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Browse files- README.md +1 -12
- app.py +346 -0
- requirements.txt +136 -0
README.md
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title: Code Review
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emoji: 🦀
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colorFrom: purple
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colorTo: green
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sdk: gradio
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sdk_version: 5.20.0
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# code_review_tool
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app.py
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@@ -0,0 +1,346 @@
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import os
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import gradio as gr
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import psycopg2
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from psycopg2.extras import RealDictCursor
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from dotenv import load_dotenv
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from langtrace_python_sdk.utils.with_root_span import with_langtrace_root_span
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import openai
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from contextlib import contextmanager
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load_dotenv() # Load environment variables
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GPT_4O_MINI = "gpt-4o-mini"
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GPT_4 = "chatgpt-4o-latest"
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O1_MINI = "o1-mini"
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# Global cache for prompts
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cached_prompts = {}
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@contextmanager
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def openai_session():
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"""Context manager to properly handle OpenAI API sessions"""
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try:
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# Initialize client
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client = openai.OpenAI()
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yield client
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finally:
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# Clean up client resources
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if hasattr(client, 'close'):
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client.close()
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@with_langtrace_root_span()
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def call_model(prompt, model):
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print(f"calling {model} with prompt: {prompt[:100]}")
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with openai_session() as client:
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try:
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# Call API
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response = client.chat.completions.create(
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model=model,
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messages=[{"role": "user", "content": prompt}]
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)
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# Extract response text
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result = response.choices[0].message.content
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return result
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except Exception as e:
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return f"Error generating output: {str(e)}"
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def get_db_connection():
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"""Establishes and returns a new database connection."""
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db_params = {
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'dbname': os.getenv('DB_NAME'),
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'user': os.getenv('DB_USER'),
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'password': os.getenv('DB_PASSWORD'),
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'host': os.getenv('DB_HOST'),
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'port': os.getenv('DB_PORT')
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}
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conn = psycopg2.connect(**db_params)
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return conn
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def load_prompts():
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"""Fetches prompts from the DB and caches them as a dict mapping prompt name to a dict with body and id."""
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global cached_prompts
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conn = get_db_connection()
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cursor = conn.cursor(cursor_factory=RealDictCursor)
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cursor.execute("""
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SELECT code_review_prompt_name, code_review_prompt_body, code_review_prompt_id
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FROM code_review_prompt
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ORDER BY code_review_prompt_name;
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""")
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rows = cursor.fetchall()
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# Cache format: { prompt_name: {"body": prompt_body, "id": prompt_id} }
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cached_prompts = { row["code_review_prompt_name"]: {"body": row["code_review_prompt_body"], "id": row["code_review_prompt_id"]} for row in rows }
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cursor.close()
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conn.close()
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return cached_prompts
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# Initially load prompts
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load_prompts()
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def update_prompt_text(selected_prompt):
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"""Uses the global cache to return the prompt body for the selected prompt."""
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return cached_prompts.get(selected_prompt, {}).get("body", "")
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def build_final_prompt(custom_prompt, input_code):
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"""
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Builds the final prompt for code review.
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"""
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return (
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f"Please review the following code:\n\n"
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f"{custom_prompt}\n\n"
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f"<CODE>\n"
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f"{input_code}\n"
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)
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def store_submission(prompt_name, custom_prompt, input_code, review_output):
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"""
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Stores the submission in the database.
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"""
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prompt_data = cached_prompts.get(prompt_name)
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prompt_id = prompt_data["id"] if prompt_data else None
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conn = get_db_connection()
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cursor = conn.cursor()
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cursor.execute("""
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INSERT INTO code_review_submission (code_review_prompt_id, custom_prompt, input_code, ai_review)
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VALUES (%s, %s, %s, %s);
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""", (prompt_id, custom_prompt, input_code, review_output))
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conn.commit()
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cursor.close()
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conn.close()
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def generate_ai_review(prompt_name, custom_prompt, input_code, model):
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"""
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Generates an AI review by calling the API, then stores the submission.
