Upload app.py

app.py

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+import os
+import gradio as gr
+from langchain.chat_models import ChatOpenAI
+from langchain import LLMChain, PromptTemplate
+from langchain.memory import ConversationBufferMemory
+
+OPENAI_API_KEY=os.getenv('OPENAI_API_KEY')
+
+template = """Meet Eva:An english teacher helping students studying grammar
+
+Your name is Eva. You are an english teacher helping students studying grammar. Respond to the following messages accordingly. Also try to correct my grammar each time i say something. You can also ask grammar related questions sometimes. Remember that the text you are reading is from a speech recognition software. So ignore spelling errors, capitalisation errors etc. You can also provide answers for other topics occasionally. You are also an excellent story writer.
+{chat_history}
+User: {user_message}
+Chatbot 
+"""
+
+prompt = PromptTemplate(
+    input_variables=["chat_history", "user_message"], template=template
+)
+
+memory = ConversationBufferMemory(memory_key="chat_history")
+
+llm_chain = LLMChain(
+    llm=ChatOpenAI(api_key="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",temperature='0.5', model_name="gpt-3.5-turbo"),
+    prompt=prompt,
+    verbose=True,
+    memory=memory,
+)
+
+def get_text_response(user_message,history):
+    response = llm_chain.predict(user_message = user_message)
+    return response
+
+demo = gr.ChatInterface(get_text_response)
+
+if __name__ == "__main__":
+    demo.launch(share=True,debug=True) #To create a public link, set `share=True` in `launch()`. To enable errors and logs, set `debug=True` in `launch()`.