Delete app.py

app.py

@@ -1,43 +0,0 @@
-import logging
-import sys
-import gradio as gr
-import asyncio
-import nest_asyncio
-
-logging.basicConfig(stream=sys.stdout, level=logging.INFO)
-logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
-
-from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
-from llama_index.llms import HuggingFaceLLM
-from langchain.embeddings import HuggingFaceEmbeddings
-from g4f import Provider, models
-from langchain.llms.base import LLM
-from llama_index.llms import LangChainLLM
-from langchain_g4f import G4FLLM
-
-nest_asyncio.apply()
-
-documents = SimpleDirectoryReader('data').load_data()
-
-embed_model = HuggingFaceEmbeddings(
-    model_name="sentence-transformers/all-mpnet-base-v2"
-)
-
-async def main(query):
-    llm: LLM = G4FLLM(
-        model=models.gpt_35_turbo,
-        provider=Provider.DeepAi,
-    )
-
-    llm = LangChainLLM(llm=llm)
-
-    service_context = ServiceContext.from_defaults(chunk_size=512, llm=llm, embed_model=embed_model)
-
-    index = VectorStoreIndex.from_documents(documents, service_context=service_context)
-
-    query_engine = index.as_query_engine()
-    response = query_engine.query(query)
-    return response
-
-iface = gr.Interface(fn=main, inputs="text", outputs="text")
-iface.launch()