Update app.py

app.py

@@ -0,0 +1,28 @@
+from llama_index.core import SimpleDirectoryReader
+from llama_index.core import VectorStoreIndex
+from llama_index.llms.ollama import Ollama
+
+loader = SimpleDirectoryReader(input_dir="./test/", recursive=True,required_exts=[".epub",".pdf"],)
+documents = loader.load_data()
+
+from llama_index.embeddings.huggingface import HuggingFaceEmbedding
+
+embedding_model = HuggingFaceEmbedding(model_name="sentence-transformers/all-MiniLM-L6-v2")
+
+
+
+llama = Ollama(model="phi3", request_timeout=100000,)
+
+index = VectorStoreIndex.from_documents(documents,embed_model=embedding_model,)
+
+import gradio as gr
+
+# chathistory = []
+def chatbot(q,history):
+    query_engine = index.as_query_engine(llm=llama) 
+    answer = query_engine.query(q)
+
+    return str(answer)
+
+
+gr.ChatInterface(chatbot).launch(share=True)