Shrirang20 commited on
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d7f6928
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1 Parent(s): bed9362

Update app.py

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  1. app.py +1 -57
app.py CHANGED
@@ -1,23 +1,5 @@
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- # Commented out IPython magic to ensure Python compatibility.
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- # %%shell
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- # pip install -q langchain_community langchain_huggingface faiss-cpu gradio openai google-generativeai langchain-google-genai torch torchvision torchaudio youtokentome pypdf accelerate
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-
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-
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-
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- # Commented out IPython magic to ensure Python compatibility.
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- # %%capture
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- # %%shell
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- #
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- # # Install the custom version of NeMo by AI4Bharat
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- # wget https://indic-asr-public.objectstore.e2enetworks.net/ai4b_nemo.zip
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- #
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- # unzip -q /content/ai4b_nemo.zip && cd NeMo
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- # bash reinstall.sh
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- #
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- # cd ..
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- #
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  import os
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  import subprocess
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  import sys
@@ -62,44 +44,6 @@ if not os.path.exists(setup_flag):
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  os.execv(sys.executable, ['python'] + sys.argv)
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- # Commented out IPython magic to ensure Python compatibility.
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- # %%capture
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- # %%shell
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- #
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- # git clone -q https://github.com/VarunGumma/IndicTransTokenizer
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- # cd IndicTransTokenizer
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- # pip install -q --editable ./
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- # cd ..
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- #
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-
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-
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- # Commented out IPython magic to ensure Python compatibility.
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- # %%capture
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- # %%shell
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- #
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- # apt-get install libsndfile1-dev ffmpeg
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-
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- # git clone https://github.com/gokulkarthik/TTS
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- # cd TTS
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-
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- # pip3 install -e .[all]
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- # pip3 install -r requirements.txt
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-
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- # cd ..
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- #
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-
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- """## **Restart session**
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- """
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-
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- # Commented out IPython magic to ensure Python compatibility.
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- # %%capture
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- # !pip install gradio
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-
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- # Commented out IPython magic to ensure Python compatibility.
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- # %%capture
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- #
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- # # INFO: If you're unable to import these libraries, just rerun this cell again.
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- #
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  import gradio as gr
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  from torch import cuda, inference_mode
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  import nemo.collections.asr as nemo_asr
@@ -165,7 +109,7 @@ def get_gemini_output(prompt, temperature=0.6):
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  model = genai.GenerativeModel(model_name='gemini-pro')
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  answer = model.generate_content(prompt,
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  generation_config=genai.types.GenerationConfig(
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- temperature=0.6))
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  return answer.text
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  import os
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  import subprocess
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  import sys
 
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  os.execv(sys.executable, ['python'] + sys.argv)
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  import gradio as gr
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  from torch import cuda, inference_mode
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  import nemo.collections.asr as nemo_asr
 
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  model = genai.GenerativeModel(model_name='gemini-pro')
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  answer = model.generate_content(prompt,
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  generation_config=genai.types.GenerationConfig(
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+ temperature=0.1))
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  return answer.text
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