Update app.py

app.py

@@ -1,64 +1,50 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+import docker
+import os
+from docker.errors import NotFound
+
+# Initialize Docker client
+client = docker.from_env()
+
+def build_docker_image(dockerfile_path, image_name, api_key):
+    if api_key != "YOUR_DOCKER_API_KEY":
+        return "Invalid API Key"
+    
+    try:
+        # Load Dockerfile
+        dockerfile = open(dockerfile_path, 'r').read()
+        
+        # Build the Docker image
+        image, logs = client.images.build(path=dockerfile_path, tag=image_name)
+        
+        # Return logs of the build process
+        return "\n".join(logs)
+    except NotFound as e:
+        return f"Error: {str(e)}"
+    except Exception as e:
+        return f"Unexpected error: {str(e)}"
+
+# Gradio interface
+def file_manager(file):
+    with open(file.name, 'r') as f:
+        content = f.read()
+    return content
+
+iface = gr.Interface(
+    fn=build_docker_image,
+    inputs=[
+        gr.inputs.File(label="Select Dockerfile"),
+        gr.inputs.Textbox(label="Image Name"),
+        gr.inputs.Textbox(label="Docker API Key")
     ],
+    outputs="text",
+    live=True
 )
 
+file_manager_interface = gr.Interface(
+    fn=file_manager,
+    inputs=gr.inputs.File(label="Select File to View"),
+    outputs="text"
+)
 
-if __name__ == "__main__":
-    demo.launch()
+gr.TabbedInterface([iface, file_manager_interface], ["Build Docker Image", "File Manager"]).launch()