Spaces:
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Update app.py
Browse files
app.py
CHANGED
@@ -1,23 +1,23 @@
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import os
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import json
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from huggingface_hub import create_repo, list_models, upload_file, constants
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from huggingface_hub.utils import build_hf_headers, get_session, hf_raise_for_status
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import gradio as gr
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from google import genai
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from google.genai import types
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# --- Globals ---
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client = None
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chat = None
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# --- System
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system_instruction = (
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"You are a helpful assistant that writes, debugs, and pushes code to Hugging Face Spaces. "
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"Treat
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"
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)
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# --- Function declarations for logs
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get_build_logs_decl = {
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"name": "get_build_logs",
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"description": "Fetches build logs for a Space",
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@@ -28,118 +28,93 @@ get_container_logs_decl = {
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"description": "Fetches container logs for a Space",
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"parameters": {"type":"object","properties":{"repo_id":{"type":"string"}},"required":["repo_id"]}
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}
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tools = [types.Tool(function_declarations=[get_build_logs_decl, get_container_logs_decl])]
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# ---
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def
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jwt_url = f"{constants.ENDPOINT}/api/spaces/{repo_id}/jwt"
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r = get_session().get(jwt_url, headers=build_hf_headers())
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hf_raise_for_status(r)
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jwt = r.json()["token"]
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with get_session().get(
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hf_raise_for_status(resp)
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for raw in resp.iter_lines():
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if
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return records
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# ---
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def
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repo_id = f"{username}/{repo_name}"
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create_repo(
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repo_id=repo_id,
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token=hf_token,
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exist_ok=True,
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repo_type="space",
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space_sdk=sdk
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)
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return repo_id
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# --- Chat init & respond handlers ---
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def init_chat(repo_name: str, sdk: str, api_key: str, hf_profile: gr.OAuthProfile, hf_token: gr.OAuthToken):
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global client, chat
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# Validate
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if not api_key:
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return {"success": False, "data": None, "message": "Missing Gemini API key."}, ""
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if hf_profile is None or hf_token is None:
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return {"success":
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repo_id = create_space_backend(hf_profile.username, hf_token.token, repo_name, sdk)
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os.environ["HF_TOKEN"] = hf_token.token
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#
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client = genai.Client(api_key=
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chat = client.chats.create(
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model="gemini-2.5-flash-preview-04-17",
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config=types.GenerateContentConfig(
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system_instruction=system_instruction,
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tools=tools,
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temperature=0
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)
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)
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return {"success":
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def chatbot_respond(message: str, history: list, repo_id: str, api_key: str):
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global chat
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if chat is None:
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history.append((None, "Error: chat not initialized."))
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return history
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part =
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if part.function_call:
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fn
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args
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else:
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reply
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history.append((message, reply))
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return history
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# --- UI
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with gr.Blocks(
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#
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)
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with gr.Row():
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# Sidebar
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with gr.Column(scale=2):
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gr.Markdown("
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repo_name = gr.Textbox(label="Space Name"
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repo_store = gr.State("")
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init_chat,
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inputs=[repo_name, sdk_selector, api_key, login_btn, login_btn],
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outputs=[create_status, repo_store]
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)
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# Chat area
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with gr.Column(scale=8):
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chatbot = gr.Chatbot()
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user_input = gr.Textbox(show_label=False, placeholder="Ask
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user_input.submit(
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chatbot_respond,
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inputs=[user_input, chatbot, repo_store, api_key],
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outputs=[chatbot]
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)
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if __name__ == "__main__":
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demo.launch()
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import os
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import json
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import gradio as gr
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from huggingface_hub import create_repo, list_models, upload_file, constants
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from huggingface_hub.utils import build_hf_headers, get_session, hf_raise_for_status
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from google import genai
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from google.genai import types
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# --- Globals ---
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client = None
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chat = None
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# --- System instruction for Gemini ---
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system_instruction = (
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"You are a helpful assistant that writes, debugs, and pushes code to Hugging Face Spaces. "
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"Treat Spaces as a sandbox: create, upload, debug. "
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"Use function calling for logs and respond in JSON {success, data, message}."
