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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/app_users/migrations/0010_alter_appuser_balance_alter_appuser_created_at_and_more.py b/app_users/migrations/0010_alter_appuser_balance_alter_appuser_created_at_and_more.py new file mode 100644 index 000000000..fc8b7f401 --- /dev/null +++ b/app_users/migrations/0010_alter_appuser_balance_alter_appuser_created_at_and_more.py @@ -0,0 +1,38 @@ +# Generated by Django 4.2.5 on 2023-11-12 15:40 + +from django.db import migrations, models +import django.utils.timezone + + +class Migration(migrations.Migration): + dependencies = [ + ("app_users", "0009_alter_appusertransaction_options_and_more"), + ] + + operations = [ + migrations.AlterField( + model_name="appuser", + name="balance", + field=models.IntegerField(verbose_name="bal"), + ), + migrations.AlterField( + model_name="appuser", + name="created_at", + field=models.DateTimeField( + blank=True, + default=django.utils.timezone.now, + editable=False, + verbose_name="created", + ), + ), + migrations.AlterField( + model_name="appuser", + name="display_name", + field=models.TextField(blank=True, verbose_name="name"), + ), + migrations.AlterField( + model_name="appuser", + name="is_paying", + field=models.BooleanField(default=False, verbose_name="paid"), + ), + ] diff --git a/bots/migrations/0046_savedrun_bots_savedr_created_cb8e09_idx_and_more.py b/bots/migrations/0046_savedrun_bots_savedr_created_cb8e09_idx_and_more.py new file mode 100644 index 000000000..ff6fb4d97 --- /dev/null +++ b/bots/migrations/0046_savedrun_bots_savedr_created_cb8e09_idx_and_more.py @@ -0,0 +1,24 @@ +# Generated by Django 4.2.5 on 2023-11-12 15:40 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + dependencies = [ + ("bots", "0045_savedrun_transaction"), + ] + + operations = [ + migrations.AddIndex( + model_name="savedrun", + index=models.Index( + fields=["-created_at"], name="bots_savedr_created_cb8e09_idx" + ), + ), + migrations.AddIndex( + model_name="savedrun", + index=models.Index( + fields=["-updated_at"], name="bots_savedr_updated_a6c854_idx" + ), + ), + ] diff --git a/bots/models.py b/bots/models.py index b527cd998..937f26e70 100644 --- a/bots/models.py +++ b/bots/models.py @@ -170,6 +170,8 @@ class Meta: ), ] indexes = [ + models.Index(fields=["-created_at"]), + models.Index(fields=["-updated_at"]), models.Index(fields=["workflow"]), models.Index(fields=["workflow", "run_id", "uid"]), models.Index(fields=["workflow", "example_id", "run_id", "uid"]), diff --git a/daras_ai_v2/base.py b/daras_ai_v2/base.py index f8899b172..b306cf626 100644 --- a/daras_ai_v2/base.py +++ b/daras_ai_v2/base.py @@ -91,6 +91,7 @@ class BasePage: slug_versions: list[str] sane_defaults: dict = {} + RequestModel: typing.Type[BaseModel] ResponseModel: typing.Type[BaseModel] @@ -154,7 +155,6 @@ def render(self): ) example_id, run_id, uid = extract_query_params(gooey_get_query_params()) - if st.session_state.get(StateKeys.run_status): channel = f"gooey-outputs/{self.slug_versions[0]}/{uid}/{run_id}" output = realtime_pull([channel])[0] @@ -479,14 +479,18 @@ def render_submit_button(self, key="--submit-1"): col2.node.props[ "className" ] += " d-flex justify-content-end align-items-center" + col1.node.props["className"] += " d-flex flex-column justify-content-center" with col1: + cost_note = self.get_cost_note() or "" + if cost_note: + cost_note = f"({cost_note.strip()})" st.caption( - f"Run cost = [{self.get_price_roundoff(st.session_state)} credits]({self.get_credits_click_url()}) \\\n" - f"_By submitting, you agree to Gooey.AI's [terms](https://gooey.ai/terms) & [privacy policy](https://gooey.ai/privacy)._ ", + f""" +Run cost = {self.get_price_roundoff(st.session_state)} credits {cost_note} +{self.additional_notes() or ""} + """, + unsafe_allow_html=True, ) - additional_notes = self.additional_notes() - if additional_notes: - st.caption(additional_notes) with col2: submitted = st.button( "πŸƒ Submit", @@ -632,6 +636,11 @@ def _render_input_col(self): st.text_input("Title", key=StateKeys.page_title) st.text_area("Notes", key=StateKeys.page_notes) submitted = self.render_submit_button() + with st.div(style={"textAlign": "right"}): + st.caption( + "_By submitting, you agree to Gooey.AI's [terms](https://gooey.ai/terms) & " + "[privacy policy](https://gooey.ai/privacy)._" + ) return submitted def _render_output_col(self, submitted: bool): @@ -1141,6 +1150,9 @@ def get_example_response_body( def additional_notes(self) -> str | None: pass + def get_cost_note(self) -> str | None: + pass + def is_current_user_admin(self) -> bool: if not self.request or not self.request.user: return False @@ -1150,6 +1162,11 @@ def is_current_user_admin(self) -> bool: def is_current_user_paying(self) -> bool: return bool(self.request and self.request.user and self.request.user.is_paying) + def is_current_user_owner(self) -> bool: + return bool( + self.request and self.request.user and self.run_user == self.request.user + ) + def get_example_request_body( request_model: typing.Type[BaseModel], diff --git a/daras_ai_v2/language_model.py b/daras_ai_v2/language_model.py index f928670f3..6d75b7396 100644 --- a/daras_ai_v2/language_model.py +++ b/daras_ai_v2/language_model.py @@ -1,7 +1,6 @@ import hashlib import io import re -import threading import typing from enum import Enum from functools import wraps @@ -9,7 +8,6 @@ import numpy as np import requests -import tiktoken import typing_extensions from django.conf import settings from jinja2.lexer import whitespace_re @@ -38,8 +36,8 @@ class LLMApis(Enum): class LargeLanguageModels(Enum): - gpt_4 = "GPT-4 (openai)" gpt_4_turbo = "GPT-4 Turbo (openai)" + gpt_4 = "GPT-4 (openai)" gpt_3_5_turbo = "ChatGPT (openai)" gpt_3_5_turbo_16k = "ChatGPT 16k (openai)" @@ -71,7 +69,7 @@ def is_chat_model(self) -> bool: ] -engine_names = { +llm_model_names = { LargeLanguageModels.gpt_4: "gpt-4", LargeLanguageModels.gpt_4_turbo: "gpt-4-1106-preview", LargeLanguageModels.gpt_3_5_turbo: "gpt-3.5-turbo", @@ -155,14 +153,17 @@ def calc_gpt_tokens( def get_openai_error_cls(): - import openai.error + import openai + + class ServiceUnavailableError(openai.APIStatusError): + status_code = 503 return ( - openai.error.Timeout, - openai.error.APIError, - openai.error.APIConnectionError, - openai.error.RateLimitError, - openai.error.ServiceUnavailableError, + openai.APITimeoutError, + openai.APIError, + openai.APIConnectionError, + openai.RateLimitError, + ServiceUnavailableError, ) @@ -250,10 +251,11 @@ def np_dumps(a: np.ndarray) -> bytes: def _openai_embedding_create( *, input: list[str], model: str = "text-embedding-ada-002" ) -> np.ndarray: - import openai + from openai import OpenAI - res = openai.Embedding.create(model=model, input=input) - ret = np.array([data["embedding"] for data in res["data"]]) # type: ignore + client = OpenAI() + res = client.embeddings.create(model=model, input=input) + ret = np.array([data.embedding for data in res.data]) # see - https://community.openai.com/t/text-embedding-ada-002-embeddings-sometime-return-nan/279664/5 if np.isnan(ret).any(): @@ -301,7 +303,7 @@ def run_language_model( is_chatml, messages = parse_chatml(prompt) # type: ignore result = _run_chat_model( api=api, - engine=engine_names[model], + engine=llm_model_names[model], messages=messages or [], # type: ignore max_tokens=max_tokens, num_outputs=num_outputs, @@ -343,10 +345,11 @@ def _run_text_model( ) -> list[str]: match api: case LLMApis.openai: - import openai + from openai import OpenAI - r = openai.Completion.create( - engine=engine_names[model], + client = OpenAI() + r = client.completions.create( + model=llm_model_names[model], prompt=prompt, max_tokens=max_tokens, stop=stop, @@ -356,10 +359,10 @@ def _run_text_model( frequency_penalty=0.1 if avoid_repetition else 0, presence_penalty=0.25 if avoid_repetition else 0, ) - return [choice["text"] for choice in r["choices"]] + return [choice.text for choice in r.choices] case LLMApis.vertex_ai: return _run_palm_text( - model_id=engine_names[model], + model_id=llm_model_names[model], prompt=prompt, max_output_tokens=min(max_tokens, 1024), # because of Vertex AI limits candidate_count=num_outputs, @@ -382,9 +385,10 @@ def _run_chat_model( ) -> list[ConversationEntry]: match api: case LLMApis.openai: - import openai + from openai import OpenAI - r = openai.ChatCompletion.create( + client = OpenAI() + r = client.chat.completions.create( model=engine, messages=messages, max_tokens=max_tokens, @@ -394,7 +398,7 @@ def _run_chat_model( frequency_penalty=0.1 if avoid_repetition else 0, presence_penalty=0.25 if avoid_repetition else 0, ) - return [choice["message"] for choice in r["choices"]] + return [choice.message.dict() for choice in r.choices] case LLMApis.vertex_ai: return _run_palm_chat( model_id=engine, diff --git a/daras_ai_v2/query_generator.py b/daras_ai_v2/query_generator.py index 849836e9b..2769d273c 100644 --- a/daras_ai_v2/query_generator.py +++ b/daras_ai_v2/query_generator.py @@ -23,7 +23,7 @@ def generate_final_search_query( if not instructions: return "" model = LargeLanguageModels[request.selected_model] - max_tokens = model_max_tokens[model] // 8 # just a sane default + max_tokens = min(model_max_tokens[model] // 8, 1024) # just a sane default return run_language_model( model=request.selected_model, prompt=instructions, diff --git a/daras_ai_v2/stable_diffusion.py b/daras_ai_v2/stable_diffusion.py index a78e962bd..4e5b09b0d 100644 --- a/daras_ai_v2/stable_diffusion.py +++ b/daras_ai_v2/stable_diffusion.py @@ -50,7 +50,8 @@ class Text2ImgModels(Enum): analog_diffusion = "Analog Diffusion (wavymulder)" protogen_5_3 = "Protogen v5.3 (darkstorm2150)" dreamlike_2 = "Dreamlike Photoreal 2.0 (dreamlike.art)" - dall_e = "Dall-E (OpenAI)" + dall_e = "DALLΒ·E 2 (OpenAI)" + dall_e_3 = "DALLΒ·E 3 (OpenAI)" jack_qiao = "Stable Diffusion v1.4 [Deprecated] (Jack Qiao)" deepfloyd_if = "DeepFloyd IF [Deprecated] (stability.ai)" @@ -70,6 +71,8 @@ def _deprecated(cls): Text2ImgModels.openjourney_2: "prompthero/openjourney-v2", Text2ImgModels.dreamlike_2: "dreamlike-art/dreamlike-photoreal-2.0", Text2ImgModels.protogen_5_3: "darkstorm2150/Protogen_v5.3_Official_Release", + Text2ImgModels.dall_e: "dall-e-2", + Text2ImgModels.dall_e_3: "dall-e-3", } @@ -268,17 +271,29 @@ def text2img( _resolution_check(width, height, max_size=(1024, 1024)) match selected_model: + case Text2ImgModels.dall_e_3.name: + from openai import OpenAI + + client = OpenAI() + response = client.images.generate( + model=text2img_model_ids[Text2ImgModels[selected_model]], + n=num_outputs, + prompt=prompt, + response_format="b64_json", + ) + out_imgs = [b64_img_decode(part.b64_json) for part in response.data] case Text2ImgModels.dall_e.name: - import openai + from openai import OpenAI edge = _get_dalle_img_size(width, height) - response = openai.Image.create( + client = OpenAI() + response = client.images.generate( n=num_outputs, prompt=prompt, size=f"{edge}x{edge}", response_format="b64_json", ) - out_imgs = [b64_img_decode(part["b64_json"]) for part in response["data"]] + out_imgs = [b64_img_decode(part.b64_json) for