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Runtime error
Runtime error
Commit
Β·
37a83d8
1
Parent(s):
3ef94a5
fix
Browse files
app.py
CHANGED
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@@ -16,22 +16,36 @@ from theme import TufteInspired
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# Ensure you're logged in to Hugging Face
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login(os.getenv("HF_TOKEN"))
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# Set up dataset storage
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dataset_folder = Path("dataset")
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dataset_folder.mkdir(exist_ok=True)
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# Function to get the latest dataset file
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def get_latest_dataset_file():
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files = list(dataset_folder.glob("data_*.jsonl"))
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return max(files, key=os.path.getctime) if files else None
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# Check for existing dataset and create or append to it
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if latest_file := get_latest_dataset_file():
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dataset_file = latest_file
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@@ -53,18 +67,23 @@ scheduler = CommitScheduler(
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# Global dictionary to store votes
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votes = {}
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def generate_prompt():
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if random.choice([True, False]):
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return detailed_genre_description_prompt()
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else:
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return basic_prompt()
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def get_and_store_prompt():
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prompt = generate_prompt()
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print(prompt) # Keep this for debugging
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return prompt
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def generate_blurb(prompt):
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max_tokens = random.randint(100, 1000)
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chat_completion = client.chat.completions.create(
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model="tgi",
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@@ -77,12 +96,17 @@ def generate_blurb(prompt):
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full_text = ""
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for message in chat_completion:
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full_text += message.choices[0].delta.content
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yield full_text
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def generate_vote_id(user_id, blurb):
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return hashlib.md5(f"{user_id}:{blurb}".encode()).hexdigest()
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user_id = user_info.username if user_info is not None else str(uuid.uuid4())
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vote_id = generate_vote_id(user_id, blurb)
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@@ -98,14 +122,16 @@ def log_blurb_and_vote(prompt, blurb, vote, user_info: gr.OAuthProfile | None, *
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"blurb": blurb,
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"vote": vote,
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"user_id": user_id,
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}
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with scheduler.lock:
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with dataset_file.open("a") as f:
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f.write(json.dumps(log_entry) + "\n")
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gr.Info("Thank you for voting! Your feedback will be synced to the dataset.")
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return f"Logged: {vote} by user {user_id}", gr.Row.update(visible=False)
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# Create custom theme
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tufte_theme = TufteInspired()
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prompt_state = gr.State()
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blurb_output = gr.Markdown(label="Book blurb")
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user_state = gr.State()
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with gr.Row(visible=False) as voting_row:
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upvote_btn = gr.Button("π would read")
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@@ -133,20 +160,21 @@ with gr.Blocks(theme=tufte_theme) as demo:
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vote_output = gr.Textbox(label="Vote Status", interactive=False, visible=True)
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def generate_and_show(prompt, user_info):
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# global votes
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# votes = {k: v for k, v in votes.items() if not k.endswith(hash(previous_blurb))}
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return "Generating...", gr.Row.update(visible=False), user_info
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def show_voting_buttons(blurb):
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return blurb, gr.Row.update(visible=True)
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generate_btn.click(get_and_store_prompt, outputs=prompt_state).then(
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generate_and_show,
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inputs=[prompt_state, login_btn],
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outputs=[blurb_output, voting_row, user_state],
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).then(
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)
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upvote_btn.click(
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@@ -156,6 +184,7 @@ with gr.Blocks(theme=tufte_theme) as demo:
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blurb_output,
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gr.Textbox(value="upvote", visible=False),
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user_state,
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],
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outputs=[vote_output, voting_row],
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)
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@@ -166,6 +195,7 @@ with gr.Blocks(theme=tufte_theme) as demo:
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blurb_output,
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gr.Textbox(value="downvote", visible=False),
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user_state,
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],
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outputs=[vote_output, voting_row],
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)
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# Ensure you're logged in to Hugging Face
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login(os.getenv("HF_TOKEN"))
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# Define available models
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MODELS = [
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"meta-llama/Meta-Llama-3-70B-Instruct",
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"mistralai/Mixtral-8x7B-Instruct-v0.1",
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"NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
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]
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def get_random_model():
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return random.choice(MODELS)
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def create_client(model_id):
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return OpenAI(
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base_url=f"https://api-inference.huggingface.co/models/{model_id}/v1",
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api_key=get_token(),
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)
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# Set up dataset storage
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dataset_folder = Path("dataset")
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dataset_folder.mkdir(exist_ok=True)
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# Function to get the latest dataset file
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def get_latest_dataset_file():
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files = list(dataset_folder.glob("data_*.jsonl"))
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return max(files, key=os.path.getctime) if files else None
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# Check for existing dataset and create or append to it
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if latest_file := get_latest_dataset_file():
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dataset_file = latest_file
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# Global dictionary to store votes
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votes = {}
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def generate_prompt():
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if random.choice([True, False]):
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return detailed_genre_description_prompt()
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else:
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return basic_prompt()
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def get_and_store_prompt():
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prompt = generate_prompt()
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print(prompt) # Keep this for debugging
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return prompt
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def generate_blurb(prompt):
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model_id = get_random_model()
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client = create_client(model_id)
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max_tokens = random.randint(100, 1000)
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chat_completion = client.chat.completions.create(
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model="tgi",
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full_text = ""
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for message in chat_completion:
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full_text += message.choices[0].delta.content
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yield full_text, model_id
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return full_text, model_id # Return final result with model_id
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def generate_vote_id(user_id, blurb):
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return hashlib.md5(f"{user_id}:{blurb}".encode()).hexdigest()
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def log_blurb_and_vote(
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prompt, blurb, vote, user_info: gr.OAuthProfile | None, model_id, *args
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):
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user_id = user_info.username if user_info is not None else str(uuid.uuid4())
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vote_id = generate_vote_id(user_id, blurb)
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"blurb": blurb,
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"vote": vote,
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"user_id": user_id,
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"model_id": model_id,
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}
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with scheduler.lock:
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with dataset_file.open("a") as f:
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f.write(json.dumps(log_entry) + "\n")
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gr.Info("Thank you for voting! Your feedback will be synced to the dataset.")
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return f"Logged: {vote} by user {user_id}", gr.Row.update(visible=False)
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# Create custom theme
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tufte_theme = TufteInspired()
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prompt_state = gr.State()
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blurb_output = gr.Markdown(label="Book blurb")
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user_state = gr.State()
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model_state = gr.State()
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with gr.Row(visible=False) as voting_row:
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upvote_btn = gr.Button("π would read")
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vote_output = gr.Textbox(label="Vote Status", interactive=False, visible=True)
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def generate_and_show(prompt, user_info):
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return "Generating...", gr.Row.update(visible=False), user_info, None
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def show_voting_buttons(blurb, model_id):
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return blurb, gr.Row.update(visible=True), model_id
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generate_btn.click(get_and_store_prompt, outputs=prompt_state).then(
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generate_and_show,
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inputs=[prompt_state, login_btn],
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outputs=[blurb_output, voting_row, user_state, model_state],
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).then(
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generate_blurb, inputs=prompt_state, outputs=[blurb_output, model_state]
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).then(
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show_voting_buttons,
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inputs=[blurb_output, model_state],
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outputs=[blurb_output, voting_row, model_state],
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)
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upvote_btn.click(
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blurb_output,
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gr.Textbox(value="upvote", visible=False),
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user_state,
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model_state,
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],
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outputs=[vote_output, voting_row],
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)
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blurb_output,
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gr.Textbox(value="downvote", visible=False),
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user_state,
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model_state,
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],
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outputs=[vote_output, voting_row],
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)
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