app.py

import sys
import os
import subprocess # For calling generate.py
import tempfile # For handling temporary image files
from typing import Optional
from PIL import Image as PILImage
import gradio as gr

# Add the cloned nanoVLM directory to Python's system path (generate.py might need this too if it imports from 'models')
NANOVLM_REPO_PATH = "/app/nanoVLM"
if NANOVLM_REPO_PATH not in sys.path:
    print(f"DEBUG: Adding {NANOVLM_REPO_PATH} to sys.path")
    sys.path.insert(0, NANOVLM_REPO_PATH)

print(f"DEBUG: Python sys.path: {sys.path}")

# Path to the generate.py script within our Docker container
GENERATE_SCRIPT_PATH = "/app/nanoVLM/generate.py"
MODEL_REPO_ID = "lusxvr/nanoVLM-222M" # Model ID for generate.py

print(f"DEBUG: Using generate.py script at: {GENERATE_SCRIPT_PATH}")
print(f"DEBUG: Using model repo ID: {MODEL_REPO_ID}")


def call_generate_script(image_path: str, prompt_text: str) -> str:
    """
    Calls the generate.py script as a subprocess and returns its output.
    """
    print(f"DEBUG (call_generate_script): Calling with image_path='{image_path}', prompt='{prompt_text}'")
    
    # Arguments for generate.py (ensure they match its expected format)
    # From previous success: --hf_model, --image, --prompt, --generations, --max_new_tokens
    cmd_args = [
        "python", "-u", GENERATE_SCRIPT_PATH,
        "--hf_model", MODEL_REPO_ID,
        "--image", image_path,
        "--prompt", prompt_text,
        "--generations", "1",      # Get one generation for the UI
        "--max_new_tokens", "70"   # Adjust as needed
        # --device is handled by generate.py internally
    ]
    
    print(f"DEBUG (call_generate_script): Executing command: {' '.join(cmd_args)}")
    
    try:
        # Execute the command
        # capture_output=True, text=True are for Python 3.7+
        # For Python 3.9 (as in your Dockerfile base), this is fine.
        process = subprocess.run(
            cmd_args,
            capture_output=True,
            text=True,
            check=True,  # Raise an exception for non-zero exit codes
            timeout=2400  # Add a timeout (e.g., 2 minutes)
        )
        
        stdout = process.stdout
        stderr = process.stderr
        
        print(f"DEBUG (call_generate_script): generate.py STDOUT:\n{stdout}")
        if stderr:
            print(f"DEBUG (call_generate_script): generate.py STDERR:\n{stderr}")

        # --- Parse the output from generate.py ---
        # The generate.py script prints:
        # Outputs:
        #   >> Generation 1:  Actual generated text here.
        # We need to extract "Actual generated text here."
        
        output_lines = stdout.splitlines()
        generated_text = "Error: Could not parse output from generate.py script." # Default
        
        parsing_output = False
        for line in output_lines:
            if "Outputs:" in line:
                parsing_output = True
                continue
            if parsing_output and line.strip().startswith(">> Generation 1:"):
                # Extract text after ">> Generation 1:  " (note the two spaces)
                generated_text = line.split(">> Generation 1:  ", 1)[-1].strip()
                break # Found the first generation
        
        print(f"DEBUG (call_generate_script): Parsed generated text: '{generated_text}'")
        return generated_text

    except subprocess.CalledProcessError as e:
        print(f"ERROR (call_generate_script): generate.py exited with error code {e.returncode}")
        print(f"ERROR (call_generate_script): STDOUT: {e.stdout}")
        print(f"ERROR (call_generate_script): STDERR: {e.stderr}")
        return f"Error executing generation script (Code {e.returncode}). Check logs."
    except subprocess.TimeoutExpired:
        print("ERROR (call_generate_script): generate.py timed out.")
        return "Error: Generation script timed out."
    except Exception as e:
        print(f"ERROR (call_generate_script): An unexpected error occurred: {e}")
        import traceback
        traceback.print_exc()
        return f"An unexpected error occurred while calling generation script: {str(e)}"


def gradio_interface_fn(image_input_pil: Optional[PILImage.Image], prompt_input_str: Optional[str]) -> str:
    print(f"DEBUG (gradio_interface_fn): Received prompt: '{prompt_input_str}'")
    if image_input_pil is None:
        return "Please upload an image."
    if not prompt_input_str:
        return "Please provide a prompt."

    # Save the uploaded PIL image to a temporary file
    # tempfile.NamedTemporaryFile creates a file that is deleted when closed.
    # We need to ensure it has a .jpg extension for some image libraries if they are picky.
    # The 'delete=False' allows us to close it, pass its name, and then delete it manually.
    try:
        with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as tmp_image_file:
            image_input_pil.save(tmp_image_file, format="JPEG")
            tmp_image_path = tmp_image_file.name
        
        print(f"DEBUG (gradio_interface_fn): Temporary image saved to: {tmp_image_path}")
        
        # Call the generate.py script with the path to the temporary image
        result_text = call_generate_script(tmp_image_path, prompt_input_str)
        
        return result_text
        
    except Exception as e:
        print(f"ERROR (gradio_interface_fn): Error processing image or calling script: {e}")
        import traceback; traceback.print_exc()
        return f"An error occurred: {str(e)}"
    finally:
        # Clean up the temporary image file
        if 'tmp_image_path' in locals() and os.path.exists(tmp_image_path):
            try:
                os.remove(tmp_image_path)
                print(f"DEBUG (gradio_interface_fn): Temporary image {tmp_image_path} removed.")
            except Exception as e_remove:
                print(f"WARN (gradio_interface_fn): Could not remove temporary image {tmp_image_path}: {e_remove}")


# --- Gradio Interface Definition ---
description_md = """
## nanoVLM-222M Interactive Demo (via generate.py)
Upload an image and type a prompt. This interface calls the `generate.py` script from
`huggingface/nanoVLM` under the hood to perform inference.
"""

print("DEBUG: Defining Gradio interface...")
iface = None
try:
    iface = gr.Interface(
        fn=gradio_interface_fn,
        inputs=[
            gr.Image(type="pil", label="Upload Image"),
            gr.Textbox(label="Your Prompt / Question", info="e.g., 'describe this image in detail'")
        ],
        outputs=gr.Textbox(label="Generated Text", show_copy_button=True),
        title="nanoVLM-222M Demo (via Script)",
        description=description_md,
        allow_flagging="never"
    )
    print("DEBUG: Gradio interface defined successfully.")
except Exception as e:
    print(f"CRITICAL ERROR defining Gradio interface: {e}")
    import traceback; traceback.print_exc()

# --- Launch Gradio App ---
if __name__ == "__main__":
    print("DEBUG: Entered __main__ block for Gradio launch.")
    if not os.path.exists(GENERATE_SCRIPT_PATH):
        print(f"CRITICAL ERROR: The script {GENERATE_SCRIPT_PATH} was not found. Cannot launch app.")
        iface = None # Prevent launch

    if iface is not None:
        print("DEBUG: Attempting to launch Gradio interface...")
        try:
            iface.launch(server_name="0.0.0.0", server_port=7860)
            print("DEBUG: Gradio launch command issued.")
        except Exception as e:
            print(f"CRITICAL ERROR launching Gradio interface: {e}")
            import traceback; traceback.print_exc()
    else:
        print("CRITICAL ERROR: Gradio interface (iface) is None or not defined. Cannot launch.")