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app.py

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+# -*- coding: utf-8 -*-
+"""app.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1EyjV73NmmvRi7U_r_GxUjz4X-5-6yMgE
+"""
+
+# load_and_run_pkl_model.py
+# This script ONLY loads a pre-saved PKL file and runs a Gradio interface for it.
+
+import gradio as gr
+import pickle
+import os
+
+# --- Dependencies required ONLY for the class definition used by pickle ---
+# We are NOT calling pipeline() here to load models from Hugging Face.
+# Pickle just needs to know the *structure* of the saved object.
+from transformers import pipeline
+import torch
+
+# --- Define the Class Structure ---
+# IMPORTANT: This MUST exactly match the class definition used when
+# the .pkl file was SAVED. Pickle needs this to reconstruct the object.
+
+# --- Configuration: Path to your saved PKL file ---
+PICKLE_FILENAME = "combined_analyzer.pkl"
+MODEL_DIR = "saved_model" # Directory where the PKL file is located
+PICKLE_FILEPATH = os.path.join(MODEL_DIR, PICKLE_FILENAME)
+
+# --- Global Variable to hold the loaded analyzer ---
+LOADED_ANALYZER = None
+LOAD_ERROR_MESSAGE = None
+
+# --- Load the Saved Model from PKL File ---
+print("-" * 40)
+print(f"Attempting to load analyzer object from: {PICKLE_FILEPATH}")
+try:
+    # Security Note: Only unpickle files you trust.
+    if not os.path.exists(PICKLE_FILEPATH):
+         raise FileNotFoundError(f"Cannot find the model file at '{PICKLE_FILEPATH}'. Make sure it exists.")
+
+    with open(PICKLE_FILEPATH, 'rb') as f:
+        # The actual loading happens here
+        LOADED_ANALYZER = pickle.load(f)
+
+    # Validate the loaded object (basic check)
+    if not isinstance(LOADED_ANALYZER, CombinedAnalyzer) or not callable(getattr(LOADED_ANALYZER, 'analyze', None)):
+        LOADED_ANALYZER = None # Invalidate if it's not the right type or lacks the method
+        raise TypeError("The loaded object from the PKL file is not a valid 'CombinedAnalyzer' instance or is corrupted.")
+    else:
+        print(">>> Successfully loaded analyzer object from PKL file.")
+
+except Exception as e:
+    LOAD_ERROR_MESSAGE = f"ERROR: Failed to load model from '{PICKLE_FILEPATH}'.\nDetails: {e}"
+    print(LOAD_ERROR_MESSAGE)
+    LOADED_ANALYZER = None # Ensure it's None if any error occurred
+
+print("-" * 40)
+
+# --- Gradio Function (Uses the globally loaded object) ---
+def perform_analysis(input_text):
+    """This function is called by the Gradio interface."""
+    if LOADED_ANALYZER is None:
+        # If loading failed earlier, return the error message
+        return LOAD_ERROR_MESSAGE or "Error: Analyzer model is not loaded."
+
+    if not input_text or not input_text.strip():
+        return "Please enter some text to analyze."
+
+    # Use the 'analyze' method of the object loaded from the PKL file
+    try:
+        results = LOADED_ANALYZER.analyze(input_text)
+        return results
+    except Exception as e:
+        # Catch errors during the analysis itself
+        print(f"Error during analysis execution: {e}")
+        return f"An error occurred during analysis:\n{e}"
+
+# --- Create the Gradio Interface ---
+gradio_app_description = f"Enter text to analyze using the model loaded from `{PICKLE_FILEPATH}`."
+if LOADED_ANALYZER is None:
+    gradio_app_description += "\n\n**WARNING: Model failed to load. Analysis will not function.**"
+
+interface = gr.Interface(
+    fn=perform_analysis, # The function that runs the analysis
+    inputs=gr.Textbox(lines=8, placeholder="Enter text here...", label="Input Text"),
+    outputs=gr.Textbox(lines=8, label="Analysis Results", interactive=False),
+    title="Analyze Text with Saved Model",
+    description=gradio_app_description,
+    allow_flagging='never'
+)
+
+# --- Launch the Gradio App ---
+if __name__ == "__main__":
+    print("Launching Gradio interface...")
+    if LOADED_ANALYZER is None:
+        print("!!! Warning: Launching interface, but model loading failed. Check errors above. !!!")
+    interface.launch()

combined_analyzer.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8e4dd11e04e895a5d1847965f97a25ad79fde1624a1ffe8d5d45c25b07afaaaa
+size 768588802

requirements.txt

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+transformers
+torch
+gradio
+sentencepiece