Update main.py

main.py

@@ -1,30 +1,21 @@
 import gradio as gr
-import torch
-import requests
-from torchvision import transforms
-
-model = torch.hub.load("pytorch/vision:v0.6.0", "resnet18", pretrained=True).eval()
-response = requests.get("https://git.io/JJkYN")
-labels = response.text.split("\n")
-
-
-def predict(inp):
-    inp = transforms.ToTensor()(inp).unsqueeze(0)
-    with torch.no_grad():
-        prediction = torch.nn.functional.softmax(model(inp)[0], dim=0)
-        confidences = {labels[i]: float(prediction[i]) for i in range(1000)}
-    return confidences
-
-
-def run():
-    demo = gr.Interface(
-        fn=predict,
-        inputs=gr.inputs.Image(type="pil"),
-        outputs=gr.outputs.Label(num_top_classes=3),
-    )
-
-    demo.launch(server_name="0.0.0.0", server_port=7860)
-
-
-if __name__ == "__main__":
-    run()
+import subprocess
+def run_command(command):
+    try:
+        result = subprocess.check_output(command, shell=True, text=True)
+        return result
+    except subprocess.CalledProcessError as e:
+        return f"Error: {e}"
+iface = gr.Interface(
+    fn=run_command,
+    inputs="text",
+    outputs="text",
+    #live=True,
+    title="Command Output Viewer",
+    description="Enter a command and view its output.",
+    examples=[
+    ["ls"],
+    ["pwd"],
+    ["echo 'Hello, Gradio!'"]]
+)
+iface.launch(server_name="0.0.0.0", server_port=7860)