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Uses prompt_name to look up the prompt id.
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"""
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final_prompt = build_final_prompt(custom_prompt, input_code)
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review_output = call_model(final_prompt, model)
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store_submission(prompt_name, custom_prompt, input_code, review_output)
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return review_output
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def call_four(prompt_name, custom_prompt, input_code):
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return generate_ai_review(prompt_name, custom_prompt, input_code, GPT_4)
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def call_o1(prompt_name, custom_prompt, input_code):
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return generate_ai_review(prompt_name, custom_prompt, input_code, O1_MINI)
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def call_four_mini(prompt_name, custom_prompt, input_code):
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return generate_ai_review(prompt_name, custom_prompt, input_code, GPT_4O_MINI)
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def add_new_prompt(prompt_name, prompt_body):
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"""Inserts a new prompt into the database, reloads the cache, and returns updated dropdown choices."""
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if not prompt_name.strip() or not prompt_body.strip():
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return "Error: Prompt Name and Body cannot be empty!", None, None
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conn = None
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try:
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conn = get_db_connection()
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cursor = conn.cursor(cursor_factory=RealDictCursor)
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cursor.execute("""
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INSERT INTO code_review_prompt (code_review_prompt_name, code_review_prompt_body)
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VALUES (%s, %s)
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ON CONFLICT (code_review_prompt_name) DO NOTHING
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RETURNING code_review_prompt_id;
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""", (prompt_name.strip(), prompt_body.strip()))
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inserted = cursor.fetchone()
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if inserted:
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conn.commit()
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message = f"Prompt '{prompt_name}' added successfully!"
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else:
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message = f"Prompt '{prompt_name}' already exists!"
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cursor.close()
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conn.close()
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# Reload the prompt cache after insertion
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load_prompts()
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new_choices = list(cached_prompts.keys())
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new_dropdown = gr.Dropdown(choices=new_choices, label="Select Review Type", value=new_choices[0] if new_choices else None)
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return message, new_dropdown, ""
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except psycopg2.IntegrityError:
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conn.rollback()
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return "Prompt already exists!", None, ""
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except Exception as e:
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if conn:
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conn.rollback()
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return f"Error: {str(e)}", None, ""
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finally:
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if conn:
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conn.close()
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def reload_prompts():
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"""Reloads the prompt cache and returns a new Dropdown with updated choices."""
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load_prompts()
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new_choices = list(cached_prompts.keys())
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new_dropdown = gr.Dropdown(choices=new_choices, label="Select Review Type", value=new_choices[0] if new_choices else None)
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return new_dropdown
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# ---------------------- New Code for Loading Previous Submissions ---------------------- #
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def load_submissions_from_db():
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"""Fetch all submissions ordered by their id in ascending order."""
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conn = get_db_connection()
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cursor = conn.cursor(cursor_factory=RealDictCursor)
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cursor.execute("""
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SELECT code_review_submission_id, code_review_prompt_id, custom_prompt, input_code, ai_review
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FROM code_review_submission
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ORDER BY created_at DESC; """)
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submissions = cursor.fetchall()
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cursor.close()
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conn.close()
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return submissions
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def show_submission(index, submissions):
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"""Returns formatted outputs for the submission at the given index:
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- Submission details (Markdown)
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- Input code (for gr.Code)
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- AI review output (Markdown)
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"""
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if not submissions:
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return "No submissions available", "", "No submissions available", index
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# Clamp index within bounds
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index = max(0, min(index, len(submissions) - 1))
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submission = submissions[index]
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# Left panel Markdown for submission details
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submission_details = (
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f"**Submission ID:** {submission['code_review_submission_id']}\n\n"
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f"**Prompt ID:** {submission['code_review_prompt_id']}\n\n"
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f"**Custom Prompt:**\n{submission['custom_prompt']}\n\n"
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)
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# Input code for gr.Code
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input_code = submission['input_code']
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# Right panel Markdown for AI review output
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| 211 |
+
ai_review_output = f"**AI Review Output:**\n{submission['ai_review']}\n"
|
| 212 |
+
return submission_details, input_code, ai_review_output, index
|
| 213 |
+
|
| 214 |
+
|
| 215 |
+
def load_submissions():
|
| 216 |
+
"""Loads submissions from the database and resets the index."""
