Spaces:
Sleeping
Sleeping
New main files uploaded test-1
Browse files- app.py +277 -0
- requirements.txt +102 -0
app.py
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| 1 |
+
import os
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| 2 |
+
import gradio as gr
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| 3 |
+
import logging
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| 4 |
+
from git import Repo
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| 5 |
+
from dotenv import load_dotenv
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| 6 |
+
from sentence_transformers import SentenceTransformer
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| 7 |
+
from langchain_pinecone import PineconeVectorStore
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| 8 |
+
from langchain.schema import Document
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+
from tree_sitter_languages import get_parser
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| 10 |
+
from pinecone import Pinecone
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| 11 |
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import openai
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+
import numpy as np
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+
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+
# Load environment variables
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| 15 |
+
load_dotenv()
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| 16 |
+
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| 17 |
+
# Logging Configuration
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| 18 |
+
logging.basicConfig(level=logging.DEBUG, format="%(asctime)s - %(levelname)s - %(message)s")
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| 19 |
+
logger = logging.getLogger(__name__)
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| 20 |
+
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| 21 |
+
# Environment Variables
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| 22 |
+
CLONE_DIR = "./cloned_repos"
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| 23 |
+
PINECONE_API_KEY = os.getenv("PINECONE_API_KEY")
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| 24 |
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PINECONE_INDEX_KEY = "codebase-app"
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| 25 |
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GROQ_API_KEY = os.getenv("GROQ_API_KEY")
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| 27 |
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# Initialize GROQ API
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| 28 |
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client = openai.OpenAI(
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| 29 |
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base_url="https://api.groq.com/openai/v1",
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| 30 |
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api_key=GROQ_API_KEY
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| 31 |
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)
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# Initialize Pinecone
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| 34 |
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pinecone_client = Pinecone(api_key=PINECONE_API_KEY)
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| 35 |
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pinecone_index = pinecone_client.Index(PINECONE_INDEX_KEY)
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| 36 |
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| 37 |
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# Initialize SentenceTransformer Embedding Model
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| 38 |
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embedding_model = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
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| 39 |
+
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| 40 |
+
# Supported Extensions
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| 41 |
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SUPPORTED_EXTENSIONS = {".py", ".java", ".js", ".ts", ".cpp", ".h", ".ipynb"}
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| 42 |
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IGNORED_DIRS = {"node_modules", "venv", "env", ".git", "__pycache__"}
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| 43 |
+
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| 44 |
+
# Backend Logic: Clone Repository
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| 45 |
+
def clone_repository(repo_url: str) -> str:
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| 46 |
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"""Clone the GitHub repository locally."""
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| 47 |
+
repo_name = repo_url.split("/")[-1].replace(".git", "")
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| 48 |
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repo_path = os.path.join(CLONE_DIR, repo_name)
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| 49 |
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if not os.path.exists(CLONE_DIR):
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| 50 |
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os.makedirs(CLONE_DIR)
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| 51 |
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if os.path.exists(repo_path):
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| 52 |
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logger.info(f"Repository already exists: {repo_path}")
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| 53 |
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return repo_path
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| 54 |
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Repo.clone_from(repo_url, repo_path)
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| 55 |
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logger.info(f"Cloned repository to: {repo_path}")
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| 56 |
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return repo_path
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| 57 |
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| 58 |
+
# Backend Logic: Parse Repository
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| 59 |
+
class SimpleTreeSitterParser:
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| 60 |
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"""Parser for extracting code chunks from files."""
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| 61 |
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def __init__(self, language: str):
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| 62 |
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self.language = language
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| 63 |
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try:
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| 64 |
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self.parser = get_parser(language) # Ensure only the required argument is passed
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| 65 |
+
except Exception as e:
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| 66 |
+
logger.error(f"Error initializing parser for {language}: {e}")
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| 67 |
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raise ValueError(f"Parser error for {language}: {e}")
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| 68 |
+
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| 69 |
+
def parse(self, code: str) -> list:
|
| 70 |
+
try:
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| 71 |
+
tree = self.parser.parse(bytes(code, "utf-8"))
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| 72 |
+
root = tree.root_node
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| 73 |
+
chunks = []
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| 74 |
+
for child in root.children:
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| 75 |
+
chunks.append({
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| 76 |
+
"type": child.type,
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| 77 |
+
"content": code[child.start_byte:child.end_byte],
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| 78 |
+
"start_line": child.start_point[0] + 1,
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| 79 |
+
"end_line": child.end_point[0] + 1,
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| 80 |
+
})
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| 81 |
+
return chunks
|
| 82 |
+
except Exception as e:
|
| 83 |
+
logger.error(f"Error parsing code: {e}")
|
| 84 |
+
return []
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| 85 |
+
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| 86 |
+
def parse_repository(repo_path: str) -> list:
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| 87 |
+
"""Parse repository files into meaningful chunks."""