part in response.data] case _: prompt = add_prompt_prefix(prompt, selected_model) return call_sd_multi( @@ -338,12 +353,13 @@ def img2img( match selected_model: case Img2ImgModels.dall_e.name: - import openai + from openai import OpenAI edge = _get_dalle_img_size(width, height) image = resize_img_pad(init_image_bytes, (edge, edge)) - response = openai.Image.create_variation( + client = OpenAI() + response = client.images.create_variation( image=image, n=num_outputs, size=f"{edge}x{edge}", @@ -351,8 +367,8 @@ def img2img( ) out_imgs = [ - resize_img_fit(b64_img_decode(part["b64_json"]), (width, height)) - for part in response["data"] + resize_img_fit(b64_img_decode(part.b64_json), (width, height)) + for part in response.data ] case _: prompt = add_prompt_prefix(prompt, selected_model) @@ -457,21 +473,22 @@ def inpainting( match selected_model: case InpaintingModels.dall_e.name: - import openai + from openai import OpenAI edge = _get_dalle_img_size(width, height) edit_image_bytes = resize_img_pad(edit_image_bytes, (edge, edge)) mask_bytes = resize_img_pad(mask_bytes, (edge, edge)) image = rgb_img_to_rgba(edit_image_bytes, mask_bytes) - response = openai.Image.create_edit( + client = OpenAI() + response = client.images.edit( prompt=prompt, image=image, n=num_outputs, size=f"{edge}x{edge}", response_format="b64_json", ) - out_imgs = [b64_img_decode(part["b64_json"]) for part in response["data"]] + out_imgs = [b64_img_decode(part.b64_json) for part in response.data] case InpaintingModels.sd_2.name | InpaintingModels.runway_ml.name: out_imgs_urls = call_sd_multi( diff --git a/daras_ai_v2/text_to_speech_settings_widgets.py b/daras_ai_v2/text_to_speech_settings_widgets.py index 137cdb3c9..110edc279 100644 --- a/daras_ai_v2/text_to_speech_settings_widgets.py +++ b/daras_ai_v2/text_to_speech_settings_widgets.py @@ -1,11 +1,14 @@ from enum import Enum -import gooey_ui as st +import requests from google.cloud import texttospeech +import gooey_ui as st from daras_ai_v2.enum_selector_widget import enum_selector from daras_ai_v2.redis_cache import redis_cache_decorator +SESSION_ELEVENLABS_API_KEY = "__user__elevenlabs_api_key" + UBERDUCK_VOICES = { "Aiden Botha": "b01cf18d-0f10-46dd-adc6-562b599fdae4", "Angus": "7d29a280-8a3e-4c4b-9df4-cbe77e8f4a63", @@ -23,7 +26,7 @@ class TextToSpeechProviders(Enum): GOOGLE_TTS = "Google Cloud Text-to-Speech" - ELEVEN_LABS = "Eleven Labs (Premium)" + ELEVEN_LABS = "Eleven Labs" UBERDUCK = "uberduck.ai" BARK = "Bark (suno-ai)" @@ -135,7 +138,7 @@ class TextToSpeechProviders(Enum): } -def text_to_speech_settings(page=None): +def text_to_speech_settings(page): st.write( """ ##### πŸ—£οΈ Voice Settings @@ -227,25 +230,86 @@ def text_to_speech_settings(page=None): case TextToSpeechProviders.ELEVEN_LABS.name: with col2: - if not ( - page - and (page.is_current_user_paying() or page.is_current_user_admin()) - ): - st.caption( + if not st.session_state.get("elevenlabs_api_key"): + st.session_state["elevenlabs_api_key"] = page.request.session.get( + SESSION_ELEVENLABS_API_KEY + ) + + elevenlabs_use_custom_key = st.checkbox( + "Use custom API key + Voice ID", + value=bool(st.session_state.get("elevenlabs_api_key")), + ) + if elevenlabs_use_custom_key: + st.session_state["elevenlabs_voice_name"] = None + elevenlabs_api_key = st.text_input( """ - Note: Please purchase Gooey.AI credits to use ElevenLabs voices - here. + ###### Your ElevenLabs API key + *Read this + to know how to obtain an API key from + ElevenLabs.