Delete app.py

app.py

@@ -1,41 +0,0 @@
-import gradio as gr
-from langchain import PromptTemplate, LlamaCpp, LLMChain, FAISS
-from langchain.callbacks import StreamingStdOutCallbackHandler
-from langchain.callbacks.manager import CallbackManager
-from langchain.chains.question_answering import load_qa_chain
-import dill
-def greet(name):
-    db = dill.load(open("client_embebedings.mate", "rb"))
-    #return name+db
-    docs = db.similarity_search(name)
-    return chain.run(input_documents=docs, question=name)
-
-def greet1(name):
-    return "Hello ya client" +name
-
-iface = gr.Blocks()
-
-with iface:
-    callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])
-    chain = load_qa_chain( LlamaCpp(
-        model_path="llama-13B-Q4_K_M.gguf",
-        temperature=0,
-        top_p= 1,
-        callback_manager=callback_manager,
-        verbose=True,
-        n_ctx=8169,
-
-    ), chain_type="stuff")
-    name = gr.Textbox(label="Name")
-    output = gr.Textbox(label="Output Box")
-
-    greet_btn = gr.Button("Greet")
-    greet_btn.click(fn=greet, inputs=name, outputs=output, api_name="greet")
-
-    greet1_btn = gr.Button("Greet1")
-    greet1_btn.click(fn=greet1, inputs=name, outputs=output, api_name="testing")
-
-iface.launch()
-
-
-