|
| 88 |
+
chunks = []
|
| 89 |
+
for root, _, files in os.walk(repo_path):
|
| 90 |
+
if any(ignored_dir in root for ignored_dir in IGNORED_DIRS):
|
| 91 |
+
continue
|
| 92 |
+
for file in files:
|
| 93 |
+
ext = os.path.splitext(file)[1]
|
| 94 |
+
if ext not in SUPPORTED_EXTENSIONS:
|
| 95 |
+
logger.warning(f"Skipping unsupported file: {file}")
|
| 96 |
+
continue
|
| 97 |
+
file_path = os.path.join(root, file)
|
| 98 |
+
language = {
|
| 99 |
+
".py": "python",
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| 100 |
+
".ts": "typescript",
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| 101 |
+
".js": "javascript",
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| 102 |
+
".java": "java",
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| 103 |
+
".cpp": "cpp",
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| 104 |
+
}.get(ext, "unknown")
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| 105 |
+
try:
|
| 106 |
+
logger.info(f"Processing file: {file_path}")
|
| 107 |
+
code = get_file_content(file_path)
|
| 108 |
+
if not code:
|
| 109 |
+
logger.warning(f"No content found in {file_path}")
|
| 110 |
+
continue
|
| 111 |
+
parser = SimpleTreeSitterParser(language)
|
| 112 |
+
parsed_chunks = parser.parse(code)
|
| 113 |
+
chunks.extend(parsed_chunks)
|
| 114 |
+
except ValueError as ve:
|
| 115 |
+
logger.error(f"Skipping file {file_path} due to parser error: {ve}")
|
| 116 |
+
except Exception as e:
|
| 117 |
+
logger.error(f"Unexpected error processing {file_path}: {e}")
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| 118 |
+
return chunks
|
| 119 |
+
|
| 120 |
+
# Helper: Read File Content
|
| 121 |
+
def get_file_content(file_path: str) -> str:
|
| 122 |
+
"""Read and return the content of a file."""
|
| 123 |
+
try:
|
| 124 |
+
with open(file_path, "r", encoding="utf-8") as f:
|
| 125 |
+
return f.read()
|
| 126 |
+
except Exception as e:
|
| 127 |
+
logger.error(f"Error reading file {file_path}: {e}")
|
| 128 |
+
return ""
|
| 129 |
+
|
| 130 |
+
# Backend Logic: Store Embeddings
|
| 131 |
+
def store_embeddings(documents, namespace="default"):
|
| 132 |
+
"""Store embeddings in Pinecone."""
|
| 133 |
+
try:
|
| 134 |
+
texts = [doc.page_content for doc in documents]
|
| 135 |
+
embeddings = embedding_model.encode(texts, show_progress_bar=True)
|
| 136 |
+
vectors = [
|
| 137 |
+
{
|
| 138 |
+
"id": str(i),
|
| 139 |
+
"values": embeddings[i].tolist(),
|
| 140 |
+
"metadata": {"text": doc.page_content, **doc.metadata},
|
| 141 |
+
}
|
| 142 |
+
for i, doc in enumerate(documents)
|
| 143 |
+
]
|
| 144 |
+
pinecone_index.upsert(vectors=vectors, namespace=namespace)
|
| 145 |
+
logger.info(f"Stored {len(vectors)} embeddings in Pinecone namespace '{namespace}'.")
|
| 146 |
+
except Exception as e:
|
| 147 |
+
logger.error(f"Error storing embeddings: {e}")
|
| 148 |
+
raise
|
| 149 |
+
|
| 150 |
+
# Backend Logic: Perform RAG
|
| 151 |
+
def perform_rag(query: str, namespace="default") -> str:
|
| 152 |
+
"""Retrieve context and generate responses."""
