Create app.py

app.py

@@ -0,0 +1,47 @@
+import gradio as gr
+
+def greet(text):
+
+    from langchain.chat_models import ChatOllama
+    from langchain.document_loaders import WebBaseLoader
+    from langchain.chains.summarize import load_summarize_chain
+    
+    loader = WebBaseLoader("https://lilianweng.github.io/posts/2023-06-23-agent/")
+    docs = loader.load()
+    
+    llm = ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo-16k")
+    chain = load_summarize_chain(llm, chain_type="stuff")
+    
+    chain.run(docs)
+
+    from langchain.chains.llm import LLMChain
+    from langchain.prompts import PromptTemplate
+    from langchain.chains.combine_documents.stuff import StuffDocumentsChain
+    
+    # Define prompt
+    prompt_template = """Write a concise summary of the following:
+    "{text}"
+    CONCISE SUMMARY:"""
+    prompt = PromptTemplate.from_template(prompt_template)
+    
+    # Define LLM chain
+    llm = ChatOllama(temperature=0, model_name="falcon:7b-instruct")
+    llm_chain = LLMChain(llm=llm, prompt=prompt)
+    
+    # Define StuffDocumentsChain
+    stuff_chain = StuffDocumentsChain(
+        llm_chain=llm_chain, document_variable_name="text"
+    )
+    
+    docs = loader.load()
+    summary = stuff_chain.run(docs)
+    
+    return summary
+
+with gr.Blocks() as demo:
+    text = gr.Textbox(label="Text")
+    summary = gr.Textbox(label="Summary")
+    greet_btn = gr.Button("Submit")
+    greet_btn.click(fn=greet, inputs=text, outputs=summary, api_name="greet")
+
+demo.launch()