app1

app.py

@@ -1,20 +1,16 @@
 import gradio as gr
-from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
+
 import torch
 import theme
-
+theme = theme.Theme()
 from huggingface_hub import from_pretrained_keras
 from tensorflow.keras.applications import EfficientNetB0
 
 import tensorflow as tf
 from tensorflow import keras
 from PIL import Image
-
-theme = theme.Theme()
-
-import os
-import sys
-sys.path.append('../..')
+from pydantic.v1 import BaseModel, Field
+import shutil
 
 #langchain
 from langchain.text_splitter import RecursiveCharacterTextSplitter, CharacterTextSplitter
@@ -37,8 +33,6 @@ from langchain.document_loaders import PyPDFDirectoryLoader
 from langchain.output_parsers import PydanticOutputParser
 from langchain_community.llms import HuggingFaceHub
 from langchain_community.document_loaders import WebBaseLoader
-from pydantic.v1 import BaseModel, Field
-import shutil
 
 
 custom_title = "<span style='color: rgb(243, 239, 224);'>Green Greta</span>"
@@ -173,7 +167,6 @@ def chat_interface(question,history):
 
 chatbot_gradio_app = gr.ChatInterface(
     fn=chat_interface,
-    additional_inputs=gr.Audio(sources=["microphone"]),
     title=custom_title
 )
 

pdfs/Acceptable-Ways-to-separate-and-dispose-of-garbage-and-recyclables.pdf

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:17ded317a5f64e275957fe163573c814d32db17f1dd266bd1053c1b3fc156550
-size 5411060

pdfs/Advice-on-recycling-and-resource-recovery-FINAL-REPORT.pdf

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1a171f4d8d68655f216906aff6a7227483d6106df1d86ea6d7186c0832dafb73
-size 9129696

pdfs/Guidance on municipal waste data collection.pdf

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e72519ac0a1f98c9fdbf355f39d1bd15ec1c1d56b6f760808f1a3e4b63e697f6
-size 2500966

pdfs/mygov-999999999489028046.pdf

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d77c23ca4040122f8de56bbe113260f46da1621ba8e5bf5ce7de87dde447173b
-size 1434758