|
| 153 |
+
try:
|
| 154 |
+
query_embedding = embedding_model.encode(query).tolist()
|
| 155 |
+
response = pinecone_index.query(
|
| 156 |
+
vector=query_embedding,
|
| 157 |
+
top_k=10,
|
| 158 |
+
include_metadata=True,
|
| 159 |
+
namespace=namespace
|
| 160 |
+
)
|
| 161 |
+
if not response.get('matches'):
|
| 162 |
+
return "No relevant context found."
|
| 163 |
+
contexts = [match['metadata'].get('text', '') for match in response['matches']]
|
| 164 |
+
augmented_query = "<CONTEXT>\n" + "\n\n-------\n\n".join(contexts) + "\n-------\n</CONTEXT>\n\n" + query
|
| 165 |
+
llm_response = client.chat.completions.create(
|
| 166 |
+
model="llama-3.1-8b-instant",
|
| 167 |
+
messages=[
|
| 168 |
+
{"role": "system", "content": "Answer concisely."},
|
| 169 |
+
{"role": "user", "content": augmented_query}
|
| 170 |
+
]
|
| 171 |
+
)
|
| 172 |
+
return llm_response.choices[0].message.content
|
| 173 |
+
except Exception as e:
|
| 174 |
+
logger.error(f"Error performing RAG: {e}")
|
| 175 |
+
return f"Error: {e}"
|
| 176 |
+
|
| 177 |
+
# Process Repository
|
| 178 |
+
def process_repo(repo_url: str) -> str:
|
| 179 |
+
"""Clone, parse, and store embeddings for a repository."""
|
| 180 |
+
try:
|
| 181 |
+
namespace = repo_url.split("/")[-1].replace(".git", "")
|
| 182 |
+
repo_path = clone_repository(repo_url)
|
| 183 |
+
chunks = parse_repository(repo_path)
|
| 184 |
+
if not chunks:
|
| 185 |
+
return "No valid chunks found in the repository."
|
| 186 |
+
documents = [Document(page_content=chunk["content"], metadata={"repo_url": repo_url}) for chunk in chunks]
|
| 187 |
+
store_embeddings(documents, namespace=namespace)
|
| 188 |
+
return f"Repository processed successfully in namespace '{namespace}'!"
|
| 189 |
+
except Exception as e:
|
| 190 |
+
logger.error(f"Error processing repository: {e}")
|
| 191 |
+
return f"Error: {e}"
|
| 192 |
+
|
| 193 |
+
# Fetch Namespaces
|
| 194 |
+
def fetch_namespaces():
|
| 195 |
+
"""Retrieve namespaces from Pinecone."""
|
| 196 |
+
try:
|
| 197 |
+
stats = pinecone_index.describe_index_stats()
|
| 198 |
+
return list(stats.get("namespaces", {}).keys())
|
| 199 |
+
except Exception as e:
|
| 200 |
+
logger.error(f"Error fetching namespaces: {e}")
|
| 201 |
+
return []
|
| 202 |
+
|
| 203 |
+
# Gradio UI
|
| 204 |
+
def create_ui():
|
| 205 |
+
namespaces = fetch_namespaces()
|
| 206 |
+
|
| 207 |
+
with gr.Blocks() as demo:
|
| 208 |
+
namespace_state = gr.State(value=None)
|
| 209 |
+
chat_history = gr.State(value=[])
|
| 210 |
+
|
| 211 |
+
with gr.Column():
|
| 212 |
+
gr.Markdown("## Codebase Chat App with Repository Management")
|
| 213 |
+
gr.Markdown("""
|
| 214 |
+
**Instructions:**
|
| 215 |
+
1. Enter the GitHub repository URL you wish to clone and click **Git Clone 😺**.
|
| 216 |
+
2. Select a namespace and interact with the chatbot below.
|
| 217 |
+
""")
|
| 218 |
+
|
| 219 |
+
with gr.Row():
|
| 220 |
+
repo_url_input = gr.Textbox(label="GitHub Repository URL", placeholder="Enter repo URL to clone")
|
| 221 |
+
clone_button = gr.Button("Git Clone 😺")
|
| 222 |
+
clone_status = gr.Textbox(label="Clone Status", interactive=False)
|
| 223 |
+
|
| 224 |
+
namespace_dropdown = gr.Dropdown(choices=namespaces, label="Namespace", interactive=True)
|
| 225 |
+
|
| 226 |
+
chatbot = gr.Chatbot(label="Codebase Chatbot", type="messages")
|
| 227 |
+
message_input = gr.Textbox(placeholder="Enter your message here...")
