Create app.py

app.py

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+import torch
+from fastapi.middleware.cors import CORSMiddleware
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+from happytransformer import HappyTextToText, TTSettings
+import gradio as gr
+
+# Load models
+happy_tt = HappyTextToText("T5", "prithivida/grammar_error_correcter_v1")
+
+def correct_grammar(text):
+    args = TTSettings(num_beams=5, min_length=1)
+    correction = happy_tt.generate_text("gec: " + text, args=args).text
+    grammar_score = 100 - abs(len(text) - len(correction))  # Simplified scoring
+    return correction, grammar_score
+
+# Gradio interface
+def process_input(text):
+    return correct_grammar(text)
+
+# Add CORS support
+app = gr.Interface(
+    fn=process_input,
+    inputs=gr.Textbox(placeholder="Enter text here...", label="Input Text"),
+    outputs=[
+        gr.Textbox(label="Corrected Text"),
+        gr.Number(label="Grammar Score")
+    ],
+    title="Grammar Checker API",
+    allow_flagging="never"
+)
+
+app.app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+if __name__ == "__main__":
+    app.launch()