Initial sentiment app

app.py

@@ -0,0 +1,115 @@
+import os
+import gradio as gr
+from huggingface_hub import InferenceClient
+from docx import Document
+
+# Hugging Face client
+HF_TOKEN = os.getenv("HUGGINGFACE_API_KEY")
+client = InferenceClient(api_key=HF_TOKEN)
+promt = """
+You are a senior software engineer reviewing .NET / C# code. 
+Give short, clear feedback in bullet points.
+
+**Rules:**
+Review the code and provide actionable points under these 4 areas:
+1. **Code Standards** — Naming, formatting, magic numbers, comments
+2. **Security** — SQL injection, input validation, hardcoded secrets, authentication issues
+3. **Reusability** — Duplicate code, missing helper functions, not using libraries
+4. **Refactoring** — Simplify complex code, performance improvements, better error handling
+
+**Format:**
+- Each suggestion must be a single concise line:  
+  `Line X: Problem — Fix`
+- Always **show both the incorrect and corrected examples** when suggesting naming or syntax improvements.
+- Use **real corrected form** (e.g., `_AuthService` → `_authService`, not the same text again).
+- Keep tone friendly, direct, and professional.
+- Do not repeat identical feedback for multiple lines; combine where possible.
+
+**Example Output:**
+Line 12: Variable `_AuthService` should follow camelCase for private fields — rename to `_authService` same for others.
+Line 35: Missing input validation for `username` — add sanitization before using it in queries.
+Line 72: Duplicate code in `Login` and `Register` — extract shared logic into a helper method.
+Line 90: Complex nested if-else — simplify with early returns.
+"""
+# Allowed file extensions
+ALLOWED_EXTS = [".py", ".js", ".java", ".cs", ".cpp", ".ts"]
+
+def analyze_code_with_ai(code_text: str, filename: str) -> str:
+    """Send code to Hugging Face model for review."""
+    try:
+        completion = client.chat.completions.create(
+            model="meta-llama/Llama-3.1-8B-Instruct",
+            messages=[
+                {"role": "system", "content": f"{promt}"},
+                {"role": "user", "content": f"Review the following code from {filename}:\n\n{code_text}"}
+            ]
+        )
+        return completion.choices[0].message["content"]
+    except Exception as e:
+        return f"⚠️ Error: {str(e)}"
+
+def process_folder(folder_path):
+    """Process all allowed code files in folder + subfolders."""
+    reviews = {}
+    for root, _, files in os.walk(folder_path):
+        for file in files:
+            if any(file.endswith(ext) for ext in ALLOWED_EXTS):
+                filepath = os.path.join(root, file)
+                with open(filepath, "r", encoding="utf-8", errors="ignore") as f:
+                    code = f.read()
+                reviews[file] = analyze_code_with_ai(code, file)
+    return reviews
+
+def process_file(file_path):
+    """Process a single uploaded file."""
+    filename = os.path.basename(file_path)
+    with open(file_path, "r", encoding="utf-8", errors="ignore") as f:
+        code = f.read()
+    return {filename: analyze_code_with_ai(code, filename)}
+
+def generate_report(reviews, output_path="review_report.docx"):
+    """Generate DOCX report."""
+    doc = Document()
+    doc.add_heading("Code Review Report", 0)
+    for fname, review in reviews.items():
+        doc.add_heading(fname, level=1)
+        doc.add_paragraph(review)
+    doc.save(output_path)
+    return output_path
+
+def review_folder(folder_path):
+    reviews = process_folder(folder_path)
+    if not reviews:
+        return "⚠️ No code files found in folder.", None
+    report_path = generate_report(reviews)
+    return "\n\n".join([f"📌 {f}:\n{r}" for f, r in reviews.items()]), report_path
+
+def review_single_file(file_obj):
+    reviews = process_file(file_obj.name)
+    if not reviews:
+        return "⚠️ Could not analyze file.", None
+    report_path = generate_report(reviews)
+    return "\n\n".join([f"📌 {f}:\n{r}" for f, r in reviews.items()]), report_path
+
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 AI Code Reviewer\nUpload a folder or single file to get review points + download DOCX report.")
+
+    with gr.Tab("📂 Review Folder"):
+        folder_input = gr.Textbox(label="Folder Path", placeholder="/path/to/project")
+        folder_btn = gr.Button("Run Review")
+        folder_output = gr.Textbox(label="AI Review Output", lines=15)
+        folder_file = gr.File(label="Download DOCX Report", type="filepath")
+        #folder_file = gr.DownloadButton(label="Download DOCX Report")
+        folder_btn.click(fn=review_folder, inputs=folder_input, outputs=[folder_output, folder_file])
+
+    with gr.Tab("📄 Review Single File"):
+        file_input = gr.File(label="Upload File", file_types=[".py", ".js", ".java", ".cs", ".cpp", ".ts"])
+        file_btn = gr.Button("Run Review")
+        file_output = gr.Textbox(label="AI Review Output", lines=15)
+        file_file = gr.File(label="Download DOCX Report", type="filepath")
+        #file_file = gr.DownloadButton(label="Download DOCX Report")
+        file_btn.click(fn=review_single_file, inputs=file_input, outputs=[file_output, file_file])
+
+demo.launch()

requirements.txt

@@ -0,0 +1,4 @@
+requests 
+python-docx 
+gradio
+huggingface_hub