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)
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# --- Function declarations for logs ---
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get_build_logs_decl = {
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"name": "get_build_logs",
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"description": "Fetches build logs for a Space",
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"description": "Fetches container logs for a Space",
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"parameters": {"type":"object","properties":{"repo_id":{"type":"string"}},"required":["repo_id"]}
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}
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tools = [ types.Tool(function_declarations=[get_build_logs_decl, get_container_logs_decl]) ]
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# --- HF helpers ---
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def create_space_backend(username, hf_token, repo_name, sdk):
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repo_id = f"{username}/{repo_name}"
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create_repo(repo_id=repo_id, token=hf_token, exist_ok=True, repo_type="space", space_sdk=sdk)
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return repo_id
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def fetch_logs(repo_id, level):
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jwt_url = f"{constants.ENDPOINT}/api/spaces/{repo_id}/jwt"
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r = get_session().get(jwt_url, headers=build_hf_headers())
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hf_raise_for_status(r)
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jwt = r.json()["token"]
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url = f"https://api.hf.space/v1/{repo_id}/logs/{level}"
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lines=[]
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with get_session().get(url, headers=build_hf_headers(token=jwt), stream=True) as resp:
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hf_raise_for_status(resp)
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for raw in resp.iter_lines():
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if raw.startswith(b"data: "):
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try:
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ev=json.loads(raw[len(b"data: "):].decode())
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lines.append({"timestamp":ev.get("timestamp"),"message":ev.get("data")})
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except: pass
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return lines
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# --- Chat init & respond ---
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def init_chat(repo_name, sdk, gemini_key, hf_profile, hf_token):
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global client, chat
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# Validate
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if hf_profile is None or hf_token is None:
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return {"success":False,"data":None,"message":"Please sign in with HF."}, ""
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if not gemini_key:
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return {"success":False,"data":None,"message":"Missing Gemini API key."}, ""
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# create space
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repo_id = create_space_backend(hf_profile.username, hf_token.token, repo_name, sdk)
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os.environ["HF_TOKEN"] = hf_token.token
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# init Gemini
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client = genai.Client(api_key=gemini_key)
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chat = client.chats.create(
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model="gemini-2.5-flash-preview-04-17",
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config=types.GenerateContentConfig(system_instruction=system_instruction, tools=tools, temperature=0)
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)
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return {"success":True,"data":None,"message":f"Sandbox ready: {repo_id}"}, repo_id
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def chatbot_respond(message, history, repo_id, gemini_key):
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global chat
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if chat is None:
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history.append((None, "Error: chat not initialized."))
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return history
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resp = chat.send_message(message)
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part = resp.candidates[0].content.parts[0]
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if part.function_call:
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fn=part.function_call
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args=json.loads(fn.args)
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level = "build" if fn.name=="get_build_logs" else "run"
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logs=fetch_logs(repo_id, level)
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resp2 = chat.send_message("", function_response={fn.name:logs})
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reply=resp2.candidates[0].content.parts[0].text
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else:
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reply=part.text
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history.append((message, reply))
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return history
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# --- UI ---
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with gr.Blocks() as demo:
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gr.Markdown("# HF Code Sandbox Chat")
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# login
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login_btn = gr.LoginButton("Sign in with HF", variant="huggingface")
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login_status = gr.Markdown("*Not signed in.*")
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models_md = gr.Markdown()
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login_btn.click(lambda p: show_profile(p), inputs=[login_btn], outputs=[login_status])
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login_btn.click(lambda p, t: list_private_models(p,t), inputs=[login_btn, login_btn.token], outputs=[models_md])
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with gr.Row():
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with gr.Column(scale=2):
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gr.Markdown("## Setup Sandbox")
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gemini_key = gr.Textbox(label="Gemini API Key", type="password")
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repo_name = gr.Textbox(label="Space Name")
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sdk = gr.Radio(choices=["gradio","streamlit"], label="SDK", value="gradio")
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init_btn = gr.Button("Initialize Sandbox")
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init_status = gr.JSON()
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repo_store = gr.State("")
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init_btn.click(init_chat, inputs=[repo_name, sdk, gemini_key, login_btn, login_btn.token], outputs=[init_status, repo_store])
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with gr.Column(scale=8):
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chatbot = gr.Chatbot(type="messages")
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user_input = gr.Textbox(show_label=False, placeholder="Ask to write/debug code...")
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user_input.submit(chatbot_respond, inputs=[user_input, chatbot, repo_store, gemini_key], outputs=[chatbot])
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if __name__ == "__main__":
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demo.launch()
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