Update app.py

app.py

@@ -3,7 +3,6 @@ import gradio as gr
 import json, re
 import openai
 from datetime import datetime
-from pydub import AudioSegment
 import pdfplumber, docx, pandas as pd
 from PIL import Image
 
@@ -32,7 +31,8 @@ def chat_with_groq(message, state):
         reply = f"❌ Error: {e}"
 
     oai_history.append({"role": "assistant", "content": reply})
-    chatbot_ui.append([message, reply])
+    chatbot_ui.append({"role": "user", "content": message})
+    chatbot_ui.append({"role": "assistant", "content": reply})
 
     return "", chatbot_ui, {"oai_history": oai_history, "chatbot_ui": chatbot_ui}
 
@@ -60,12 +60,9 @@ def load_chat(name):
         with open(filename, "r", encoding="utf-8") as f:
             oai_history = json.load(f)
         chatbot_ui = []
-        for i in range(0, len(oai_history)):
-            if oai_history[i]["role"] == "user":
-                user_msg = oai_history[i]["content"]
-                if i + 1 < len(oai_history) and oai_history[i+1]["role"] == "assistant":
-                    bot_msg = oai_history[i+1]["content"]
-                    chatbot_ui.append([user_msg, bot_msg])
+        for m in oai_history:
+            if m["role"] in ["user", "assistant"]:
+                chatbot_ui.append({"role": m["role"], "content": m["content"]})
         return chatbot_ui, {"oai_history": oai_history, "chatbot_ui": chatbot_ui}, f"✅ Loaded {name}"
     except Exception as e:
         return [], {"oai_history": [], "chatbot_ui": []}, f"❌ Could not load {name}: {e}"
@@ -87,14 +84,14 @@ def process_file(file):
         if ext == "pdf":
             with pdfplumber.open(file.name) as pdf:
                 text = "\n".join([p.extract_text() for p in pdf.pages if p.extract_text()])
-        elif ext in ["docx"]:
+        elif ext == "docx":
             doc = docx.Document(file.name)
             text = "\n".join([p.text for p in doc.paragraphs])
         elif ext in ["csv", "xlsx"]:
             df = pd.read_csv(file.name) if ext == "csv" else pd.read_excel(file.name)
             text = df.to_string()
         elif ext in ["png", "jpg", "jpeg"]:
-            image = Image.open(file.name)
+            Image.open(file.name)  # just validate
             text = "Image uploaded. Please describe what you want to know."
         else:
             text = file.read().decode("utf-8")
@@ -126,14 +123,14 @@ textarea, input[type='text'] { background: #f0f0f0; border-radius: 8px; }
 
     gr.Markdown("# 🤖 Neobot - Always Listening", elem_id="title")
 
-    chatbot = gr.Chatbot()
+    chatbot = gr.Chatbot(type="messages")
 
     with gr.Row():
         chat_input = gr.Textbox(placeholder="Type here or use mic...", scale=6, show_label=False)
         send_btn = gr.Button("🚀", scale=1)
 
     with gr.Row():
-        mic_audio = gr.Audio(source="microphone", type="filepath", label="🎙️ Record Voice")
+        mic_audio = gr.Audio(type="filepath", label="🎙️ Record Voice")
         mic_audio.change(transcribe_audio, [mic_audio], [chat_input])
 
     with gr.Row():