from prompt 2third_prompt = PromptTemplate(    input_variables=["company_logo_description"],    template="{company_logo_description}",)chain_three = LLMChain(llm=text2image, prompt=third_prompt)Now let's run it!# Run the chain specifying only the input variable for the first chain.overall_chain = SimpleSequentialChain(    chains=[chain, chain_two, chain_three], verbose=True)catchphrase = overall_chain.run("colorful socks")print(catchphrase)            > Entering new SimpleSequentialChain chain...    Colorful socks could be named after a song by The Beatles or a color (yellow, blue, pink). A good combination of letters and digits would be 6399. Apple also owns the domain 6399.com so this could be reserved for the Company.            A colorful sock with the numbers 3, 9, and 99 screen printed in yellow, blue, and pink, respectively.            https://pbxt.replicate.delivery/P8Oy3pZ7DyaAC1nbJTxNw95D1A3gCPfi2arqlPGlfG9WYTkRA/out-0.png        > Finished chain.    https://pbxt.replicate.delivery/P8Oy3pZ7DyaAC1nbJTxNw95D1A3gCPfi2arqlPGlfG9WYTkRA/out-0.pngresponse = requests.get(    "https://replicate.delivery/pbxt/682XgeUlFela7kmZgPOf39dDdGDDkwjsCIJ0aQ0AO5bTbbkiA/out-0.png")img = Image.open(BytesIO(response.content))imgPreviousRELLMNextRunhouseSetupCalling a modelStreaming ResponseChaining CallsCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Replicate runs machine learning models in the cloud. We have a library of open-source models that you can run with a few lines of code. If you're building your own machine learning models, Replicate makes it easy to deploy them at scale.
Replicate runs machine learning models in the cloud. We have a library of open-source models that you can run with a few lines of code. If you're building your own machine learning models, Replicate makes it easy to deploy them at scale. ->: from prompt 2third_prompt = PromptTemplate(    input_variables=["company_logo_description"],    template="{company_logo_description}",)chain_three = LLMChain(llm=text2image, prompt=third_prompt)Now let's run it!# Run the chain specifying only the input variable for the first chain.overall_chain = SimpleSequentialChain(    chains=[chain, chain_two, chain_three], verbose=True)catchphrase = overall_chain.run("colorful socks")print(catchphrase)            > Entering new SimpleSequentialChain chain...    Colorful socks could be named after a song by The Beatles or a color (yellow, blue, pink). A good combination of letters and digits would be 6399. Apple also owns the domain 6399.com so this could be reserved for the Company.            A colorful sock with the numbers 3, 9, and 99 screen printed in yellow, blue, and pink, respectively.            https://pbxt.replicate.delivery/P8Oy3pZ7DyaAC1nbJTxNw95D1A3gCPfi2arqlPGlfG9WYTkRA/out-0.png        > Finished chain.    https://pbxt.replicate.delivery/P8Oy3pZ7DyaAC1nbJTxNw95D1A3gCPfi2arqlPGlfG9WYTkRA/out-0.pngresponse = requests.get(    "https://replicate.delivery/pbxt/682XgeUlFela7kmZgPOf39dDdGDDkwjsCIJ0aQ0AO5bTbbkiA/out-0.png")img = Image.open(BytesIO(response.content))imgPreviousRELLMNextRunhouseSetupCalling a modelStreaming ResponseChaining CallsCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.