Upload folder using huggingface_hub

.github/workflows/update_space.yml

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+name: Run Python script
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.9'
+
+    - name: Install Gradio
+      run: python -m pip install gradio
+
+    - name: Log in to Hugging Face
+      run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
+
+    - name: Deploy to Spaces
+      run: gradio deploy

00-00_voice2text.py

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+import whisper
+import gradio as gr 
+import time
+from pyChatGPT import ChatGPT
+import warnings
+import openai
+from gtts import gTTS
+from dotenv import load_dotenv
+import os
+
+# Load the .env file and import variables
+load_dotenv()
+
+# Assign the values to python variables
+OPENAI_API_KEY = os.getenv('openai_api_key')
+
+warnings.filterwarnings("ignore")
+model = whisper.load_model("base")
+
+def transcribe(audio):
+
+    # load audio and pad/trim it to fit 30 seconds
+    audio = whisper.load_audio(audio)
+    audio = whisper.pad_or_trim(audio)
+
+    # make log-Mel spectrogram and move to the same device as the model
+    mel = whisper.log_mel_spectrogram(audio).to(model.device)
+
+    # detect the spoken language
+    _, probs = model.detect_language(mel)
+
+    # decode the audio
+    options = whisper.DecodingOptions(fp16=False)
+    result = whisper.decode(model, mel, options)
+    result_text = result.text
+
+    # Call OpenAI API for text for reply back.
+    openai.api_key = OPENAI_API_KEY
+    result = openai.Completion.create(
+                model="text-davinci-003",
+                prompt=result_text,
+                max_tokens=500,
+                temperature=0
+                )  
+    out_result = result["choices"][0]["text"]
+    return [result_text, out_result]
+
+output_1 = gr.Textbox(label="Speech to Text")
+output_2 = gr.Textbox(label="ChatGPT Output")
+
+gr.Interface(
+    title = 'Voice to Text using OpenAI (KF)', 
+    fn=transcribe, 
+    inputs=[
+        gr.inputs.Audio(source="microphone", type="filepath")
+    ],
+
+    outputs=[
+        output_1,  output_2
+    ],
+    live=True, allow_flagging=False).launch(share=True)

00-01_voice2text.py

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+import whisper
+import gradio as gr 
+import time
+from pyChatGPT import ChatGPT
+import warnings
+from gtts import gTTS
+
+
+warnings.filterwarnings("ignore")
+# model = whisper.load_model("base")
+model = whisper.load_model("base")
+
+def transcribe(audio):
+
+    # load audio and pad/trim it to fit 30 seconds
+    audio = whisper.load_audio(audio)
+    audio = whisper.pad_or_trim(audio)
+
+    # make log-Mel spectrogram and move to the same device as the model
+    mel = whisper.log_mel_spectrogram(audio).to(model.device)
+
+    # decode the audio
+    options = whisper.DecodingOptions(fp16=False)
+    result = whisper.decode(model, mel, options)
+    result_text = result.text
+
+    # print the result
+    return result_text
+
+output_1 = gr.Textbox(label="Speech to Text")
+
+gr.Interface(
+    title = 'Voice to Text (KF)', 
+    fn=transcribe, 
+    inputs=[
+        gr.inputs.Audio(source="microphone", type="filepath")
+    ],
+
+    outputs=[
+        output_1
+    ],
+    live=True, allow_flagging=False).launch(share=True)

README.md

@@ -1,12 +1,6 @@
 ---
-title: V2t
-emoji: 🐢
-colorFrom: red
-colorTo: red
+title: v2t
+app_file: 00-01_voice2text.py
 sdk: gradio
-sdk_version: 3.44.0
-app_file: app.py
-pinned: false
+sdk_version: 3.42.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,104 @@
+aiofiles==23.2.1
+aiohttp==3.8.5
+aiosignal==1.3.1
+altair==5.1.1
+anyio==3.7.1
+async-timeout==4.0.3
+attrs==23.1.0
+beautifulsoup4==4.12.2
+certifi==2023.7.22
+charset-normalizer==3.2.0
+click==8.1.7
+contourpy==1.1.0
+cycler==0.11.0
+dacite==1.8.1
+exceptiongroup==1.1.3
+fastapi==0.103.1
+ffmpy==0.3.1
+filelock==3.12.3
+fonttools==4.42.1
+frozenlist==1.4.0
+fsspec==2023.9.0
+gradio==3.42.0
+gradio_client==0.5.0
+gTTS==2.3.2
+h11==0.14.0
+htmlmin==0.1.12
+httpcore==0.17.3
+httpx==0.24.1
+huggingface-hub==0.16.4
+idna==3.4
+ImageHash==4.3.1
+importlib-resources==6.0.1
+Jinja2==3.1.2
+joblib==1.3.2
+jsonschema==4.19.0
+jsonschema-specifications==2023.7.1
+kiwisolver==1.4.5
+llvmlite==0.40.1
+markdownify==0.11.6
+MarkupSafe==2.1.3
+matplotlib==3.7.2
+more-itertools==10.1.0
+mpmath==1.3.0
+multidict==6.0.4
+multimethod==1.9.1
+networkx==3.1
+numba==0.57.1
+numpy==1.23.5
+openai==0.28.0
+openai-whisper @ git+https://github.com/openai/whisper.git@e8622f9afc4eba139bf796c210f5c01081000472
+orjson==3.9.5
+outcome==1.2.0
+packaging==23.1
+pandas==2.0.3
+pandas-profiling==3.6.6
+patsy==0.5.3
+phik==0.12.3
+Pillow==10.0.0
+pyChatGPT==0.4.3.3
+pydantic==1.10.12
+pydub==0.25.1
+pyparsing==3.0.9
+PySocks==1.7.1
+python-dateutil==2.8.2
+python-multipart==0.0.6
+pytz==2023.3
+PyWavelets==1.4.1
+PyYAML==6.0.1
+referencing==0.30.2
+regex==2023.8.8
+requests==2.31.0
+rpds-py==0.10.2
+scipy==1.11.2
+seaborn==0.12.2
+selenium==4.12.0
+semantic-version==2.10.0
+six==1.16.0
+sniffio==1.3.0
+sortedcontainers==2.4.0
+soupsieve==2.5
+starlette==0.27.0
+statsmodels==0.14.0
+sympy==1.12
+tangled-up-in-unicode==0.2.0
+tiktoken==0.3.3
+toolz==0.12.0
+torch==2.0.1
+tqdm==4.66.1
+trio==0.22.2
+trio-websocket==0.10.4
+typeguard==2.13.3
+typing_extensions==4.7.1
+tzdata==2023.3
+undetected-chromedriver==3.5.3
+urllib3==2.0.4
+uvicorn==0.23.2
+visions==0.7.5
+websockets==11.0.3
+whisper==1.1.10
+wordcloud==1.9.2
+wsproto==1.2.0
+yarl==1.9.2
+ydata-profiling==4.5.1
+zipp==3.16.2