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5.py

@@ -1,5 +1,6 @@
 import threading
 import time
+import openai
 import gradio as gr
 import csv
 import re
@@ -8,6 +9,9 @@ from datetime import datetime, timedelta
 from gtts import gTTS
 from queue import Queue
 
+# Set your OpenAI API key
+openai.api_key = 'YOUR_API_KEY'
+
 # Global TTS queue
 tts_queue = Queue()
 
@@ -18,27 +22,24 @@ def load_training_data():
     global data
     if data is None:
         data = {}
-        try:
-            with open("docs/your_data.csv", "r", encoding="utf-8-sig") as csvfile:
-                reader = csv.DictReader(csvfile)
-                for row in reader:
-                    plate_number = row.get("رقم المركبة", "").strip()
-                    company_name = row.get("اسم الشركه", "").strip()
-                    date = row.get("تاريخ الدخول", "").strip()
-
-                    if plate_number not in data:
-                        data[plate_number] = []
-                    data[plate_number].append(row)
-
-                    if company_name not in data:
-                        data[company_name] = []
-                    data[company_name].append(row)
-
-                    if date not in data:
-                        data[date] = []
-                    data[date].append(row)
-        except FileNotFoundError:
-            print("Warning: Data file not found. Starting with empty dataset.")
+        with open("docs/your_data.csv", "r", encoding="utf-8-sig") as csvfile:
+            reader = csv.DictReader(csvfile)
+            for row in reader:
+                plate_number = row.get("رقم المركبة", "").strip()
+                company_name = row.get("اسم الشركه", "").strip()
+                date = row.get("تاريخ الدخول", "").strip()
+
+                if plate_number not in data:
+                    data[plate_number] = []
+                data[plate_number].append(row)
+
+                if company_name not in data:
+                    data[company_name] = []
+                data[company_name].append(row)
+
+                if date not in data:
+                    data[date] = []
+                data[date].append(row)
 
 def parse_date(date_str):
     return datetime.strptime(date_str, "%d.%m.%Y")
@@ -52,9 +53,6 @@ def get_week_range(date_str):
 
 def text_to_speech(text):
     try:
-        # Create static directory if it doesn't exist
-        os.makedirs("static", exist_ok=True)
-        
         speech = gTTS(text=text, lang='ar', slow=False)
         filename = f"text_to_speech_{int(time.time())}.mp3"
         filepath = os.path.join("static", filename)
@@ -223,5 +221,4 @@ iface = gr.Interface(
 )
 
 if __name__ == "__main__":
-    # Removed share=True for Hugging Face Spaces compatibility
-    iface.launch()
+    iface.launch(share=True)

README.md

@@ -1,6 +1,6 @@
 ---
 title: Khanfar
-app_file: app.py
+app_file: 5.py
 sdk: gradio
 sdk_version: 4.44.1
----
+---

requirements.txt

@@ -1,3 +1,4 @@
-gradio==4.44.1
-gTTS==2.4.0
-pygame==2.5.2
+gradio==5.4.0
+gTTS==2.4.0   
+pygame==2.5.2   
+openai==0.28.1

run.bat

@@ -1,2 +1,2 @@
 @echo off
-cmd /k python app.py
+cmd /k python 5.py