Upload 2 files

app.py

@@ -2,6 +2,8 @@ import os
 import logging
 import sys
 import argparse
+from dotenv import load_dotenv
+load_dotenv()
 from fastapi import FastAPI, File, Form, UploadFile, HTTPException, BackgroundTasks
 from fastapi.responses import JSONResponse, FileResponse
 from fastapi.staticfiles import StaticFiles
@@ -72,24 +74,24 @@ def check_grammar_quiz(
     output_path = os.path.join(temp_dir, output_filename)
 
     # Save uploaded file
-    try:
-        with open(input_path, "wb") as buffer:
-            shutil.copyfileobj(file.file, buffer)
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Error saving file: {str(e)}")
+    # try:
+    with open(input_path, "wb") as buffer:
+        shutil.copyfileobj(file.file, buffer)
+    # except Exception as e:
+    #     raise HTTPException(status_code=500, detail=f"Error saving file: {str(e)}")
 
     # Process the file
-    try:
-        result_file, processed_records = process_grammar_check(input_path, output_path, limit)
-        background_tasks.add_task(cleanup_temp_files, temp_dir)
-        return GrammarCheckResponse(
-            output_file=result_file, 
-            message="Grammar check completed successfully",
-            records=processed_records
-        )
-    except Exception as e:
-        background_tasks.add_task(cleanup_temp_files, temp_dir)
-        raise HTTPException(status_code=500, detail=f"Error processing file: {str(e)}")
+    # try:
+    result_file, processed_records = process_grammar_check(input_path, output_path, limit)
+    background_tasks.add_task(cleanup_temp_files, temp_dir)
+    return GrammarCheckResponse(
+        output_file=result_file, 
+        message="Grammar check completed successfully",
+        records=processed_records
+    )
+    # except Exception as e:
+    #     background_tasks.add_task(cleanup_temp_files, temp_dir)
+    #     raise HTTPException(status_code=500, detail=f"Error processing file: {str(e)}")
 
 
 def cleanup_temp_files(temp_dir: str):

grammar_checker.py

@@ -26,7 +26,6 @@ llm = AzureChatOpenAI(
     azure_endpoint=AZURE_OPENAI_ENDPOINT,
     azure_deployment=AZURE_OPENAI_DEPLOYMENT_NAME,
     api_version=AZURE_OPENAI_API_VERSION,
-    model="gpt-4o",
 )
 # Constants for text splitting
 CHUNK_SIZE = 1000  # Approximate characters per page