Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from langchain import PromptTemplate, LLMChain
+from langchain_huggingface import HuggingFacePipeline, HuggingFaceEndpoint
+from transformers import pipeline
+import os
+#os.environ["HUGGINGFACEHUB_API_TOKEN"]
+pipe = pipeline(
+    'text2text-generation',
+    model='ahmadmac/Trained-T5-large',
+    max_length=60,
+    do_sample=True,
+    temperature=1.0
+)
+llm = HuggingFacePipeline(pipeline=pipe)
+prompt_template = """ you are a highly knownlegdable AI assistant.Engage in a conversation with the user.Your main is to provide clear and informative answer to the user questions.
+User: {question}
+Assistant:"""
+prompt = PromptTemplate(template=prompt_template, input_variables=["question"])
+chain = LLMChain(llm=llm, prompt=prompt)
+def chatbot(question,chat_history):
+    response = chain.run(question)
+    return response
+demo = gr.ChatInterface(
+    fn=chatbot,
+    title="Chatbot",
+    description="AI Assistant!!"
+)
+demo.launch()