|
| 217 |
+
submissions = load_submissions_from_db()
|
| 218 |
+
index = 0
|
| 219 |
+
details, code, review, index = show_submission(index, submissions)
|
| 220 |
+
return submissions, index, details, code, review
|
| 221 |
+
|
| 222 |
+
def next_submission(current_index, submissions):
|
| 223 |
+
"""Increment the index and display the next submission."""
|
| 224 |
+
if submissions and current_index < len(submissions) - 1:
|
| 225 |
+
current_index += 1
|
| 226 |
+
details, code, review, current_index = show_submission(current_index, submissions)
|
| 227 |
+
return current_index, details, code, review
|
| 228 |
+
|
| 229 |
+
def previous_submission(current_index, submissions):
|
| 230 |
+
"""Decrement the index and display the previous submission."""
|
| 231 |
+
if submissions and current_index > 0:
|
| 232 |
+
current_index -= 1
|
| 233 |
+
details, code, review, current_index = show_submission(current_index, submissions)
|
| 234 |
+
return current_index, details, code, review
|
| 235 |
+
|
| 236 |
+
# ----------------------------------------------------------------------------------------- #
|
| 237 |
+
|
| 238 |
+
# Gradio UI
|
| 239 |
+
with gr.Blocks() as demo:
|
| 240 |
+
gr.Markdown("# Code Review Assistant")
|
| 241 |
+
|
| 242 |
+
with gr.Tab("Code Review"):
|
| 243 |
+
with gr.Row():
|
| 244 |
+
with gr.Column(scale=1):
|
| 245 |
+
prompt_dropdown = gr.Dropdown(
|
| 246 |
+
choices=list(cached_prompts.keys()),
|
| 247 |
+
label="Select Review Type",
|
| 248 |
+
value=list(cached_prompts.keys())[0] if cached_prompts else None
|
| 249 |
+
)
|
| 250 |
+
with gr.Accordion("Selected Prompt", open=False):
|
| 251 |
+
prompt_textbox = gr.Textbox(label="", lines=15, interactive=True)
|
| 252 |
+
with gr.Row():
|
| 253 |
+
generate_4o_btn = gr.Button("Generate Code Review 4o")
|
| 254 |
+
generate_4omini_btn = gr.Button("Generate Code Review 4o-mini")
|
| 255 |
+
generate_o1_btn = gr.Button("Generate Code Review o1-mini")
|
| 256 |
+
with gr.Row():
|
| 257 |
+
input_code = gr.Code(language="python", label="Input Code", lines=15, interactive=True)
|
| 258 |
+
output_review = gr.Markdown(label="AI Review Output", container=True, show_copy_button=True)
|
| 259 |
+
|
| 260 |
+
with gr.Tab("Manage Prompts"):
|
| 261 |
+
with gr.Row():
|
| 262 |
+
new_prompt_name = gr.Textbox(label="New Prompt Name", placeholder="Enter a prompt name")
|
| 263 |
+
new_prompt_body = gr.Textbox(label="New Prompt Body", lines=3, placeholder="Enter the prompt details")
|
| 264 |
+
add_prompt_btn = gr.Button("Add Prompt")
|
| 265 |
+
reload_prompt_btn = gr.Button("Reload Prompts")
|
| 266 |
+
prompt_status = gr.Textbox(label="Status", interactive=False)
|
| 267 |
+
|
| 268 |
+
with gr.Tab("Submissions"):
|
| 269 |
+
with gr.Row():
|
| 270 |
+
load_submissions_btn = gr.Button("Load Submissions")
|
| 271 |
+
# Hidden states to store submissions and the current index
|
