revert back to pre - pdf

app.py

@@ -1,11 +1,6 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-
-from fpdf import FPDF
-import uuid
-import os
-
 #STEP 1 FROM SEMATIC SEARCH
 from sentence_transformers import SentenceTransformer
 import torch
@@ -103,19 +98,6 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
 # # Print the top results
 # print(top_weather)
 
-def generate_pdf(content, filename="chatbot_response.pdf"):
-    pdf = FPDF()
-    pdf.add_page()
-    pdf.set_font("Arial", size=12)
-
-    # Add the text line by line
-    for line in content.split("\n"):
-        pdf.multi_cell(0, 10, line)
-
-    unique_filename = f"/mnt/data/{uuid.uuid4()}_{filename}"
-    pdf.output(unique_filename)
-    return unique_filename
-
 client = InferenceClient("Qwen/Qwen2.5-72B-Instruct")
 
 def respond(message, history, language, chatbot_mode, destinations, trip_length, trip_unit, trip_season, luggage_types, luggage_size, food_prefs, activity):
@@ -211,20 +193,8 @@ def respond(message, history, language, chatbot_mode, destinations, trip_length,
         reply = response.strip()
     
     history.append((message, reply))
-
-    pdf_link = None
-
-    if "pdf" in message.lower():
-        pdf_path = generate_pdf(reply)
-        pdf_link = pdf_path
-
-
-    if pdf_link:
-        return history, "", gr.update(value=pdf_link, visible=True)
-    else:
-        return history, "", gr.update(visible=False)
-    #return history, "", pdf_link
-
+    return history, ""
+    
 def reset_inputs():
     return (
         None,  # language
@@ -260,7 +230,7 @@ with gr.Blocks() as demo:
             gr.Markdown("### Trip Length")
             trip_length = gr.Number(label="How long is your trip?", precision=0)
             trip_unit = gr.Radio(
-                choices=["day", "week", "month"],
+                choices=["day(s)", "week(s)", "month(s)"],
                 label="Trip length unit:"
             )
             trip_season = gr.Radio(
@@ -327,30 +297,43 @@ with gr.Blocks() as demo:
             # 3) send button
             send_btn = gr.Button("Send")
 
-            pdf_output = gr.File(label="Download PDF", visible=False)
-
-
             # 4) hook up the click event
             send_btn.click(
                 fn=respond,
                 inputs=[
-                    msg, chat_box, language, chatbot_mode, destinations,
-                    trip_length, trip_unit, trip_season, luggage_types,
-                    luggage_size, food_prefs, activity
+                    msg,            
+                    chat_box,       
+                    language,
+                    chatbot_mode,
+                    destinations,
+                    trip_length,
+                    trip_unit,
+                    trip_season, 
+                    luggage_types,
+                    luggage_size,
+                    food_prefs, 
+                    activity
                 ],
-                outputs=[chat_box, msg, pdf_output]
-)
+                outputs=[chat_box, msg] 
+            )
             msg.submit(
                 fn=respond,
                 inputs=[
-                    msg, chat_box, language, chatbot_mode, destinations,
-                    trip_length, trip_unit, trip_season, luggage_types,
-                    luggage_size, food_prefs, activity
+                    msg,
+                    chat_box,
+                    language,
+                    chatbot_mode,
+                    destinations,
+                    trip_length,
+                    trip_unit,
+                    trip_season, 
+                    luggage_types,
+                    luggage_size,
+                    food_prefs, 
+                    activity
                 ],
-                outputs=[chat_box, msg, pdf_output]
+                outputs=[chat_box, msg]
             )
-          
-