allow runing the project without azure and 11 labs keys

README.md

@@ -14,6 +14,30 @@
 * Run `./manage.py migrate`
 * Install the zbar library (`brew install zbar`)
 
+### Create a google cloud / firebase account
+
+1. Create a [google cloud](https://console.cloud.google.com/) project
+2. Create a [firebase project](https://console.firebase.google.com/) (using the same google cloud project) 
+3. Enable the following services:
+   - [Firestore](https://console.firebase.google.com/project/_/firestore/databases)
+   - [Authentication](https://console.firebase.google.com/project/_/authentication/users)
+   - [Speech-to-Text](https://console.cloud.google.com/marketplace/product/google/speech.googleapis.com)
+   - [Text-to-Speech](https://console.cloud.google.com/marketplace/product/google/texttospeech.googleapis.com)
+   - [Translation API](https://console.cloud.google.com/marketplace/product/google/translate.googleapis.com)
+   - [Google Drive API](https://console.cloud.google.com/apis/library/drive.googleapis.com)
+4. Go to IAM, Create a service account with following roles:
+   - Cloud Datastore User
+   - Cloud Speech Administrator
+   - Cloud Translation API Admin
+   - Firebase Authentication Admin
+5. Download the `serviceAccountKey.json` and save it to the project root.
+
+* Run tests to see if everything is working fine:
+  ``` 
+  ./scripts/run-tests.sh
+  ```
+  (If you run into issues with the number of open files, you can remove the limit with `ulimit -n unlimited`)
+
 ## Run
 
 You can start all required processes in one command with Honcho:
@@ -43,10 +67,6 @@ to run it.
 **Note:** the Celery worker must be manually restarted on code changes. You
 can do this by stopping and starting Honcho.
 
-## To run any recipe 
-
-* Save `serviceAccountKey.json` to project root
-
 ## To run vespa (used for vector search)
 
 You need to install OrbStack or Docker Desktop for this to work.
@@ -177,12 +197,6 @@ docker exec -it $cid poetry run ./manage.py runscript create_fixture
 docker exec -it $cid poetry run ./manage.py runscript upload_fixture
 ```
 
-Save the new fixture url in `scripts/run-tests.sh` and run the tests -
-
-```bash
-./scripts/run-tests.sh
-```
-
 To load the fixture on local db -
 
 ```bash

daras_ai_v2/text_to_speech_settings_widgets.py

@@ -195,7 +195,10 @@ def openai_tts_settings():
 
 
 def azure_tts_selector():
-    voices = azure_tts_voices()
+    if settings.AZURE_SPEECH_KEY:
+        voices = azure_tts_voices()
+    else:
+        voices = {}
     st.selectbox(
         label="""
         ###### Azure TTS Voice name
@@ -208,7 +211,7 @@ def azure_tts_selector():
 
 def azure_tts_settings():
     voice_name = st.session_state.get("azure_voice_name")
-    if not voice_name:
+    if not voice_name or not settings.AZURE_SPEECH_KEY:
         return
     try:
         voice = azure_tts_voices()[voice_name]
@@ -382,7 +385,10 @@ def elevenlabs_selector(page):
                 Alternatively, you can use your own ElevenLabs API key by selecting the checkbox above.
                 """
             )
-        voices = default_elevenlabs_voices()
+        if settings.ELEVEN_LABS_API_KEY:
+            voices = default_elevenlabs_voices()
+        else:
+            voices = {}
 
     page.request.session[SESSION_ELEVENLABS_API_KEY] = st.session_state.get(
         "elevenlabs_api_key"

recipes/VideoBots.py

@@ -14,7 +14,7 @@
 from daras_ai.image_input import (
     truncate_text_words,
 )
-from daras_ai_v2 import icons
+from daras_ai_v2 import icons, settings
 from daras_ai_v2.asr import (
     translation_model_selector,
     translation_language_selector,
@@ -437,7 +437,10 @@ def render_form_v2(self):
                 st.session_state.get("document_model"),
             ),
         ):
-            doc_model_descriptions = azure_form_recognizer_models()
+            if settings.AZURE_FORM_RECOGNIZER_KEY:
+                doc_model_descriptions = azure_form_recognizer_models()
+            else:
+                doc_model_descriptions = {}
             st.selectbox(
                 f"{field_desc(self.RequestModel, 'document_model')}",
                 key="document_model",