| 272 |
+
submissions_state = gr.State([])
|
| 273 |
+
submission_index_state = gr.State(0)
|
| 274 |
+
# Create two columns: left column for details and code, right column for AI review output
|
| 275 |
+
with gr.Row():
|
| 276 |
+
back_btn = gr.Button("Back")
|
| 277 |
+
next_btn = gr.Button("Next")
|
| 278 |
+
with gr.Row():
|
| 279 |
+
with gr.Column():
|
| 280 |
+
with gr.Accordion("Prompt Details", open= False):
|
| 281 |
+
submission_details_md = gr.Markdown(label="Submission Details")
|
| 282 |
+
input_code_component = gr.Code(label="Input Code", language="python")
|
| 283 |
+
with gr.Column():
|
| 284 |
+
ai_review_md = gr.Markdown(label="AI Review Output", container=True, show_copy_button=True)
|
| 285 |
+
|
| 286 |
+
# Load submissions from DB and initialize state
|
| 287 |
+
load_submissions_btn.click(
|
| 288 |
+
fn=load_submissions,
|
| 289 |
+
inputs=[],
|
| 290 |
+
outputs=[submissions_state, submission_index_state, submission_details_md, input_code_component, ai_review_md]
|
| 291 |
+
)
|
| 292 |
+
# Go to previous submission
|
| 293 |
+
back_btn.click(
|
| 294 |
+
fn=previous_submission,
|
| 295 |
+
inputs=[submission_index_state, submissions_state],
|
| 296 |
+
outputs=[submission_index_state, submission_details_md, input_code_component, ai_review_md]
|
| 297 |
+
)
|
| 298 |
+
# Go to next submission
|
| 299 |
+
next_btn.click(
|
| 300 |
+
fn=next_submission,
|
| 301 |
+
inputs=[submission_index_state, submissions_state],
|
| 302 |
+
outputs=[submission_index_state, submission_details_md, input_code_component, ai_review_md]
|
| 303 |
+
)
|
| 304 |
+
|
| 305 |
+
|
| 306 |
+
|
| 307 |
+
# When dropdown changes, update the prompt text
|
| 308 |
+
prompt_dropdown.change(
|
| 309 |
+
fn=update_prompt_text,
|
| 310 |
+
inputs=[prompt_dropdown],
|
| 311 |
+
outputs=[prompt_textbox]
|
| 312 |
+
)
|
| 313 |
+
|
| 314 |
+
# On code review generation, pass both the dropdown (prompt name) and the editable prompt text
|
| 315 |
+
generate_4o_btn.click(
|
| 316 |
+
fn=call_four,
|
| 317 |
+
inputs=[prompt_dropdown, prompt_textbox, input_code],
|
| 318 |
+
outputs=[output_review]
|
| 319 |
+
)
|
| 320 |
+
generate_4omini_btn.click(
|
| 321 |
+
fn=call_four_mini,
|
| 322 |
+
inputs=[prompt_dropdown, prompt_textbox, input_code],
|
| 323 |
+
outputs=[output_review]
|
| 324 |
+
)
|
| 325 |
+
generate_o1_btn.click(
|
| 326 |
+
fn=call_o1,
|
| 327 |
+
inputs=[prompt_dropdown, prompt_textbox, input_code],
|
| 328 |
+
outputs=[output_review]
|
| 329 |
+
)
|
| 330 |
+
|
| 331 |
+
# On adding a new prompt, update status, replace dropdown with a new one, and clear new prompt body textbox.
|
| 332 |
+
add_prompt_btn.click(
|
| 333 |
+
fn=add_new_prompt,
|
| 334 |
+
inputs=[new_prompt_name, new_prompt_body],
|
| 335 |
+
outputs=[prompt_status, prompt_dropdown, new_prompt_body]
|
| 336 |
+
)