|
| 228 |
+
send_button = gr.Button("Send")
|
| 229 |
+
|
| 230 |
+
def update_namespace_or_clone(repo_url, current_namespace):
|
| 231 |
+
"""Clone repository and update namespaces."""
|
| 232 |
+
if repo_url:
|
| 233 |
+
message = process_repo(repo_url)
|
| 234 |
+
updated_namespaces = fetch_namespaces()
|
| 235 |
+
return (
|
| 236 |
+
gr.update(choices=updated_namespaces, value=None),
|
| 237 |
+
message,
|
| 238 |
+
[], # Clear chat history
|
| 239 |
+
None
|
| 240 |
+
)
|
| 241 |
+
return gr.update(), "Please provide a repository URL.", current_namespace, current_namespace
|
| 242 |
+
|
| 243 |
+
def handle_query(message, history, namespace):
|
| 244 |
+
"""Handle chatbot queries."""
|
| 245 |
+
if not namespace:
|
| 246 |
+
new_history = history + [{"role": "assistant", "content": "Please select a namespace first!"}]
|
| 247 |
+
return new_history, new_history, gr.update(value="")
|
| 248 |
+
|
| 249 |
+
response = perform_rag(message, namespace)
|
| 250 |
+
|
| 251 |
+
# Convert history to the correct format
|
| 252 |
+
formatted_history = history + [
|
| 253 |
+
{"role": "user", "content": message},
|
| 254 |
+
{"role": "assistant", "content": response}
|
| 255 |
+
]
|
| 256 |
+
return formatted_history, formatted_history, gr.update(value="")
|
| 257 |
+
|
| 258 |
+
# Bind clone button
|
| 259 |
+
clone_button.click(
|
| 260 |
+
update_namespace_or_clone,
|
| 261 |
+
inputs=[repo_url_input, namespace_state],
|
| 262 |
+
outputs=[namespace_dropdown, clone_status, chat_history, namespace_state],
|
| 263 |
+
)
|
| 264 |
+
|
| 265 |
+
# Bind query button
|
| 266 |
+
send_button.click(
|
| 267 |
+
handle_query,
|
| 268 |
+
inputs=[message_input, chat_history, namespace_dropdown],
|
| 269 |
+
outputs=[chatbot, chat_history, message_input],
|
| 270 |
+
)
|
| 271 |
+
|
| 272 |
+
return demo
|
| 273 |
+
|
| 274 |
+
|
| 275 |
+
if __name__ == "__main__":
|
| 276 |
+
app = create_ui()
|
| 277 |
+
app.launch()
|
requirements.txt
ADDED
|
@@ -0,0 +1,102 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
aiofiles==23.2.1
|
| 2 |
+
aiohttp==3.9.5
|
| 3 |
+
aiosignal==1.3.1
|
| 4 |
+
annotated-types==0.7.0
|
| 5 |
+
anyio==4.6.2.post1
|
| 6 |
+
attrs==24.2.0
|
| 7 |
+
certifi==2024.8.30
|
| 8 |
+
charset-normalizer==3.4.0
|
| 9 |
+
click==8.1.7
|
| 10 |
+
dataclasses-json==0.6.7
|
| 11 |
+
distro==1.9.0
|
| 12 |
+
fastapi==0.115.5
|
| 13 |
+
ffmpy==0.4.0
|
| 14 |
+
filelock==3.16.1
|
| 15 |
+
frozenlist==1.5.0
|
| 16 |
+
fsspec==2024.10.0
|
| 17 |
+
gitdb==4.0.11
