Update app.py

app.py

@@ -401,53 +401,24 @@ async def login(username: str = Form(...), password: str = Form(...), platform:
     except HTTPException as e:
         return e
 
-def gradio_interface(file, platform, count, delay, parallel_processes):
+def gradio_interface(urls, platform, count, delay, parallel_processes):
     try:
         # Suponiendo que el archivo es un CSV con columnas: URL, Count, Delay, Parallel Processes
-        import pandas as pd
-        df = pd.read_csv(file)
-
-        if os.getenv(f'{platform.upper()}_USER') and os.getenv(f'{platform.upper()}_PASSWORD'):
-            session = authenticate(os.getenv(f'{platform.upper()}_USER'), os.getenv(f'{platform.upper()}_PASSWORD'), platform)
-            for index, row in df.iterrows():
-                try:
-                    url = row['URL']
-                    simulate_views(url, platform, count, delay, parallel_processes, session)
-                    print(f"Simulation started for row {index}")
-                except Exception as e:
-                    print(f"Error processing row {index}: {e}")
-            
-            return "Simulation completed."
-        else:
-            return "Credentials not found for this platform."
-    except Exception as e:
-        return f"Error: {e}"
-
-
-def rand(min, max):
-    return random.randint(min, max)
-
-def run_simulation(file, platform, count, delay, parallel_processes):
-    try:
-        # Suponiendo que el archivo es un CSV con columnas: URL, Count, Delay, Parallel Processes
-        import pandas as pd
-        df = pd.read_csv(file)
+        # import pandas as pd
+        # df = pd.read_csv(file)
 
         if os.getenv(f'{platform.upper()}_USER') and os.getenv(f'{platform.upper()}_PASSWORD'):
             session = authenticate(os.getenv(f'{platform.upper()}_USER'), os.getenv(f'{platform.upper()}_PASSWORD'), platform)
 
             # Create a thread pool executor with maximum workers based on parallel_processes
             with ThreadPoolExecutor(max_workers=parallel_processes) as executor:
-                for index, row in df.iterrows():
+                for index, url in enumerate(urls.split("\n")):
                     try:
-                        url = row['URL']
-
                         # Execute the simulate_views function in a separate thread
                         executor.submit(simulate_views, url, platform, count, delay, parallel_processes, session)
-
-                        print(f"Simulation started for row {index}")
+                        print(f"Simulation started for URL {index+1}: {url}")
                     except Exception as e:
-                        print(f"Error processing row {index}: {e}")
+                        print(f"Error processing URL {index+1}: {e}")
             
             return "Simulation completed."
         else:
@@ -455,10 +426,14 @@ def run_simulation(file, platform, count, delay, parallel_processes):
     except Exception as e:
         return f"Error: {e}"
 
+
+def rand(min, max):
+    return random.randint(min, max)
+
 gr.Interface(
-    fn=run_simulation, 
+    fn=gradio_interface, 
     inputs=[
-        gr.File(label="Upload CSV File"),
+        gr.Textbox(label="Video URLs (one per line)"),
         gr.Dropdown(choices=["instagram", "tiktok", "youtube", "facebook", "twitch", "spotify"], label="Platform"),
         gr.Slider(minimum=1, maximum=1000, label="Count"),
         gr.Slider(minimum=1, maximum=60, label="Delay (seconds)"),