feat: modal changes

app.py

@@ -1,22 +1,28 @@
+import subprocess
 import os
 import gradio as gr
-import subprocess
 
-def install_dependencies():
- if not os.path.exists("project"):
- subprocess.run(["git", "clone", "https://github.com/luisesantillan/project"])
- subprocess.run(["pip", "install", "-r", "project/requirements.txt"])
- subprocess.run(["python", "project/download_files.py"])
+# Step 1: Clone the GitHub repository and install requirements
+if not os.path.exists("project"):
+ subprocess.run(["git", "clone", "https://github.com/luisesantillan/project"])
+ subprocess.run(["pip", "install", "-r", "project/requirements.txt"])
+ subprocess.run(["python", "project/download_files.py"])
+
+# Step 2: Change directory to the project folder
+os.chdir("project")
+
+# Step 3: Start TensorBoard (if required)
+tensorboard = True # Change this to False if you don't want to use TensorBoard
 
-def start_tensorboard():
- if tensorboard:
- subprocess.Popen(["tensorboard", "--logdir", "./project/logs"])
+if tensorboard:
+ subprocess.Popen(["tensorboard", "--logdir", "./logs"])
 
-def run_app():
- subprocess.run(["python", "project/app.py", "--colab"])
+# Step 4: Start the Gradio app
+def gradio_app(input_text):
+ # Step 5: Run the app.py script with input_text as an argument
+ result = subprocess.run(["python", "app.py", "--colab", input_text], capture_output=True, text=True)
+ return result.stdout
 
-if __name__ == "__main__":
- tensorboard = True # Set this to True or False based on your requirement
- install_dependencies()
- start_tensorboard()
- run_app()
+# Create a Gradio interface
+iface = gr.Interface(fn=gradio_app, inputs="text", outputs="text", live=True)
+iface.launch()

requirements.txt

@@ -0,0 +1,2 @@
+gradio==2.1.0
+tensorflow==2.7.0 # Make sure to specify your desired TensorFlow version