|
| 18 |
+
GitPython==3.1.43
|
| 19 |
+
gradio==5.7.1
|
| 20 |
+
gradio_client==1.5.0
|
| 21 |
+
h11==0.14.0
|
| 22 |
+
httpcore==1.0.7
|
| 23 |
+
httpx==0.28.0
|
| 24 |
+
httpx-sse==0.4.0
|
| 25 |
+
huggingface-hub==0.26.3
|
| 26 |
+
idna==3.10
|
| 27 |
+
Jinja2==3.1.4
|
| 28 |
+
jiter==0.8.0
|
| 29 |
+
joblib==1.4.2
|
| 30 |
+
jsonpatch==1.33
|
| 31 |
+
jsonpointer==3.0.0
|
| 32 |
+
langchain==0.3.9
|
| 33 |
+
langchain-community==0.3.8
|
| 34 |
+
langchain-core==0.3.21
|
| 35 |
+
langchain-pinecone==0.2.0
|
| 36 |
+
langchain-text-splitters==0.3.2
|
| 37 |
+
langsmith==0.1.147
|
| 38 |
+
markdown-it-py==3.0.0
|
| 39 |
+
MarkupSafe==2.1.5
|
| 40 |
+
marshmallow==3.23.1
|
| 41 |
+
mdurl==0.1.2
|
| 42 |
+
mpmath==1.3.0
|
| 43 |
+
multidict==6.1.0
|
| 44 |
+
mypy-extensions==1.0.0
|
| 45 |
+
networkx==3.4.2
|
| 46 |
+
numpy==1.26.4
|
| 47 |
+
openai==1.55.3
|
| 48 |
+
orjson==3.10.12
|
| 49 |
+
packaging==24.2
|
| 50 |
+
pandas==2.2.3
|
| 51 |
+
pillow==11.0.0
|
| 52 |
+
pinecone-client==5.0.1
|
| 53 |
+
pinecone-plugin-inference==1.1.0
|
| 54 |
+
pinecone-plugin-interface==0.0.7
|
| 55 |
+
pip==23.2.1
|
| 56 |
+
propcache==0.2.0
|
| 57 |
+
pydantic==2.10.2
|
| 58 |
+
pydantic_core==2.27.1
|
| 59 |
+
pydantic-settings==2.6.1
|
| 60 |
+
pydub==0.25.1
|
| 61 |
+
Pygments==2.18.0
|
| 62 |
+
python-dateutil==2.9.0.post0
|
| 63 |
+
python-dotenv==1.0.1
|
| 64 |
+
python-multipart==0.0.12
|
| 65 |
+
pytz==2024.2
|
| 66 |
+
PyYAML==6.0.2
|
| 67 |
+
regex==2024.11.6
|
| 68 |
+
requests==2.32.3
|
| 69 |
+
requests-toolbelt==1.0.0
|
| 70 |
+
rich==13.9.4
|
| 71 |
+
ruff==0.8.1
|
| 72 |
+
safehttpx==0.1.1
|
| 73 |
+
safetensors==0.4.5
|
| 74 |
+
scikit-learn==1.5.2
|
| 75 |
+
scipy==1.14.1
|
| 76 |
+
semantic-version==2.10.0
|
| 77 |
+
sentence-transformers==3.3.1
|
| 78 |
+
setuptools==65.5.0
|
| 79 |
+
shellingham==1.5.4
|
| 80 |
+
six==1.16.0
|
| 81 |
+
smmap==5.0.1
|
| 82 |
+
sniffio==1.3.1
|
| 83 |
+
SQLAlchemy==2.0.35
|
| 84 |
+
starlette==0.41.3
|
| 85 |
+
sympy==1.13.1
|
| 86 |
+
tenacity==9.0.0
|
| 87 |
+
threadpoolctl==3.5.0
|
| 88 |
+
tokenizers==0.20.3
|
| 89 |
+
tomlkit==0.12.0
|
| 90 |
+
torch==2.5.1
|
| 91 |
+
tqdm==4.67.1
|
| 92 |
+
transformers==4.46.3
|
| 93 |
+
tree_sitter==0.20.1
|
| 94 |
+
tree-sitter-languages==1.10.2
|
| 95 |
+
typer==0.14.0
|
| 96 |
+
typing_extensions==4.12.2
|
| 97 |
+
typing-inspect==0.9.0
|
| 98 |
+
tzdata==2024.2
|
| 99 |
+
urllib3==2.2.3
|
| 100 |
+
uvicorn==0.32.1
|
| 101 |
+
websockets==12.0
|
| 102 |
+
yarl==1.18.0
|