* + """, + key="elevenlabs_api_key", + ) + + selected_voice_id = st.session_state.get("elevenlabs_voice_id") + elevenlabs_voices = ( + {selected_voice_id: selected_voice_id} + if selected_voice_id + else {} + ) + + if elevenlabs_api_key: + try: + elevenlabs_voices = fetch_elevenlabs_voices( + elevenlabs_api_key + ) + except requests.exceptions.HTTPError as e: + st.error( + f"Invalid ElevenLabs API key. Failed to fetch voices: {e}" + ) + + st.selectbox( + """ + ###### Voice ID (ElevenLabs) + """, + key="elevenlabs_voice_id", + options=elevenlabs_voices.keys(), + format_func=elevenlabs_voices.__getitem__, + ) + else: + st.session_state["elevenlabs_api_key"] = None + st.session_state["elevenlabs_voice_id"] = None + if not ( + page + and ( + page.is_current_user_paying() + or page.is_current_user_admin() + ) + ): + st.caption( + """ + Note: Please purchase Gooey.AI credits to use ElevenLabs voices + here.
+ Alternatively, you can use your own ElevenLabs API key by selecting the checkbox above. + """ + ) + + st.session_state.update( + elevenlabs_api_key=None, elevenlabs_voice_id=None + ) + st.selectbox( """ + ###### Voice Name (ElevenLabs) + """, + key="elevenlabs_voice_name", + format_func=str, + options=ELEVEN_LABS_VOICES.keys(), ) - st.selectbox( - """ - ###### Voice name (ElevenLabs) - """, - key="elevenlabs_voice_name", - format_func=str, - options=ELEVEN_LABS_VOICES.keys(), + page.request.session[SESSION_ELEVENLABS_API_KEY] = st.session_state.get( + "elevenlabs_api_key" ) + st.selectbox( """ ###### Voice Model @@ -323,3 +387,28 @@ def _voice_sort_key(voice: texttospeech.Voice): # sort alphabetically voice.name, ) + + +_elevenlabs_category_order = { + "cloned": 1, + "generated": 2, + "premade": 3, +} + + +@st.cache_in_session_state +def fetch_elevenlabs_voices(api_key: str) -> dict[str, str]: + r = requests.get( + "https://api.elevenlabs.io/v1/voices", + headers={"Accept": "application/json", "xi-api-key": api_key}, + ) + r.raise_for_status() + print(r.json()["voices"]) + sorted_voices = sorted( + r.json()["voices"], + key=lambda v: (_elevenlabs_category_order.get(v["category"], 0), v["name"]), + ) + return { + v["voice_id"]: " - ".join([v["name"], *v["labels"].values()]) + for v in sorted_voices + } diff --git a/gooey_ui/components.py b/gooey_ui/components.py index b6919a487..245c9e97e 100644 --- a/gooey_ui/components.py +++ b/gooey_ui/components.py @@ -619,6 +619,33 @@ def text_input( return value or "" +def password_input( + label: str, + value: str = "", + max_chars: str = None, + key: str = None, + help: str = None, + *, + placeholder: str = None, + disabled: bool = False, + label_visibility: LabelVisibility = "visible", + **props, +) -> str: + value = _input_widget( + input_type="password", + label=label, + value=value, + key=key, + help=help, + disabled=disabled, + label_visibility=label_visibility, + maxLength=max_chars, + placeholder=placeholder, + **props, + ) + return value or "" + + def slider( label: str, min_value: float = None, diff --git a/poetry.lock b/poetry.lock index ef49d423c..6a88924a8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,109 +2,109 @@ [[package]] name = "absl-py" -version = "1.4.0" +version = "2.0.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" files = [ - {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"}, - {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"}, + {file = "absl-py-2.0.0.tar.gz", hash = "sha256:d9690211c5fcfefcdd1a45470ac2b5c5acd45241c3af71eed96bc5441746c0d5"}, + {file = "absl_py-2.0.0-py3-none-any.whl", hash = "sha256:9a28abb62774ae4e8edbe2dd4c49ffcd45a6a848952a5eccc6a49f3f0fc1e2f3"}, ] [[package]] name = "aiohttp" 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"").strip() prompt += "\nMIDI: " + state.get("midi_notes", "") + "\nEnglish:" - r = openai.Completion.create( - engine="text-davinci-002", + client = OpenAI() + r = client.completions.create( + model="text-davinci-002", max_tokens=250, prompt=prompt, stop=["English:", "MIDI:", "\n"], @@ -97,20 +98,21 @@ def run_midi_notes(self, state: dict): n=1, ) # choose the first completion that isn't empty - for choice in r["choices"]: - text = choice["text"].strip() + for choice in r.choices: + text = choice.text.strip() if text: return text return "" def run_chyron(self, state: dict): - import openai + from openai import OpenAI prompt = state.get("chyron_prompt", "").strip() prompt += "\nUser: " + state.get("midi_translation", "").strip() + "\nChyron:" - r = openai.Completion.create( - engine="text-davinci-002", + client = OpenAI() + r = client.completions.create( + model="text-davinci-002", max_tokens=250, prompt=prompt, stop=["\nChyron:", "\nUser:"], @@ -118,8 +120,8 @@ def run_chyron(self, state: dict): n=1, ) # choose the first completion that isn't empty - for choice in r["choices"]: - text = choice["text"].strip() + for choice in r.choices: + text = choice.text.strip() if text: return text return "" diff --git a/recipes/CompareText2Img.py b/recipes/CompareText2Img.py index 31239baa3..05fd37057 100644 --- a/recipes/CompareText2Img.py +++ b/recipes/CompareText2Img.py @@ -241,7 +241,7 @@ def get_raw_price(self, state: dict) -> int: match name: case Text2ImgModels.deepfloyd_if.name: total += 5 - case Text2ImgModels.dall_e.name: + case Text2ImgModels.dall_e.name | Text2ImgModels.dall_e_3.name: total += 15 case _: total += 2 diff --git a/recipes/DeforumSD.py b/recipes/DeforumSD.py index c2ebd231c..b5ab1c327 100644 --- a/recipes/DeforumSD.py +++ b/recipes/DeforumSD.py @@ -229,11 +229,11 @@ def render_form_v2(self): """ ) + def get_cost_note(self) -> str | None: + return f"{CREDITS_PER_FRAME} / frame" + def additional_notes(self) -> str | None: - return f""" -*Cost β‰ˆ {CREDITS_PER_FRAME} credits per frame* \\ -*Process Run Time β‰ˆ 5 seconds per frame* - """ + return "Render Time β‰ˆ 3s / frame" def get_raw_price(self, state: dict) -> float: max_frames = state.get("max_frames", 100) or 0 diff --git a/recipes/Lipsync.py b/recipes/Lipsync.py index 44e2af76f..68ac496a0 100644 --- a/recipes/Lipsync.py +++ b/recipes/Lipsync.py @@ -126,10 +126,8 @@ def render_usage_guide(self): def preview_description(self, state: dict) -> str: return "Create high-quality, realistic Lipsync animations from any audio file. Input a sample face gif/video + audio and we will automatically generate a lipsync animation that matches your audio." - def additional_notes(self) -> str | None: - return f""" - *Cost β‰ˆ {CREDITS_PER_MB} credits per MB* - """ + def get_cost_note(self) -> str | None: + return f"{CREDITS_PER_MB} credits per MB" def get_raw_price(self, state: dict) -> float: total_bytes = 0 diff --git a/recipes/LipsyncTTS.py b/recipes/LipsyncTTS.py index 279dd8b15..5a1eb10d4 100644 --- a/recipes/LipsyncTTS.py +++ b/recipes/LipsyncTTS.py @@ -47,6 +47,8 @@ class RequestModel(BaseModel): bark_history_prompt: str | None elevenlabs_voice_name: str | None + elevenlabs_api_key: str | None + elevenlabs_voice_id: str | None elevenlabs_model: str | None elevenlabs_stability: float | None elevenlabs_similarity_boost: float | None @@ -167,15 +169,20 @@ def get_raw_price(self, state: dict): else: return LipsyncPage.get_raw_price(self, state) + def get_cost_note(self): + return "Lipsync cost + TTS cost" + def additional_notes(self): - lipsync_notes = LipsyncPage.additional_notes(self) - if tts_notes := TextToSpeechPage.additional_notes(self): - notes = f""" - - *Lipsync* {lipsync_notes.strip()} - - *TTS* {tts_notes.strip()} - """ - else: - notes = lipsync_notes + cost_notes = { + "Lipsync": LipsyncPage.get_cost_note(self), + "TTS": TextToSpeechPage.get_cost_note(self), + } + notes = "\n".join( + [f"- *{k} cost: {v.strip()}*" if v else "" for k, v in cost_notes.items()] + ) + + notes += LipsyncPage.additional_notes(self) or "" + notes += TextToSpeechPage.additional_notes(self) or "" return notes diff --git a/recipes/TextToSpeech.py b/recipes/TextToSpeech.py index de8178cee..0df5d1d3d 100644 --- a/recipes/TextToSpeech.py +++ b/recipes/TextToSpeech.py @@ -65,6 +65,8 @@ class RequestModel(BaseModel): bark_history_prompt: str | None elevenlabs_voice_name: str | None + elevenlabs_api_key: str | None + elevenlabs_voice_id: str | None elevenlabs_model: str | None elevenlabs_stability: float | None elevenlabs_similarity_boost: float | None @@ -100,6 +102,12 @@ def render_form_v2(self): key="text_prompt", ) + def fields_to_save(self): + fields = super().fields_to_save() + if "elevenlabs_api_key" in fields: + fields.remove("elevenlabs_api_key") + return fields + def validate_form_v2(self): assert st.session_state["text_prompt"], "Text input cannot be empty" @@ -110,7 +118,7 @@ def get_raw_price(self, state: dict): tts_provider = self._get_tts_provider(state) match tts_provider: case TextToSpeechProviders.ELEVEN_LABS: - return self._get_eleven_labs_price(state) + return self._get_elevenlabs_price(state) case _: return super().get_raw_price(state) @@ -126,22 +134,28 @@ def render_output(self): else: st.div() - def _get_eleven_labs_price(self, state: dict): - text = state.get("text_prompt", "") - # 0.079 credits / character ~ 4 credits / 10 words - return len(text) * 0.079 + def _get_elevenlabs_price(self, state: dict): + _, is_user_provided_key = self._get_elevenlabs_api_key(state) + if is_user_provided_key: + return 0 + else: + text = state.get("text_prompt", "") + # 0.079 credits / character ~ 4 credits / 10 words + return len(text) * 0.079 def _get_tts_provider(self, state: dict): tts_provider = state.get("tts_provider", TextToSpeechProviders.UBERDUCK.name) # TODO: validate tts_provider before lookup? return TextToSpeechProviders[tts_provider] - def additional_notes(self): + def get_cost_note(self): tts_provider = st.session_state.get("tts_provider") if tts_provider == TextToSpeechProviders.ELEVEN_LABS.name: - return """ - *Eleven Labs cost β‰ˆ 4 credits per 10 words* - """ + _, is_user_provided_key = self._get_elevenlabs_api_key(st.session_state) + if is_user_provided_key: + return "*Eleven Labs β‰ˆ No additional credit charge given we'll use your API key*" + else: + return "*Eleven Labs β‰ˆ 4 credits per 10 words*" else: return "" @@ -239,26 +253,17 @@ def run(self, state: dict): ) case TextToSpeechProviders.ELEVEN_LABS: + xi_api_key, is_custom_key = self._get_elevenlabs_api_key(state) assert ( - self.is_current_user_paying() or self.is_current_user_admin() + is_custom_key + or self.is_current_user_paying() + or self.is_current_user_admin() ), """ Please purchase Gooey.AI credits to use ElevenLabs voices here. """ - # default to first in the mapping - default_voice_model = next(iter(ELEVEN_LABS_MODELS)) - default_voice_name = next(iter(ELEVEN_LABS_VOICES)) - - voice_model = state.get("elevenlabs_model", default_voice_model) - voice_name = state.get("elevenlabs_voice_name", default_voice_name) - - # validate voice_model / voice_name - if voice_model not in ELEVEN_LABS_MODELS: - raise ValueError(f"Invalid model: {voice_model}") - if voice_name not in ELEVEN_LABS_VOICES: - raise ValueError(f"Invalid voice_name: {voice_name}") - else: - voice_id = ELEVEN_LABS_VOICES[voice_name] + voice_model = self._get_elevenlabs_voice_model(state) + voice_id = self._get_elevenlabs_voice_id(state) stability = state.get("elevenlabs_stability", 0.5) similarity_boost = state.get("elevenlabs_similarity_boost", 0.75) @@ -266,7 +271,7 @@ def run(self, state: dict): response = requests.post( f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}", headers={ - "xi-api-key": settings.ELEVEN_LABS_API_KEY, + "xi-api-key": xi_api_key, "Accept": "audio/mpeg", }, json={ @@ -285,6 +290,35 @@ def run(self, state: dict): "elevenlabs_gen.mp3", response.content ) + def _get_elevenlabs_voice_model(self, state: dict[str, str]): + default_voice_model = next(iter(ELEVEN_LABS_MODELS)) + voice_model = state.get("elevenlabs_model", default_voice_model) + assert voice_model in ELEVEN_LABS_MODELS, f"Invalid model: {voice_model}" + return voice_model + + def _get_elevenlabs_voice_id(self, state: dict[str, str]): + if state.get("elevenlabs_voice_id"): + assert state.get( + "elevenlabs_api_key" + ), "ElevenLabs API key is required to use a custom voice_id" + return state["elevenlabs_voice_id"] + else: + # default to first in the mapping + default_voice_name = next(iter(ELEVEN_LABS_VOICES)) + voice_name = state.get("elevenlabs_voice_name", default_voice_name) + assert voice_name in ELEVEN_LABS_VOICES, f"Invalid voice_name: {voice_name}" + return ELEVEN_LABS_VOICES[voice_name] # voice_name -> voice_id + + def _get_elevenlabs_api_key(self, state: dict[str, str]) -> tuple[str, bool]: + """ + Returns the 11labs API key and whether it is a user-provided key or the default key + """ + # ElevenLabs is available for non-paying users with their own API key + if state.get("elevenlabs_api_key"): + return state["elevenlabs_api_key"], True + else: + return settings.ELEVEN_LABS_API_KEY, False + def related_workflows(self) -> list: from recipes.VideoBots import VideoBotsPage from recipes.LipsyncTTS import LipsyncTTSPage diff --git a/recipes/VideoBots.py b/recipes/VideoBots.py index 5857b4ea3..898bd3981 100644 --- a/recipes/VideoBots.py +++ b/recipes/VideoBots.py @@ -205,6 +205,8 @@ class RequestModel(BaseModel): google_pitch: float | None bark_history_prompt: str | None elevenlabs_voice_name: str | None + elevenlabs_api_key: str | None + elevenlabs_voice_id: str | None elevenlabs_model: str | None elevenlabs_stability: float | None elevenlabs_similarity_boost: float | None @@ -430,7 +432,10 @@ def render_settings(self): lipsync_settings() def fields_to_save(self) -> [str]: - return super().fields_to_save() + ["landbot_url"] + fields = super().fields_to_save() + ["landbot_url"] + if "elevenlabs_api_key" in fields: + fields.remove("elevenlabs_api_key") + return fields def render_example(self, state: dict): input_prompt = state.get("input_prompt") @@ -607,7 +612,7 @@ def additional_notes(self): case TextToSpeechProviders.ELEVEN_LABS.name: return f""" - *Base cost = {super().get_raw_price(st.session_state)} credits* - - *Additional Eleven Labs cost β‰ˆ 4 credits per 10 words of the output* + - *Additional {TextToSpeechPage().additional_notes()}* """ case _: return "" diff --git a/recipes/asr.py b/recipes/asr.py index a11f4c762..172f57a7c 100644 --- a/recipes/asr.py +++ b/recipes/asr.py @@ -82,19 +82,7 @@ def related_workflows(self) -> list: def render_form_v2(self): document_uploader( "##### Audio Files", - accept=( - ".wav", - ".ogg", - ".mp3", - ".aac", - ".opus", - ".oga", - ".mp4", - ".webm", - ".amr", - ".aac", - ".m4a", - ), + accept=("audio/*", "video/*", "application/octet-stream"), ) col1, col2 = st.columns(2, responsive=False) with col1: @@ -169,10 +157,8 @@ def run(self, state: dict): # Save the raw ASR text for details view state["output_text"] = asr_output - def additional_notes(self) -> str | None: - return """ -*Cost β‰ˆ 1 credit for 12.5 words β‰ˆ 0.08 credits per word* - """ + def get_cost_note(self) -> str | None: + return "1 credit for 12.5 words β‰ˆ 0.08 per word" def get_raw_price(self, state: dict): texts = state.get("output_text", [])