Update app.py

app.py

@@ -1968,6 +1968,24 @@ Question: {question}<|end|>
 Sure! The Responses are as follows:
 """
 
+#phi-dataframe creation
+
+# Extract information using regex (assuming response format as given above)
+    doc_names = re.findall(r'Document name: (.+)', phi_response)
+    page_numbers = re.findall(r'Page No: (\d+)', phi_response)
+    responses = re.findall(r'Response: (.+)', phi_response)
+    
+    # Create a DataFrame with the extracted information
+    data = {'Document Name': doc_names[:3], 'Page Number': page_numbers[:3], 'Top 3 Responses': responses[:3]}
+    df = pd.DataFrame(data)
+    
+    return df
+
+# Function to display the table based on the Phi-3.5 response
+def display_phi_table(input_prompt):
+    df = generate_phi_response(input_prompt)
+    return df
+
 
 def generate_bot_response(history, choice, retrieval_mode, model_choice):
     if not history:
@@ -2129,19 +2147,6 @@ Sure! Here is the response for your Query:
 
     return final_response
 
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 # Define a new template specifically for GPT-4o-mini in VDB Details mode
 gpt4o_mini_template_details = f"""
 As a highly specialized assistant, I provide precise, detailed, and informative responses. On this bright day of {current_date}, I'm equipped to assist with all your queries about Birmingham, Alabama, offering detailed insights tailored to your needs.
@@ -2150,8 +2155,9 @@ Given your request, here is the detailed information you're seeking:
 Question: {{question}}
 Detailed Answer:
 """
-
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+#dataframe on gradio
+import pandas as pd
+import ace_tools as tools  # For displaying the DataFrame in Gradio
 
 import traceback
 
@@ -3166,7 +3172,12 @@ with gr.Blocks(theme='gradio/soft') as demo:
         #     refresh_button = gr.Button("Refresh Images")
         #     refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
             
+    with gr.Column():
+        # Add the DataFrame output for Phi-3.5 model responses
+            dataframe_output = gr.DataFrame(label="Phi-3.5 Model Output", interactive=False)
 
+            # Show the DataFrame when the input is submitted
+            chat_input.submit(display_phi_table, inputs=[chat_input], outputs=[dataframe_output])