Delete gradio_interface.py

gradio_interface.py

@@ -1,43 +0,0 @@
-# Import necessary libraries
-import gradio as gr
-import spacy
-
-# Load the trained spaCy model
-model_path = "./my_trained_model"
-nlp = spacy.load(model_path)
-
-# Function to classify text
-def classify_text(text):
-    doc = nlp(text)
-    predicted_labels = doc.cats
-    return predicted_labels
-
-# Function to save results to a file
-def save_to_file(text, predicted_labels):
-    with open("classification_results.txt", "w") as f:
-        f.write("Text: {}\n\n".format(text))
-        for label, score in predicted_labels.items():
-            f.write("{}: {}\n".format(label, score))
-
-# Gradio Interface
-inputs = [
-    gr.inputs.Textbox(lines=7, label="Enter your text"),
-    gr.inputs.File(label="Upload a file")
-]
-
-output = gr.outputs.Textbox(label="Classification Results")
-
-def classify_and_save(input_text, input_file):
-    if input_text:
-        text = input_text
-    elif input_file:
-        # Process the file and extract text
-        with open(input_file.name, "r") as f:
-            text = f.read()
-    
-    predicted_labels = classify_text(text)
-    save_to_file(text, predicted_labels)
-    return predicted_labels
-
-iface = gr.Interface(fn=classify_and_save, inputs=inputs, outputs=output, title="Text Classifier")
-iface.launch(share=True)