Create app.py

app.py

@@ -0,0 +1,60 @@
+# app.py
+
+import gradio as gr
+import subprocess
+import os
+import time
+
+def run_pipeline():
+    """
+    Runs the pipeline.sh script and yields its output line by line.
+    """
+    # Make sure the script is executable
+    os.chmod("pipeline.sh", 0o755)
+    
+    # Start the subprocess
+    process = subprocess.Popen(
+        ["./pipeline.sh"],
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT,
+        text=True,
+        bufsize=1,
+        universal_newlines=True,
+    )
+
+    # Yield each line of output from the script
+    yield "--- Pipeline Started ---\n"
+    for line in process.stdout:
+        yield line
+        time.sleep(0.05) # Small sleep to make streaming smooth
+    
+    process.wait()
+    yield f"\n--- Pipeline Finished with exit code: {process.returncode} ---"
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🚀 Bengali-Code LLM - Dev Pipeline Demonstrator")
+    gr.Markdown(
+        "This Space demonstrates the end-to-end development pipeline for the Bengali-Code LLM. "
+        "It runs in **Dev Mode** on a free CPU, using sample data and training a tiny ~1M parameter model. "
+        "Click the button below to start the run and see the live logs."
+    )
+    
+    start_button = gr.Button("▶️ Start Pipeline Run", variant="primary")
+    
+    console_output = gr.Textbox(
+        label="Live Console Output",
+        lines=25,
+        max_lines=25,
+        interactive=False,
+        autoscroll=True,
+        placeholder="Pipeline output will appear here..."
+    )
+
+    start_button.click(
+        fn=run_pipeline,
+        inputs=[],
+        outputs=[console_output]
+    )
+
+demo.launch()