
+# Launch the Gradio interface
+demo.launch()