Revert to gradio 2.9 (hope it works!!)

app.py

@@ -1,41 +1,34 @@
 import os
+os.system("pip install gradio==2.9b23")
+#https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13985
+#os.system("python -m pip install torch==2.0.1 torchvision==0.15.2")
 import random
 import gradio as gr
 from PIL import Image
 import torch
 from random import randint
 import sys
+from subprocess import call
 import psutil
-import subprocess
-import sys
 
-def run_cmd(command):
-    try:
-        print(f"Running command: {command}")
-        # Run the command and capture both output and error
-        result = subprocess.run(command, shell=True, text=True, capture_output=True)
 
-        # Print stdout and stderr
-        if result.stdout:
-            print("Output:\n", result.stdout)
-        
-        if result.stderr:
-            print("Error:\n", result.stderr)
-        
-        # Check for command success
-        if result.returncode != 0:
-            print(f"Command failed with return code {result.returncode}")
 
+
+torch.hub.download_url_to_file('http://people.csail.mit.edu/billf/project%20pages/sresCode/Markov%20Random%20Fields%20for%20Super-Resolution_files/100075_lowres.jpg', 'bear.jpg')
+  
+    
+def run_cmd(command):
+    try:
+        print(command)
+        call(command, shell=True)
     except KeyboardInterrupt:
         print("Process interrupted")
         sys.exit(1)
-
-
 run_cmd("wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P .")
 run_cmd("pip install basicsr")
 run_cmd("pip freeze")
 
-run_cmd("wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth -P .")
+os.system("wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth -P .")
 
 
 def inference(img,mode):
@@ -54,7 +47,7 @@ def inference(img,mode):
     if mode == "base":
         run_cmd("python inference_realesrgan.py -n RealESRGAN_x4plus -i "+ INPUT_DIR + " -o " + OUTPUT_DIR)
     else:
-        run_cmd("python inference_realesrgan.py -n RealESRGAN_x4plus_anime_6B -i "+ INPUT_DIR + " -o " + OUTPUT_DIR)
+        os.system("python inference_realesrgan.py -n RealESRGAN_x4plus_anime_6B -i "+ INPUT_DIR + " -o " + OUTPUT_DIR)
     return os.path.join(OUTPUT_DIR, "1_out.png")
 
 
@@ -64,19 +57,14 @@ title = "Real-ESRGAN"
 description = "Gradio demo for Real-ESRGAN. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please click submit only once"
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2107.10833'>Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data</a> | <a href='https://github.com/xinntao/Real-ESRGAN'>Github Repo</a></p>"
 
-# Updated Gradio Interface
 gr.Interface(
-    fn=inference, 
-    inputs=[
-        gr.Image(type="pil", label="Input"),
-        gr.Radio(choices=["base", "anime"], label="Model Type", value="base")
-    ], 
-    outputs=gr.Image(type="filepath", label="Output"),
+    inference, 
+    [gr.inputs.Image(type="pil", label="Input"),gr.inputs.Radio(["base","anime"], type="value", default="base", label="model type")], 
+    gr.outputs.Image(type="file", label="Output"),
     title=title,
     description=description,
     article=article,
     examples=[
-        # ['bear.jpg', 'base'],
-        # ['anime.png', 'anime']
-    ]
-).launch()
+    #['bear.jpg','base'],
+    #['anime.png','anime']
+    ]).launch()