|
| 337 |
+
|
| 338 |
+
# Reload prompts when the reload button is clicked.
|
| 339 |
+
reload_prompt_btn.click(
|
| 340 |
+
fn=reload_prompts,
|
| 341 |
+
inputs=[],
|
| 342 |
+
outputs=[prompt_dropdown]
|
| 343 |
+
)
|
| 344 |
+
|
| 345 |
+
|
| 346 |
+
demo.launch()
|
requirements.txt
ADDED
|
@@ -0,0 +1,136 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
gradio==5.12.0
|
| 2 |
+
gradio_client==1.5.4
|
| 3 |
+
huggingface-hub==0.27.1
|
| 4 |
+
hyperframe==6.0.1
|
| 5 |
+
openai==1.59.6
|
| 6 |
+
psycopg2-binary==2.9.10
|
| 7 |
+
pyasn1==0.6.1
|
| 8 |
+
pyasn1_modules==0.4.1
|
| 9 |
+
pydantic==2.10.5
|
| 10 |
+
pydantic_core==2.27.2
|
| 11 |
+
pydub==0.25.1
|
| 12 |
+
Pygments==2.19.1
|
| 13 |
+
pypandoc==1.15
|
| 14 |
+
pyparsing==3.2.1
|
| 15 |
+
python-dateutil==2.9.0.post0
|
| 16 |
+
python-docx==1.1.2
|
| 17 |
+
python-dotenv==1.0.1
|
| 18 |
+
python-multipart==0.0.20
|
| 19 |
+
pytz==2024.2
|
| 20 |
+
PyYAML==6.0.2
|
| 21 |
+
supabase==2.11.0
|
| 22 |
+
supafunc==0.9.0
|
| 23 |
+
aiofiles==23.2.1
|
| 24 |
+
aiohappyeyeballs==2.5.0
|
| 25 |
+
aiohttp==3.11.13
|
| 26 |
+
aiosignal==1.3.2
|
| 27 |
+
annotated-types==0.7.0
|
| 28 |
+
anyio==4.8.0
|
| 29 |
+
attrs==25.1.0
|
| 30 |
+
boto3==1.37.7
|
| 31 |
+
botocore==1.37.7
|
| 32 |
+
certifi==2025.1.31
|
| 33 |
+
charset-normalizer==3.4.1
|
| 34 |
+
click==8.1.8
|
| 35 |
+
colorama==0.4.6
|
| 36 |
+
Deprecated==1.2.18
|
| 37 |
+
deprecation==2.1.0
|
| 38 |
+
distro==1.9.0
|
| 39 |
+
fastapi==0.115.11
|
| 40 |
+
ffmpy==0.5.0
|
| 41 |
+
filelock==3.17.0
|
| 42 |
+
frozenlist==1.5.0
|
| 43 |
+
fsspec==2025.2.0
|
| 44 |
+
googleapis-common-protos==1.69.0
|
| 45 |
+
gotrue==2.11.4
|
| 46 |
+
gradio==5.12.0
|
| 47 |
+
gradio_client==1.5.4
|
| 48 |
+
groovy==0.1.2
|
| 49 |
+
grpcio==1.70.0
|
| 50 |
+
h11==0.14.0
|
| 51 |
+
h2==4.1.0
|
| 52 |
+
hpack==4.1.0
|
| 53 |
+
httpcore==1.0.7
|
| 54 |
+
httpx==0.27.2
|
| 55 |
+
huggingface-hub==0.27.1
|
| 56 |
+
hyperframe==6.0.1
|
| 57 |
+
idna==3.10
|
| 58 |
+
importlib_metadata==8.5.0
|
| 59 |
+
Jinja2==3.1.6
|
| 60 |
+
jiter==0.8.2
|
| 61 |
+
jmespath==1.0.1
|
| 62 |
+
langtrace-python-sdk==3.8.1
|
| 63 |
+
lxml==5.3.1
|
| 64 |
+
markdown-it-py==3.0.0
|
| 65 |
+
MarkupSafe==2.1.5
|
| 66 |
