this fixes the requirements.txt

app.py

@@ -1,5 +1,3 @@
-# main_grader.py
-
 import gradio as gr
 import docx
 import asyncio
@@ -12,9 +10,6 @@ import os
 from pathlib import Path
 import time
 
-# --- Configuration and Prompts ---
-
-# This rubric is embedded in the prompt sent to the Gemini API.
 GRADING_RUBRIC = """
 ### NURSING ESSAY GRADING RUBRIC
 
@@ -39,8 +34,6 @@ GRADING_RUBRIC = """
     * **Professional Tone:** Maintains a scholarly and professional tone appropriate for nursing. (5 points)
 """
 
-# The main prompt for the Gemini API.
-# It instructs the AI on its role, the rubric, and the required JSON output format.
 GEMINI_PROMPT = f"""
 You are an expert-level college university grader for a nursing department. Your task is to evaluate a short health science essay based on a strict rubric and provide your feedback in a structured JSON format.
 
@@ -85,8 +78,6 @@ You are an expert-level college university grader for a nursing department. Your
 """
 
 
-# --- Data Structures ---
-
 @dataclass
 class GradingResult:
     """Holds the structured result of a single graded essay."""
@@ -111,11 +102,13 @@ class EssayParser:
             return "\n".join([para.text for para in doc.paragraphs if para.text])
         except Exception as e:
             # Handles cases where the file is corrupted or not a valid docx
-            raise IOError(f"Could not read file: {os.path.basename(file_path)}. Error: {e}")
+            raise IOError(
+                f"Could not read file: {os.path.basename(file_path)}. Error: {e}")
 
 
 class GeminiGrader:
     """Manages interaction with the Google Gemini API for grading."""
+
     def __init__(self, api_key: str):
         """Initializes the Gemini model."""
         try:
@@ -130,8 +123,10 @@ class GeminiGrader:
             safety_settings = [
                 {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
                 {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
-                {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
-                {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
+                {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+                    "threshold": "BLOCK_NONE"},
+                {"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+                    "threshold": "BLOCK_NONE"},
             ]
             self.model = genai.GenerativeModel(
                 model_name="gemini-1.5-pro-latest",
@@ -152,11 +147,13 @@ class GeminiGrader:
             # Clean the response to ensure it's valid JSON
             cleaned_response = response.text.strip().replace("```json", "").replace("```", "")
             data = json.loads(cleaned_response)
-            
+
             # Validate the structure of the returned JSON
-            required_keys = ["finalGrade", "pointDeductions", "feedback", "summary"]
+            required_keys = ["finalGrade",
+                             "pointDeductions", "feedback", "summary"]
             if not all(key in data for key in required_keys):
-                raise KeyError("The model's response was missing one or more required keys.")
+                raise KeyError(
+                    "The model's response was missing one or more required keys.")
 
             return GradingResult(
                 file_name=file_name,
@@ -190,7 +187,7 @@ async def grade_papers_concurrently(
     It's triggered by the Gradio button click.
     """
     start_time = time.time()
-    
+
     if not api_key:
         raise gr.Error("Google API Key is required.")
     if not files:
@@ -203,7 +200,7 @@ async def grade_papers_concurrently(
 
     file_paths = [file.name for file in files]
     total_files = len(file_paths)
-    
+
     # Use a ThreadPoolExecutor to run synchronous tasks concurrently
     with ThreadPoolExecutor(max_workers=10) as executor:
         # Create a future for each file processing task
@@ -228,12 +225,12 @@ async def grade_papers_concurrently(
     # --- Format the final output ---
     successful_grades = [res for res in results if res.success]
     failed_grades = [res for res in results if not res.success]
-    
+
     output_markdown = ""
     for result in successful_grades:
         output_markdown += f"### ✅ Grade for: **{result.file_name}**\n"
         output_markdown += f"**Final Grade:** {result.grade}/100\n\n"
-        
+
         # Format point deductions
         deductions_str = ""
         for category, points in result.deductions.items():
@@ -241,7 +238,7 @@ async def grade_papers_concurrently(
                 deductions_str += f"- **{category}:** Lost {points} points. *Reason: {result.feedback.get(category, 'N/A')}*\n"
         if not deductions_str:
             deductions_str = "Excellent work! No points were deducted.\n"
-        
+
         output_markdown += "**Point Deductions Breakdown:**\n" + deductions_str + "\n"
         output_markdown += f"**Summary:** {result.summary}\n"
         output_markdown += "---\n"
@@ -252,15 +249,15 @@ async def grade_papers_concurrently(
             output_markdown += f"- **File:** {result.file_name}\n"
             output_markdown += f"  - **Error:** {result.error_message}\n"
         output_markdown += "---\n"
-    
+
     end_time = time.time()
     runtime = f"Total runtime: {end_time - start_time:.2f} seconds."
-    
+
     status = (
         f"Grading complete. {len(successful_grades)} papers graded successfully, "
         f"{len(failed_grades)} failed."
     )
-    
+
     return output_markdown, f"{status}\n{runtime}"
 
 
@@ -303,27 +300,27 @@ with gr.Blocks(theme=gr.themes.Soft(), title="Nursing Essay Grader") as demo:
             type="password",
             scale=1
         )
-    
+
     file_uploads = gr.File(
         label="Upload Word Document Essays",
         file_count="multiple",
         file_types=[".docx"],
-        type="filepath" # Use filepath for easier handling
+        type="filepath"  # Use filepath for easier handling
     )
-    
+
     grade_button = gr.Button("🚀 Grade All Papers", variant="primary")
-    
+
     gr.Markdown("---")
     gr.Markdown("## 📊 Grading Results")
 
     results_output = gr.Markdown(label="Formatted Grades")
-    
+
     status_output = gr.Textbox(
         label="Runtime Status",
         lines=2,
         interactive=False
     )
-    
+
     grade_button.click(
         fn=grade_papers_concurrently,
         inputs=[file_uploads, api_key_input],

requirements.txt

@@ -2,5 +2,3 @@ gradio
 google-generativeai==0.5.*
 python-docx
 asyncio
-json
-