+
mdurl==0.1.2
|
| 67 |
+
multidict==6.1.0
|
| 68 |
+
numpy==2.2.3
|
| 69 |
+
openai==1.59.6
|
| 70 |
+
opentelemetry-api==1.30.0
|
| 71 |
+
opentelemetry-exporter-otlp-proto-common==1.30.0
|
| 72 |
+
opentelemetry-exporter-otlp-proto-grpc==1.30.0
|
| 73 |
+
opentelemetry-exporter-otlp-proto-http==1.30.0
|
| 74 |
+
opentelemetry-instrumentation==0.51b0
|
| 75 |
+
opentelemetry-instrumentation-sqlalchemy==0.51b0
|
| 76 |
+
opentelemetry-proto==1.30.0
|
| 77 |
+
opentelemetry-sdk==1.30.0
|
| 78 |
+
opentelemetry-semantic-conventions==0.51b0
|
| 79 |
+
orjson==3.10.15
|
| 80 |
+
packaging==24.2
|
| 81 |
+
pandas==2.2.3
|
| 82 |
+
pillow==11.1.0
|
| 83 |
+
postgrest==0.19.3
|
| 84 |
+
propcache==0.3.0
|
| 85 |
+
protobuf==5.29.3
|
| 86 |
+
psycopg2==2.9.10
|
| 87 |
+
psycopg2-binary==2.9.10
|
| 88 |
+
pyasn1==0.6.1
|
| 89 |
+
pyasn1_modules==0.4.1
|
| 90 |
+
pydantic==2.10.5
|
| 91 |
+
pydantic_core==2.27.2
|
| 92 |
+
pydub==0.25.1
|
| 93 |
+
Pygments==2.19.1
|
| 94 |
+
pypandoc==1.15
|
| 95 |
+
pyparsing==3.2.1
|
| 96 |
+
python-dateutil==2.9.0.post0
|
| 97 |
+
python-docx==1.1.2
|
| 98 |
+
python-dotenv==1.0.1
|
| 99 |
+
python-multipart==0.0.20
|
| 100 |
+
pytz==2024.2
|
| 101 |
+
PyYAML==6.0.2
|
| 102 |
+
realtime==2.4.1
|
| 103 |
+
regex==2024.11.6
|
| 104 |
+
requests==2.32.3
|
| 105 |
+
rich==13.9.4
|
| 106 |
+
ruff==0.9.9
|
| 107 |
+
s3transfer==0.11.4
|
| 108 |
+
safehttpx==0.1.6
|
| 109 |
+
safetensors==0.5.3
|
| 110 |
+
semantic-version==2.10.0
|
| 111 |
+
sentry-sdk==2.22.0
|
| 112 |
+
shellingham==1.5.4
|
| 113 |
+
six==1.17.0
|
| 114 |
+
sniffio==1.3.1
|
| 115 |
+
SQLAlchemy==2.0.38
|
| 116 |
+
starlette==0.46.0
|
| 117 |
+
storage3==0.11.3
|
| 118 |
+
StrEnum==0.4.15
|
| 119 |
+
supabase==2.11.0
|
| 120 |
+
supafunc==0.9.0
|
| 121 |
+
tiktoken==0.9.0
|
| 122 |
+
tokenizers==0.21.0
|
| 123 |
+
tomlkit==0.13.2
|
| 124 |
+
tqdm==4.67.1
|
| 125 |
+
trace-attributes==7.2.0
|
| 126 |
+
transformers==4.49.0
|
| 127 |
+
typer==0.15.2
|
| 128 |
+
typing_extensions==4.12.2
|
| 129 |
+
tzdata==2025.1
|
| 130 |
+
ujson==5.10.0
|
| 131 |
+
urllib3==2.3.0
|
| 132 |
+
uvicorn==0.34.0
|
| 133 |
+
websockets==14.2
|
| 134 |
+
wrapt==1.17.2
|
| 135 |
+
yarl==1.18.3
|
| 136 |
+
zipp==3.21.0
|